Speakers | Kisaco Research

Speakers

AI Hardware & Edge AI Summit
10-12 September, 2024
Signia by Hilton, San Jose, CA

Our Confirmed 2023 Speakers Included:

 

  • Author:

    Andrew Ng

    Founder & CEO
    Landing AI

    Dr. Andrew Ng is a globally recognized leader in AI (Artificial Intelligence). He is Founder of DeepLearning.AI, Founder & CEO of Landing AI, General Partner at AI Fund, Chairman & Co-Founder of Coursera and an Adjunct Professor at Stanford University’s Computer Science Department.

    In 2011, he led the development of Stanford University's main MOOC (Massive Open Online Courses) platform and taught an online Machine Learning course that was offered to over 100,000 students leading to the founding of Coursera where he is currently Chairman and Co-founder.

    Previously, he was Chief Scientist at Baidu, where he led the company’s ~1300 person AI Group and was responsible for driving the company’s global AI strategy and infrastructure. He was also the founding lead of the Google Brain team.

    As a pioneer in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, and has authored or co-authored over 200 research papers in machine learning, robotics and related fields. In 2013, he was named to the Time 100 list of the most influential persons in the world. He holds degrees from Carnegie Mellon University, MIT and the University of California, Berkeley.

     

    Andrew Ng

    Founder & CEO
    Landing AI

    Dr. Andrew Ng is a globally recognized leader in AI (Artificial Intelligence). He is Founder of DeepLearning.AI, Founder & CEO of Landing AI, General Partner at AI Fund, Chairman & Co-Founder of Coursera and an Adjunct Professor at Stanford University’s Computer Science Department.

    In 2011, he led the development of Stanford University's main MOOC (Massive Open Online Courses) platform and taught an online Machine Learning course that was offered to over 100,000 students leading to the founding of Coursera where he is currently Chairman and Co-founder.

    Previously, he was Chief Scientist at Baidu, where he led the company’s ~1300 person AI Group and was responsible for driving the company’s global AI strategy and infrastructure. He was also the founding lead of the Google Brain team.

    As a pioneer in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, and has authored or co-authored over 200 research papers in machine learning, robotics and related fields. In 2013, he was named to the Time 100 list of the most influential persons in the world. He holds degrees from Carnegie Mellon University, MIT and the University of California, Berkeley.

     

  • Author:

    Jim Keller

    CEO
    Tenstorrent

    Jim Keller is the CEO of Tenstorrent and a veteran hardware engineer. Prior to joining Tenstorrent, he served two years as Senior Vice President of Intel's Silicon Engineering Group. He has held roles as Tesla's Vice President of Autopilot and Low Voltage Hardware, Corporate Vice President and Chief Cores Architect at AMD, and Vice President of Engineering and Chief Architect at P.A. Semi, which was acquired by Apple Inc. Jim has led multiple successful silicon designs over the decades, from the DEC Alpha processors, to AMD K7/K8/K12, HyperTransport and the AMD Zen family, the Apple A4/A5 processors, and Tesla's self-driving car chip.

    Jim Keller

    CEO
    Tenstorrent

    Jim Keller is the CEO of Tenstorrent and a veteran hardware engineer. Prior to joining Tenstorrent, he served two years as Senior Vice President of Intel's Silicon Engineering Group. He has held roles as Tesla's Vice President of Autopilot and Low Voltage Hardware, Corporate Vice President and Chief Cores Architect at AMD, and Vice President of Engineering and Chief Architect at P.A. Semi, which was acquired by Apple Inc. Jim has led multiple successful silicon designs over the decades, from the DEC Alpha processors, to AMD K7/K8/K12, HyperTransport and the AMD Zen family, the Apple A4/A5 processors, and Tesla's self-driving car chip.

  • Author:

    Alexis Black Bjorlin

    VP, Infrastructure Hardware
    Meta

    Dr. Alexis Black Bjorlin is VP, Infrastructure Hardware Engineering at Meta. She also serves on the board of directors at Digital Realty and Celestial AI. Prior to Meta, Dr. Bjorlin was Senior Vice President and General Manager of Broadcom’s Optical Systems Division and previously Corporate Vice President of the Data Center Group and General Manager of the Connectivity Group at Intel. Prior to Intel, she spent eight years as President of Source Photonics, where she also served on the board of directors. She earned a B.S. in Materials Science and Engineering from Massachusetts Institute of Technology and a Ph.D. in Materials Science from the University of California at Santa Barbara.

    Alexis Black Bjorlin

    VP, Infrastructure Hardware
    Meta

    Dr. Alexis Black Bjorlin is VP, Infrastructure Hardware Engineering at Meta. She also serves on the board of directors at Digital Realty and Celestial AI. Prior to Meta, Dr. Bjorlin was Senior Vice President and General Manager of Broadcom’s Optical Systems Division and previously Corporate Vice President of the Data Center Group and General Manager of the Connectivity Group at Intel. Prior to Intel, she spent eight years as President of Source Photonics, where she also served on the board of directors. She earned a B.S. in Materials Science and Engineering from Massachusetts Institute of Technology and a Ph.D. in Materials Science from the University of California at Santa Barbara.

  • Author:

    Amin Vahdat

    Fellow & VP of ML, Systems & Cloud AI
    Google

    Amin Vahdat is a Fellow and Vice President of Engineering at Google, where his team is responsible for delivering industry-best Machine Learning software and hardware that serves all of Google and the world, now and in the future, and Artificial Intelligence technologies that solve customers’ most pressing business challenges. He previously led the Systems and Services Infrastructure organization from 2021 until the present, and the Systems Infrastructure organization from 2019 - 2021. Until 2019, he was the area Technical Lead for the Networking organization at Google, responsible for Google's technical infrastructure roadmap in collaboration with the Compute, Storage, and Hardware organizations. 

    Before joining Google, Amin was the Science Applications International Corporation (SAIC) Professor of Computer Science and Engineering at UC San Diego (UCSD) and the Director of UCSD’s Center for Networked Systems. He received his doctorate from the University of California Berkeley in computer science, and is a member of the National Academy of Engineering (NAE) and an Association for Computing Machinery (ACM) Fellow. 

    Amin has been recognized with a number of awards, including the National Science Foundation (NSF) CAREER award, the UC Berkeley Distinguished EECS Alumni Award, the Alfred P. Sloan Fellowship, the Association for Computing Machinery's SIGCOMM Networking Systems Award, and the Duke University David and Janet Vaughn Teaching Award. Most recently, Amin was awarded the SIGCOMM lifetime achievement award for his contributions to data center and wide area networks.

    Amin Vahdat

    Fellow & VP of ML, Systems & Cloud AI
    Google

    Amin Vahdat is a Fellow and Vice President of Engineering at Google, where his team is responsible for delivering industry-best Machine Learning software and hardware that serves all of Google and the world, now and in the future, and Artificial Intelligence technologies that solve customers’ most pressing business challenges. He previously led the Systems and Services Infrastructure organization from 2021 until the present, and the Systems Infrastructure organization from 2019 - 2021. Until 2019, he was the area Technical Lead for the Networking organization at Google, responsible for Google's technical infrastructure roadmap in collaboration with the Compute, Storage, and Hardware organizations. 

    Before joining Google, Amin was the Science Applications International Corporation (SAIC) Professor of Computer Science and Engineering at UC San Diego (UCSD) and the Director of UCSD’s Center for Networked Systems. He received his doctorate from the University of California Berkeley in computer science, and is a member of the National Academy of Engineering (NAE) and an Association for Computing Machinery (ACM) Fellow. 

    Amin has been recognized with a number of awards, including the National Science Foundation (NSF) CAREER award, the UC Berkeley Distinguished EECS Alumni Award, the Alfred P. Sloan Fellowship, the Association for Computing Machinery's SIGCOMM Networking Systems Award, and the Duke University David and Janet Vaughn Teaching Award. Most recently, Amin was awarded the SIGCOMM lifetime achievement award for his contributions to data center and wide area networks.

  • Author:

    Bratin Saha

    VP & GM, ML & AI Services
    Amazon

    Dr. Bratin Saha is the Vice President of Machine Learning and AI services at AWS where he leads all the ML and AI services and helped build one of the fastest growing businesses in AWS history. He is an alumnus of Harvard Business School (General Management Program), Yale University (PhD Computer Science), and Indian Institute of Technology (BS Computer Science). He has more than 70 patents granted (with another 50+ pending) and more than 30 papers in conferences/journals. Prior to Amazon he worked at Nvidia and Intel leading different product groups spanning imaging, analytics, media processing, high performance computing, machine learning, and software infrastructure.

    Bratin Saha

    VP & GM, ML & AI Services
    Amazon

    Dr. Bratin Saha is the Vice President of Machine Learning and AI services at AWS where he leads all the ML and AI services and helped build one of the fastest growing businesses in AWS history. He is an alumnus of Harvard Business School (General Management Program), Yale University (PhD Computer Science), and Indian Institute of Technology (BS Computer Science). He has more than 70 patents granted (with another 50+ pending) and more than 30 papers in conferences/journals. Prior to Amazon he worked at Nvidia and Intel leading different product groups spanning imaging, analytics, media processing, high performance computing, machine learning, and software infrastructure.

  • Author:

    Marc Tremblay

    VP & Distinguished Engineer
    Microsoft

    Marc is a Distinguished Engineer and VP in the Office of the CTO (OCTO) at Microsoft. His current role is to drive the strategic and technical direction of the company on silicon and hardware systems from a cross-divisional standpoint. This includes Artificial Intelligence, from supercomputer to client devices to Xbox, etc., and general-purpose computing. Throughout his career, Marc has demonstrated a passion for translating high-level application requirements into optimizations up and down the stack, all the way to silicon. AI has been his focus for the past several years, but his interests also encompass accelerators for the cloud, scale-out systems, and process technology. He has given multiple keynotes on AI Hardware, published many papers on throughput computing, multi-cores, multithreading, transactional memory, speculative multi-threading, Java computing, etc. and he is an inventor of over 300 patents on those topics.

    Prior to Microsoft, Marc was the CTO of Microelectronics at Sun Microsystems. As a Sun Fellow and SVP, he was responsible for the technical leadership of 1200 engineers. Throughout his career, he has started, architected, led, defined and shipped a variety of microprocessors such as superscalar RISC processors (UltraSPARC I/II), bytecode engines (picoJava), VLIW, media and Java-focused (MAJC), and the first processor to implement speculative multithreading and transactional memory (ROCK – first silicon). He received his M.S. and Ph.D. degrees in Computer Sciences from UCLA and his Physics Engineering degree from Laval University in Canada. Marc is on the board of directors of QuantalRF.

    Marc Tremblay

    VP & Distinguished Engineer
    Microsoft

    Marc is a Distinguished Engineer and VP in the Office of the CTO (OCTO) at Microsoft. His current role is to drive the strategic and technical direction of the company on silicon and hardware systems from a cross-divisional standpoint. This includes Artificial Intelligence, from supercomputer to client devices to Xbox, etc., and general-purpose computing. Throughout his career, Marc has demonstrated a passion for translating high-level application requirements into optimizations up and down the stack, all the way to silicon. AI has been his focus for the past several years, but his interests also encompass accelerators for the cloud, scale-out systems, and process technology. He has given multiple keynotes on AI Hardware, published many papers on throughput computing, multi-cores, multithreading, transactional memory, speculative multi-threading, Java computing, etc. and he is an inventor of over 300 patents on those topics.

    Prior to Microsoft, Marc was the CTO of Microelectronics at Sun Microsystems. As a Sun Fellow and SVP, he was responsible for the technical leadership of 1200 engineers. Throughout his career, he has started, architected, led, defined and shipped a variety of microprocessors such as superscalar RISC processors (UltraSPARC I/II), bytecode engines (picoJava), VLIW, media and Java-focused (MAJC), and the first processor to implement speculative multithreading and transactional memory (ROCK – first silicon). He received his M.S. and Ph.D. degrees in Computer Sciences from UCLA and his Physics Engineering degree from Laval University in Canada. Marc is on the board of directors of QuantalRF.

  • Author:

    Jia Li

    Co-Founder, Chief AI Officer & President
    LiveX AI

    Jia is Co-founder, Chief AI Officer and President of a Stealth Generative AI Startup. She is elected as IEEE Fellow for Leadership in Large Scale AI. She is co-teaching the inaugural course of Generative AI and Medicine at Stanford University, where she has served multiple roles including Advisory Board Committee to Nourish, Chief AI Fellow, RWE for Sleep Health and Adjunct Professor at the School of Medicine in the past. She was the Founding Head of R&D at Google Cloud AI. At Google, she oversaw the development of the full stack of AI products on Google Cloud to power solutions for diverse industries. With the passion to make more impact to our everyday life, she later became an entrepreneur, building and advising companies with award-winning platforms to solve today's greatest challenges in life. She has served as Mentor and Professor-in-Residence at StartX, advising founders/companies from Stanford/Alumni. She is the Co-founder and Chairperson of HealthUnity Corporation, a 501(c)3 nonprofit organization. She served briefly at Accenture as a part-time Chief AI Follow for the Generative AI strategy. She also serves as an advisor to the United Nations Children's Fund (UNICEF). She is a board member of the Children's Discovery Museum of San Jose. She was selected as a World Economic Forum Young Global Leader, a recognition bestowed on 100 of the world’s most promising business leaders, artists, public servants, technologists, and social entrepreneurs in 2018. Before joining Google, She was the Head of Research at Snap, leading the AI/AR innovation effort. She received her Ph.D. degree from the Computer Science Department at Stanford University.

    Jia Li

    Co-Founder, Chief AI Officer & President
    LiveX AI

    Jia is Co-founder, Chief AI Officer and President of a Stealth Generative AI Startup. She is elected as IEEE Fellow for Leadership in Large Scale AI. She is co-teaching the inaugural course of Generative AI and Medicine at Stanford University, where she has served multiple roles including Advisory Board Committee to Nourish, Chief AI Fellow, RWE for Sleep Health and Adjunct Professor at the School of Medicine in the past. She was the Founding Head of R&D at Google Cloud AI. At Google, she oversaw the development of the full stack of AI products on Google Cloud to power solutions for diverse industries. With the passion to make more impact to our everyday life, she later became an entrepreneur, building and advising companies with award-winning platforms to solve today's greatest challenges in life. She has served as Mentor and Professor-in-Residence at StartX, advising founders/companies from Stanford/Alumni. She is the Co-founder and Chairperson of HealthUnity Corporation, a 501(c)3 nonprofit organization. She served briefly at Accenture as a part-time Chief AI Follow for the Generative AI strategy. She also serves as an advisor to the United Nations Children's Fund (UNICEF). She is a board member of the Children's Discovery Museum of San Jose. She was selected as a World Economic Forum Young Global Leader, a recognition bestowed on 100 of the world’s most promising business leaders, artists, public servants, technologists, and social entrepreneurs in 2018. Before joining Google, She was the Head of Research at Snap, leading the AI/AR innovation effort. She received her Ph.D. degree from the Computer Science Department at Stanford University.

  • Author:

    Vamsi Boppana

    SVP, AI
    AMD

    Vamsi Boppana is responsible for AMD’s AI strategy, driving the AI roadmap across the client, edge and cloud for AMD’s AI software stack and ecosystem efforts. Until 2022, he was Senior Vice President of the Central Products Group (CPG), responsible for developing and marketing Xilinx’s Adaptive and AI product portfolio. He also served as executive sponsor for the Xilinx integration into AMD. 

    At Xilinx, Boppana led the silicon development of leading products such as Versal™ and Zynq™ UltraScale™+ MPSoC. Before joining the company in 2008, he held engineering management roles at Open-Silicon and Zenasis Technologies, a company he co-founded. Boppana began his career at Fujitsu Laboratories. Caring deeply about the benefits of the technology he creates, Boppana aspires both to achieve commercial success and improve lives through the products he builds. 

    Vamsi Boppana

    SVP, AI
    AMD

    Vamsi Boppana is responsible for AMD’s AI strategy, driving the AI roadmap across the client, edge and cloud for AMD’s AI software stack and ecosystem efforts. Until 2022, he was Senior Vice President of the Central Products Group (CPG), responsible for developing and marketing Xilinx’s Adaptive and AI product portfolio. He also served as executive sponsor for the Xilinx integration into AMD. 

    At Xilinx, Boppana led the silicon development of leading products such as Versal™ and Zynq™ UltraScale™+ MPSoC. Before joining the company in 2008, he held engineering management roles at Open-Silicon and Zenasis Technologies, a company he co-founded. Boppana began his career at Fujitsu Laboratories. Caring deeply about the benefits of the technology he creates, Boppana aspires both to achieve commercial success and improve lives through the products he builds. 

  • Author:

    Thomas Andersen

    VP, AI and Machine Learning
    Synopsys

    Dr. Andersen heads the artificial intelligence and machine learning design group at Synopsys, where he focuses on developing new technologies in the AI and ML space to automate the future of chip design. He has more than 20 years of experience in the semiconductor and EDA industry. Dr. Andersen started his career at IBM’s TJ Watson Research Center in Yorktown Heights, New York, followed by managing synthesis/place-and-route engineering at Magma Design Automation and Synopsys. He holds a Master’s degree from the University of Stuttgart and a Ph.D. in Computer Engineering from the University of Kaiserslautern in Germany.

    Thomas Andersen

    VP, AI and Machine Learning
    Synopsys

    Dr. Andersen heads the artificial intelligence and machine learning design group at Synopsys, where he focuses on developing new technologies in the AI and ML space to automate the future of chip design. He has more than 20 years of experience in the semiconductor and EDA industry. Dr. Andersen started his career at IBM’s TJ Watson Research Center in Yorktown Heights, New York, followed by managing synthesis/place-and-route engineering at Magma Design Automation and Synopsys. He holds a Master’s degree from the University of Stuttgart and a Ph.D. in Computer Engineering from the University of Kaiserslautern in Germany.

  • Author:

    Lip-Bu Tan

    Chairman & Founder
    Walden International

    Mr. Lip-Bu Tan is a Co-Founder, Partner, Managing Director, and Chairman of Walden International. Mr. Tan serves as Executive Chairman of Cadence Design Systems Inc., and as Chairman on the Board of SambaNova Systems, Inc. Mr. Tan also serves on the Boards of Softbank and Schneider Electric. Until late 2021, Mr Tan served as Chief Executive Officer at Cadence Design Systems Inc. since January 2009, serving as its President from January 2009 to November 2017. Lip-Bu focuses on semiconductor/components, cloud/big data, artificial intelligence and machine learning. Lip-Bu holds a B.S. in Physics from Nanyang University in Singapore, a M.S. in Nuclear Engineering from Massachusetts Institute of Technology, and a M.B.A. from the University of San Francisco. 

    Lip-Bu Tan

    Chairman & Founder
    Walden International

    Mr. Lip-Bu Tan is a Co-Founder, Partner, Managing Director, and Chairman of Walden International. Mr. Tan serves as Executive Chairman of Cadence Design Systems Inc., and as Chairman on the Board of SambaNova Systems, Inc. Mr. Tan also serves on the Boards of Softbank and Schneider Electric. Until late 2021, Mr Tan served as Chief Executive Officer at Cadence Design Systems Inc. since January 2009, serving as its President from January 2009 to November 2017. Lip-Bu focuses on semiconductor/components, cloud/big data, artificial intelligence and machine learning. Lip-Bu holds a B.S. in Physics from Nanyang University in Singapore, a M.S. in Nuclear Engineering from Massachusetts Institute of Technology, and a M.B.A. from the University of San Francisco. 

  • Author:

    Luc Barthelet

    CTO
    Unity

    Luc Barthelet

    CTO
    Unity
  • Author:

    Raja Koduri

    Board Member
    Tenstorrent

    Raja Koduri

    Board Member
    Tenstorrent
  • Author:

    Animesh Singh

    Executive Director, AI & Machine Learning
    LinkedIn

    Executive Director, AI and ML Platform at LinkedIn | Ex IBM Senior Director and Distinguished Engineer, Watson AI and Data | Founder at Kubeflow | Ex LFAI Trusted AI NA Chair

    Animesh is the Executive Director leading the next generation AI and ML Platform at LinkedIn, enabling creation of AI Foundation Models Platform, serving the needs of 930+ Million members of LinkedIn. Building Distributed Training Platform, Machine Learning Pipelines, Feature Pipelines, Metadata engine etc. Leading the creation of LinkedIn GAI platform for fine tuning, experimentation and inference needs. Animesh has more than 20 patents, and 50+ publications. 

    Past IBM Watson AI and Data Open Tech CTO, Senior Director and Distinguished Engineer, with 20+ years experience in Software industry, and 15+ years in AI, Data and Cloud Platform. Led globally dispersed teams, managed globally distributed projects, and served as a trusted adviser to Fortune 500 firms. Played a leadership role in creating, designing and implementing Data and AI engines for AI and ML platforms, led Trusted AI efforts, drove the strategy and execution for Kubeflow, OpenDataHub and execution in products like Watson OpenScale and Watson Machines Learning.

    Animesh Singh

    Executive Director, AI & Machine Learning
    LinkedIn

    Executive Director, AI and ML Platform at LinkedIn | Ex IBM Senior Director and Distinguished Engineer, Watson AI and Data | Founder at Kubeflow | Ex LFAI Trusted AI NA Chair

    Animesh is the Executive Director leading the next generation AI and ML Platform at LinkedIn, enabling creation of AI Foundation Models Platform, serving the needs of 930+ Million members of LinkedIn. Building Distributed Training Platform, Machine Learning Pipelines, Feature Pipelines, Metadata engine etc. Leading the creation of LinkedIn GAI platform for fine tuning, experimentation and inference needs. Animesh has more than 20 patents, and 50+ publications. 

    Past IBM Watson AI and Data Open Tech CTO, Senior Director and Distinguished Engineer, with 20+ years experience in Software industry, and 15+ years in AI, Data and Cloud Platform. Led globally dispersed teams, managed globally distributed projects, and served as a trusted adviser to Fortune 500 firms. Played a leadership role in creating, designing and implementing Data and AI engines for AI and ML platforms, led Trusted AI efforts, drove the strategy and execution for Kubeflow, OpenDataHub and execution in products like Watson OpenScale and Watson Machines Learning.

  • Author:

    Sravanthi Rajanala

    Director, Machine Learning & Search
    Walmart Tech

    Sravanthi Rajanala is the Director of Data Science and Machine Learning in Walmart's Search Technologies. She began her career in telecom and worked for Microsoft and Nokia before joining Bing Search in 2011 to work in machine learning and search. Sravanthi has led initiatives in query and document understanding, ranking, and question answering. In 2021, she joined Walmart and now leads the Search Core Algorithms, Machine Translation, and Metrics Science. Sravanthi holds a Master's degree in Computational Science from the Indian Institute of Science and a Bachelor's degree in Computer Science from Osmania University.

    Sravanthi Rajanala

    Director, Machine Learning & Search
    Walmart Tech

    Sravanthi Rajanala is the Director of Data Science and Machine Learning in Walmart's Search Technologies. She began her career in telecom and worked for Microsoft and Nokia before joining Bing Search in 2011 to work in machine learning and search. Sravanthi has led initiatives in query and document understanding, ranking, and question answering. In 2021, she joined Walmart and now leads the Search Core Algorithms, Machine Translation, and Metrics Science. Sravanthi holds a Master's degree in Computational Science from the Indian Institute of Science and a Bachelor's degree in Computer Science from Osmania University.

  • Author:

    Zairah Mustahsan

    Senior Data Scientist
    You.com

    Zairah Mustahsan is a Sr. Data Scientist at You.com, an AI chatbot for search, where she leverages her expertise in statistical and machine-learning techniques to build analytics and experimentation platforms. Previously, Zairah was a Data Scientist at IBM Research, researching Natural Language Processing (NLP) and AI Fairness topics. Zairah obtained her M.S. in Computer Science from the University of Pennsylvania, where she researched scikit-learn model performance. Her findings have since been used as guidelines for machine learning. Zairah is a regular speaker at AI conferences such as NeurIPS, AI4, and ODSC. Zairah has published her work in top AI conferences such AAAI and has over 300 citations. Aside from work, Zairah enjoys adventure sports and poetry.

    Zairah Mustahsan

    Senior Data Scientist
    You.com

    Zairah Mustahsan is a Sr. Data Scientist at You.com, an AI chatbot for search, where she leverages her expertise in statistical and machine-learning techniques to build analytics and experimentation platforms. Previously, Zairah was a Data Scientist at IBM Research, researching Natural Language Processing (NLP) and AI Fairness topics. Zairah obtained her M.S. in Computer Science from the University of Pennsylvania, where she researched scikit-learn model performance. Her findings have since been used as guidelines for machine learning. Zairah is a regular speaker at AI conferences such as NeurIPS, AI4, and ODSC. Zairah has published her work in top AI conferences such AAAI and has over 300 citations. Aside from work, Zairah enjoys adventure sports and poetry.

  • Author:

    Nikhil Gulati

    VP, Engineering & Product Strategy
    Baker Hughes

    Nikhil Gulati

    VP, Engineering & Product Strategy
    Baker Hughes
  • Author:

    Vinesh Sukumar

    Senior Director & Head of AI/ML Product Management
    Qualcomm

    Vinesh Sukumar currently serves as Senior Director – Head of AI/ML product management at Qualcomm Technologies, Inc (QTI).  In this role, he leads AI product definition, strategy and solution deployment across multiple business units.

    •He has about 20 years of industry experience spread across research, engineering and application deployment. He currently holds a doctorate degree specializing in imaging and vision systems while also completing a business degree focused on strategy and marketing. He is a regular speaker in many AI industry forums and has authored several journal papers and two technical books.

    Vinesh Sukumar

    Senior Director & Head of AI/ML Product Management
    Qualcomm

    Vinesh Sukumar currently serves as Senior Director – Head of AI/ML product management at Qualcomm Technologies, Inc (QTI).  In this role, he leads AI product definition, strategy and solution deployment across multiple business units.

    •He has about 20 years of industry experience spread across research, engineering and application deployment. He currently holds a doctorate degree specializing in imaging and vision systems while also completing a business degree focused on strategy and marketing. He is a regular speaker in many AI industry forums and has authored several journal papers and two technical books.

  • Author:

    Suqiang Song

    Engineering Director, Data Platform & ML Infrastructure
    Airbnb

    As engineering director, Suqiang leads multiple teams of ML infrastructure engineers, driving machine learning platforms and infrastructure solutions for all product and engineering teams in Airbnb.

    As a senior AI leader, he works closely with senior partners in product and engineering to shape Airbnb’s vision in AI and ML, streamline innovations, and ensure Airbnb has a complete set of AI infrastructure that meets long-term needs.

    Previously, Suqiang served as Vice President, Data Platforms and Engineering Services at Mastercard, as one of the Data / AI commit board members to identify strategies and directions for Data Enablement, Data and ML platforms across multiple product lines and multiple deployment infrastructures. He has led worldwide engineering teams of data engineers, Machine Learning engineers, and data analysts to build unified data and ML platforms both on-premise and on-cloud for Mastercard

    Suqiang Song

    Engineering Director, Data Platform & ML Infrastructure
    Airbnb

    As engineering director, Suqiang leads multiple teams of ML infrastructure engineers, driving machine learning platforms and infrastructure solutions for all product and engineering teams in Airbnb.

    As a senior AI leader, he works closely with senior partners in product and engineering to shape Airbnb’s vision in AI and ML, streamline innovations, and ensure Airbnb has a complete set of AI infrastructure that meets long-term needs.

    Previously, Suqiang served as Vice President, Data Platforms and Engineering Services at Mastercard, as one of the Data / AI commit board members to identify strategies and directions for Data Enablement, Data and ML platforms across multiple product lines and multiple deployment infrastructures. He has led worldwide engineering teams of data engineers, Machine Learning engineers, and data analysts to build unified data and ML platforms both on-premise and on-cloud for Mastercard

  • Author:

    Selcuk Kopru

    Director, Engineering & Research, Search
    eBay

    Selcuk Kopru is Head of ML & NLP at eBay and is an experienced AI leader with proven expertise in creating and deploying cutting edge NLP and AI technologies and systems. He is experienced in developing scalable Machine Learning solutions to solve big data problems that involve text and multimodal data. He is also skilled in Python, Java, C++, Machine Translation and Pattern Recognition. Selcuk is also a strong research professional with a Doctor of Philosophy (PhD) in NLP in Computer Science from Middle East Technical University.

    Selcuk Kopru

    Director, Engineering & Research, Search
    eBay

    Selcuk Kopru is Head of ML & NLP at eBay and is an experienced AI leader with proven expertise in creating and deploying cutting edge NLP and AI technologies and systems. He is experienced in developing scalable Machine Learning solutions to solve big data problems that involve text and multimodal data. He is also skilled in Python, Java, C++, Machine Translation and Pattern Recognition. Selcuk is also a strong research professional with a Doctor of Philosophy (PhD) in NLP in Computer Science from Middle East Technical University.

  • Author:

    Soojung Ryu

    CEO
    SAPEON

    As a well-known expert in AI processors, Soojung Ryu is in charge of SAPEON in order to accelerate the company’s growth in the global AI market. She brings more than 25 years of extensive experience in leading various projects related to NPU and GPU.

    Before she joined SK Telecom as the head of the AI accelerator office, Ryu was a University-Industry Collaboration Professor at Seoul National University, where she conducted R&D in the NPU and PIM. When she served as the Vice President of Samsung Group's R&D hub, she undertook diverse projects related to GPU. Ryu received her Ph.D. degree in Electrical & Computer Engineering from Georgia Institute of Technology.

    Soojung Ryu

    CEO
    SAPEON

    As a well-known expert in AI processors, Soojung Ryu is in charge of SAPEON in order to accelerate the company’s growth in the global AI market. She brings more than 25 years of extensive experience in leading various projects related to NPU and GPU.

    Before she joined SK Telecom as the head of the AI accelerator office, Ryu was a University-Industry Collaboration Professor at Seoul National University, where she conducted R&D in the NPU and PIM. When she served as the Vice President of Samsung Group's R&D hub, she undertook diverse projects related to GPU. Ryu received her Ph.D. degree in Electrical & Computer Engineering from Georgia Institute of Technology.

  • Author:

    Karl Freund

    Founder & Principal Analyst
    Cambrian AI Research

    Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.

     

    Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.

    Accomplishments during his career include:

    • Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
    • Created an industry-wide thought leadership position for Calxeda in the ARM Server market
    • Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
    • Built the IBM Power Server brand from 14% market share to over 50% share
    • Integrated the Tivoli brand into the IBM company’s branding and marketing organization
    • Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition

     

    Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).

     

    Karl Freund

    Founder & Principal Analyst
    Cambrian AI Research

    Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.

     

    Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.

    Accomplishments during his career include:

    • Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
    • Created an industry-wide thought leadership position for Calxeda in the ARM Server market
    • Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
    • Built the IBM Power Server brand from 14% market share to over 50% share
    • Integrated the Tivoli brand into the IBM company’s branding and marketing organization
    • Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition

     

    Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).

     

  • Author:

    Prasad Saripalli

    Distinguished Engineer
    Capital One

    Prasad Saripalli serves as a Distinguished Engineer at Capital One, a technology driven bank on the Fortune 100 list, redefining Fintech and Banking using data, technology, AI and ML in unprecedented ways. Most recently, Prasad served as the Vice President of AIML and Distinguished Engineer at MindBody Inc - a portfolio company of Vista which manages the world's fourth-largest enterprise software company after Microsoft, Oracle, and SAP. Earlier, he served as VP Data Science at Edifecs, an industry premier healthcare information technology partnership platform and software provider, building Smart Decisions ML & AI Platform with Ml Apps Front. Prior to this, Prasad served as CTO and VP Engineering at Secrata.com, provider of Military grade Security and Privacy solutions developed and deployed over the past 15 years at Topia Technology for the Federal Government and the Enterprise, and as CTO & EVP at ClipCard, a SaaS based Hierarchical Analytics and Visualization platform.

    At IBM, Prasad served as the Chief Architect for IBM's SmartCloud Enterprise (http://www.ibm.com/cloud-computing/us/en/). At Runaware, he served as the Vice President of Product Development. As a Principal Group Manager at Microsoft, Prasad co-led the development of virtualization stack on Windows 7 responsible for shipping Virtual PC7 and Windows XP Mode on Windows 7.


    Prasad teaches Machine Learning, AI, NLP, Distributed Systems, Cloud Engineering and Robotics at Northeastern University and the University of Washington Continuum College.

    Prasad Saripalli

    Distinguished Engineer
    Capital One

    Prasad Saripalli serves as a Distinguished Engineer at Capital One, a technology driven bank on the Fortune 100 list, redefining Fintech and Banking using data, technology, AI and ML in unprecedented ways. Most recently, Prasad served as the Vice President of AIML and Distinguished Engineer at MindBody Inc - a portfolio company of Vista which manages the world's fourth-largest enterprise software company after Microsoft, Oracle, and SAP. Earlier, he served as VP Data Science at Edifecs, an industry premier healthcare information technology partnership platform and software provider, building Smart Decisions ML & AI Platform with Ml Apps Front. Prior to this, Prasad served as CTO and VP Engineering at Secrata.com, provider of Military grade Security and Privacy solutions developed and deployed over the past 15 years at Topia Technology for the Federal Government and the Enterprise, and as CTO & EVP at ClipCard, a SaaS based Hierarchical Analytics and Visualization platform.

    At IBM, Prasad served as the Chief Architect for IBM's SmartCloud Enterprise (http://www.ibm.com/cloud-computing/us/en/). At Runaware, he served as the Vice President of Product Development. As a Principal Group Manager at Microsoft, Prasad co-led the development of virtualization stack on Windows 7 responsible for shipping Virtual PC7 and Windows XP Mode on Windows 7.


    Prasad teaches Machine Learning, AI, NLP, Distributed Systems, Cloud Engineering and Robotics at Northeastern University and the University of Washington Continuum College.

  • Author:

    Cheng Wang

    Co-Founder & SVP, Architecture & Engineering
    Flex Logix

    Originally from Shanghai, PRC.  Cheng has led the architecture, silicon implementation and software development for eFPGA over multiple generations from 180nm-16nm and now AI inferencing development at Flex Logix. Two years as VLSI designer at Zoran. BSEECS, UC Berkeley.  MSEE, EE PhD UCLA: designed 5 FPGA chips from 90nm to 40nm. 2013 Distinguished PhD Dissertation Award. 2014 ISSCC Lewis Winner Award for Outstanding Paper. Multiple patents at UCLA and Flex Logix.

    Cheng Wang

    Co-Founder & SVP, Architecture & Engineering
    Flex Logix

    Originally from Shanghai, PRC.  Cheng has led the architecture, silicon implementation and software development for eFPGA over multiple generations from 180nm-16nm and now AI inferencing development at Flex Logix. Two years as VLSI designer at Zoran. BSEECS, UC Berkeley.  MSEE, EE PhD UCLA: designed 5 FPGA chips from 90nm to 40nm. 2013 Distinguished PhD Dissertation Award. 2014 ISSCC Lewis Winner Award for Outstanding Paper. Multiple patents at UCLA and Flex Logix.

  • Author:

    Sriraman Chari

    Fellow & Head of AI Accelerator IP Solution
    Cadence Design Systems

    Sriraman Chari

    Fellow & Head of AI Accelerator IP Solution
    Cadence Design Systems
  • Author:

    Alam Akbar

    Director, Product Marketing
    proteanTecs

    Alam Akbar is a veteran of the semiconductor industry with experience spanning multiple engineering, product management, and product marketing roles. He holds a Bachelors of Science degree in Electrical Engineering from Texas A&M,  and an MBA from Santa Clara University.

     

    Alam began his career at Synopsys as an Application Consultant where he helped grow their market share in the signoff domain. He then joined the business management team at Cadence where he helped launch a new physical verification solution. After Cadence, Alam joined  Intel Foundry services as a design kit program manager, and then moved into the client compute group as director of product marketing. There, he helped scale Intel's storage business, and developed product strategy for new memory solutions for the PC market.

    At ProteanTecs, he's part of a team that’s bringing greater insight into the health and performance of semiconductors across the value chain, from the design stage to in field operation, and all the steps in the middle. 

    Alam Akbar

    Director, Product Marketing
    proteanTecs

    Alam Akbar is a veteran of the semiconductor industry with experience spanning multiple engineering, product management, and product marketing roles. He holds a Bachelors of Science degree in Electrical Engineering from Texas A&M,  and an MBA from Santa Clara University.

     

    Alam began his career at Synopsys as an Application Consultant where he helped grow their market share in the signoff domain. He then joined the business management team at Cadence where he helped launch a new physical verification solution. After Cadence, Alam joined  Intel Foundry services as a design kit program manager, and then moved into the client compute group as director of product marketing. There, he helped scale Intel's storage business, and developed product strategy for new memory solutions for the PC market.

    At ProteanTecs, he's part of a team that’s bringing greater insight into the health and performance of semiconductors across the value chain, from the design stage to in field operation, and all the steps in the middle. 

  • Author:

    Gopal Hegde

    SVP, Engineering & Operations
    SiMa.ai

    Gopal Hegde

    SVP, Engineering & Operations
    SiMa.ai
  • Author:

    Krishna Rangasayee

    Founder & CEO
    SiMa.ai

    Krishna is founder and CEO of SiMa.ai™, a machine learning company enabling effortless ML for the Embedded Edge.

    Previously, he was the COO of Groq, a machine learning startup. He was with Xilinx for 18 years, where he was Senior Vice President and GM of Xilinx’s overall business prior to his most recent role as Executive Vice President, Global Sales. Prior to Xilinx, he held various engineering and business roles at Altera Corporation and Cypress Semiconductor. He holds 25+ international patents. He has also served on the board of directors of public and private companies.

    Krishna Rangasayee

    Founder & CEO
    SiMa.ai

    Krishna is founder and CEO of SiMa.ai™, a machine learning company enabling effortless ML for the Embedded Edge.

    Previously, he was the COO of Groq, a machine learning startup. He was with Xilinx for 18 years, where he was Senior Vice President and GM of Xilinx’s overall business prior to his most recent role as Executive Vice President, Global Sales. Prior to Xilinx, he held various engineering and business roles at Altera Corporation and Cypress Semiconductor. He holds 25+ international patents. He has also served on the board of directors of public and private companies.

  • Author:

    Sally Ward-Foxton

    Senior Reporter
    EETimes

    Sally Ward-Foxton has been writing about the electronics industry for more than a decade. As a freelance journalist she has published articles in EE Times, Electronic Design Europe, Microwaves & RF, ECN, Electronic Specifier: Design, IoT Embedded Systems, Electropages, Components in Electronics and many more. She also supplies technical writing and ghostwriting services to several of Europe's leading PR agencies. She holds a Masters' degree in Electrical and Electronic Engineering from the University of Cambridge, UK.

    Sally Ward-Foxton

    Senior Reporter
    EETimes

    Sally Ward-Foxton has been writing about the electronics industry for more than a decade. As a freelance journalist she has published articles in EE Times, Electronic Design Europe, Microwaves & RF, ECN, Electronic Specifier: Design, IoT Embedded Systems, Electropages, Components in Electronics and many more. She also supplies technical writing and ghostwriting services to several of Europe's leading PR agencies. She holds a Masters' degree in Electrical and Electronic Engineering from the University of Cambridge, UK.

  • Author:

    Ankur Gupta

    VP & GM, Tessent
    Siemens EDA

    Ankur Gupta is vice president and general manager of Tessent Silicon Lifecycle Solutions business unit for Siemens EDA. He and his global team are responsible for developing and marketing best-in-class DFT and Lifecycle solutions for the Semiconductor industry.

    Ankur brings 20+ years of experience in Digital design, implementation and signoff. He oversaw the first five deployments of Innovus to the market, while at Cadence. Later, at Ansys, he oversaw the launch and deployment of RedHawk-SC, a market leader in power-grid signoff.

    Ankur Gupta

    VP & GM, Tessent
    Siemens EDA

    Ankur Gupta is vice president and general manager of Tessent Silicon Lifecycle Solutions business unit for Siemens EDA. He and his global team are responsible for developing and marketing best-in-class DFT and Lifecycle solutions for the Semiconductor industry.

    Ankur brings 20+ years of experience in Digital design, implementation and signoff. He oversaw the first five deployments of Innovus to the market, while at Cadence. Later, at Ansys, he oversaw the launch and deployment of RedHawk-SC, a market leader in power-grid signoff.

  • Author:

    Mo Movahed

    GM, CSD Division
    Siemens Digital Industry Software

    MO Movahed is the GM for CSD division at Siemens, responsible for High-Level Synthesis and Verification, Low-Power Solutions and FPGA Synthesis.

    MO has more than 35 years of products and business experience with broad background and expertise in design verification & implementation tools and methodology. Prior to joining Siemens EDA, he held various VP positions at Synopsys where he led Digital Verification products & business including VCS, VC Static, SpyGlass, VC Formal & Emulation Power in Verification BU, and StarRC, PrimePower Gate and RTL, and PrimeECO products in Digital Implementation BU.

    Prior to Synopsys, Mo was SVP at Atrenta and led innovation of industry leading SpyGlass products & solutions and was heavily involved with the growth of Atrenta from both customer & business perspective resulting in successful acquisition by Synopsys in 2015.  MO has held leadership positions at Lattice Semi, Cadence, and Xerox Research Lab and holds 15+ US Patents. 

    Mo Movahed

    GM, CSD Division
    Siemens Digital Industry Software

    MO Movahed is the GM for CSD division at Siemens, responsible for High-Level Synthesis and Verification, Low-Power Solutions and FPGA Synthesis.

    MO has more than 35 years of products and business experience with broad background and expertise in design verification & implementation tools and methodology. Prior to joining Siemens EDA, he held various VP positions at Synopsys where he led Digital Verification products & business including VCS, VC Static, SpyGlass, VC Formal & Emulation Power in Verification BU, and StarRC, PrimePower Gate and RTL, and PrimeECO products in Digital Implementation BU.

    Prior to Synopsys, Mo was SVP at Atrenta and led innovation of industry leading SpyGlass products & solutions and was heavily involved with the growth of Atrenta from both customer & business perspective resulting in successful acquisition by Synopsys in 2015.  MO has held leadership positions at Lattice Semi, Cadence, and Xerox Research Lab and holds 15+ US Patents. 

  • Author:

    Sree Ganesan

    Head of Software Products
    Habana Labs

    Sree Ganesan leads Software Product Management at Habana Labs, working alongside a diverse global team to deliver state-of-the-art deep learning capabilities of the Habana SynapseAI® software suite to the market. Previously, she was Engineering Director in Intel’s AI Products Group, where she was responsible for AI software strategy and deep learning framework integration for Nervana NNP AI accelerators.  Ms. Ganesan joined Intel in 2001 and has held a variety of technical and management roles in software engineering, VLSI CAD and SOC design methodology. Ms. Ganesan received a bachelor’s degree in electrical engineering from the Indian Institute of Technology Madras, India and a PhD in computer engineering from the University of Cincinnati, Ohio.

    Sree Ganesan

    Head of Software Products
    Habana Labs

    Sree Ganesan leads Software Product Management at Habana Labs, working alongside a diverse global team to deliver state-of-the-art deep learning capabilities of the Habana SynapseAI® software suite to the market. Previously, she was Engineering Director in Intel’s AI Products Group, where she was responsible for AI software strategy and deep learning framework integration for Nervana NNP AI accelerators.  Ms. Ganesan joined Intel in 2001 and has held a variety of technical and management roles in software engineering, VLSI CAD and SOC design methodology. Ms. Ganesan received a bachelor’s degree in electrical engineering from the Indian Institute of Technology Madras, India and a PhD in computer engineering from the University of Cincinnati, Ohio.

  • Author:

    Sakyasingha Dasgupta

    Founder & CEO
    EdgeCortix

    Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.

    After spending more than a decade in research and development in diverse areas like, brain inspired computing, robotics, computer vision, hardware acceleration for AI, wearable devices, internet of things, machine learning in finance and healthcare, Sakya founded EdgeCortix, a deep-tech startup automating machine learning driven AI hardware & software co-design for an intelligent distributed edge ecosystem.

    Sakyasingha recently took part in a webinar titled "Software, The Elephant in the Room for Edge AI Hardware Acceleration" - register for free to watch on-demand here

    Sakyasingha Dasgupta

    Founder & CEO
    EdgeCortix

    Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.

    After spending more than a decade in research and development in diverse areas like, brain inspired computing, robotics, computer vision, hardware acceleration for AI, wearable devices, internet of things, machine learning in finance and healthcare, Sakya founded EdgeCortix, a deep-tech startup automating machine learning driven AI hardware & software co-design for an intelligent distributed edge ecosystem.

    Sakyasingha recently took part in a webinar titled "Software, The Elephant in the Room for Edge AI Hardware Acceleration" - register for free to watch on-demand here

  • Author:

    Martin Ruskowski

    Chairman, Department of Machine Tools and Control Systems
    RPTU Kaiserslautern-Landau

    Professor Dr. Martin Ruskowski took over the position as Head of the renamed Institute of Machine Tools and System Controls (WSKL) on June 1, 2017. His major research focus is on industrial robots as machine tools, artificial intelligence in automation technology, and the development of innovative control concepts for automation.

    All equipment and machinery in the factories of tomorrow will be networked: Machines will have the ability to communicate and exchange data among themselves. Robots will continue to play an ever greater role in the world of Industrie 4.0. In the future, they may even replace traditional machine tools is some application situations, for example, in the milling of special components. "A priority of my work at TU Kaiserslautern and DFKI will be to improve the fitness of robots for demanding mechanical processing tasks. The new technologies that result from our research will provide more flexibility to companies and, ultimately, serve as a jobs motor in Germany," said Ruskowski in describing his new responsibilities.

    Ruskowski is an expert in the fields of robotics and Industry 4.0. At DFKI and RPTU, his aim will be to develop solutions for the digitalization of production plants while also working on new control systems and robot mechanics to increase the efficiency of future generations of industrial robots. He will also study the question of how to make self-optimizing machines. A major focus is on Human-Machine Interaction in automated production plants. "In the context of the digitalization of production, we need new engineering techniques that will allow humans to more closely integrate the production processes," he added. "We can achieve this in cooperation with Technologie-Initiative SmartFactory KL e.V." This unique research lab located at DFKI provides ideal conditions for the practical evaluation of ambitious research projects.In addition, Ruskowski will hold a series of lectures at the department of Mechanical and Process Engineering on the subjects of machine tools and industrial robotics.

    He studied electrical engineering at Leibniz University Hannover and also received his doctorate in mechanical engineering there. His doctoral thesis was a study of the dynamics of machine tools and the use active magnet guides for damping vibrations. Prior to his relocation to Kaiserslautern, Ruskowski held several management positions at industrial firms, most recently since 2015 as Vice President for Global Research and Development at KUKA Industries.

     

    Martin Ruskowski

    Chairman, Department of Machine Tools and Control Systems
    RPTU Kaiserslautern-Landau

    Professor Dr. Martin Ruskowski took over the position as Head of the renamed Institute of Machine Tools and System Controls (WSKL) on June 1, 2017. His major research focus is on industrial robots as machine tools, artificial intelligence in automation technology, and the development of innovative control concepts for automation.

    All equipment and machinery in the factories of tomorrow will be networked: Machines will have the ability to communicate and exchange data among themselves. Robots will continue to play an ever greater role in the world of Industrie 4.0. In the future, they may even replace traditional machine tools is some application situations, for example, in the milling of special components. "A priority of my work at TU Kaiserslautern and DFKI will be to improve the fitness of robots for demanding mechanical processing tasks. The new technologies that result from our research will provide more flexibility to companies and, ultimately, serve as a jobs motor in Germany," said Ruskowski in describing his new responsibilities.

    Ruskowski is an expert in the fields of robotics and Industry 4.0. At DFKI and RPTU, his aim will be to develop solutions for the digitalization of production plants while also working on new control systems and robot mechanics to increase the efficiency of future generations of industrial robots. He will also study the question of how to make self-optimizing machines. A major focus is on Human-Machine Interaction in automated production plants. "In the context of the digitalization of production, we need new engineering techniques that will allow humans to more closely integrate the production processes," he added. "We can achieve this in cooperation with Technologie-Initiative SmartFactory KL e.V." This unique research lab located at DFKI provides ideal conditions for the practical evaluation of ambitious research projects.In addition, Ruskowski will hold a series of lectures at the department of Mechanical and Process Engineering on the subjects of machine tools and industrial robotics.

    He studied electrical engineering at Leibniz University Hannover and also received his doctorate in mechanical engineering there. His doctoral thesis was a study of the dynamics of machine tools and the use active magnet guides for damping vibrations. Prior to his relocation to Kaiserslautern, Ruskowski held several management positions at industrial firms, most recently since 2015 as Vice President for Global Research and Development at KUKA Industries.

     

  • Author:

    Tatjana Legler

    Deputy Head of Department
    RPTU Kaiserslautern-Landau

    Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on "Optimization of automated visual inspection of common rails using neural networks". She has been working at the Department of Machine Tools and Control Systems since November 2017.

    Research Fields

    Tatjana Legler deals with the use of artificial intelligence in the production environment. This includes, for example, the analysis of process data for the prediction of product quality and federated learning.

    Tatjana Legler

    Deputy Head of Department
    RPTU Kaiserslautern-Landau

    Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on "Optimization of automated visual inspection of common rails using neural networks". She has been working at the Department of Machine Tools and Control Systems since November 2017.

    Research Fields

    Tatjana Legler deals with the use of artificial intelligence in the production environment. This includes, for example, the analysis of process data for the prediction of product quality and federated learning.

  • Author:

    Wayne Wang

    Founder & CEO
    Moffett AI

    Wayne Wang is the Founder & CEO of Moffett AI, and is an expert in digital-analog hybrid circuits in Silicon Valley with 15 years of experience. His main experience is as a CPU high-speed link architect.

    He has several years of experience in semiconductor entrepreneurship in Silicon Valley. He used to be the core architect of Intel and Qualcomm, and participated in the development of five generations of Intel CPU processors, with a cumulative mass production of over 5 billion pieces.

    Wayne Wang

    Founder & CEO
    Moffett AI

    Wayne Wang is the Founder & CEO of Moffett AI, and is an expert in digital-analog hybrid circuits in Silicon Valley with 15 years of experience. His main experience is as a CPU high-speed link architect.

    He has several years of experience in semiconductor entrepreneurship in Silicon Valley. He used to be the core architect of Intel and Qualcomm, and participated in the development of five generations of Intel CPU processors, with a cumulative mass production of over 5 billion pieces.

  • Author:

    Fausto Artico

    Head of Innovation and Data Science
    GSK

    Fausto has two PhDs (Information & Computer Science respectively), earning his second master’s and PhD at the University of California, Irvine. Fausto also holds multiple certifications from MIT, Columbia University, London School of Economics and Political Science, Kellogg School of Management, University of Cambridge and soon also from the University of California, Berkeley. He has worked in multi-disciplinary teams and has over 20 years of experience in academia and industry.

    As a Physicist, Mathematician, Engineer, Computer Scientist, and High-Performance Computing (HPC) and Data Science expert, Fausto has worked on key projects at European and American government institutions and with key individuals, like Nobel Prize winner Michael J. Prather. After his time at NVIDIA corporation in Silicon Valley, Fausto worked at the IBM T J Watson Center in New York on Exascale Supercomputing Systems for the US government (e.g., Livermore and Oak Ridge Labs).

    Fausto Artico

    Head of Innovation and Data Science
    GSK

    Fausto has two PhDs (Information & Computer Science respectively), earning his second master’s and PhD at the University of California, Irvine. Fausto also holds multiple certifications from MIT, Columbia University, London School of Economics and Political Science, Kellogg School of Management, University of Cambridge and soon also from the University of California, Berkeley. He has worked in multi-disciplinary teams and has over 20 years of experience in academia and industry.

    As a Physicist, Mathematician, Engineer, Computer Scientist, and High-Performance Computing (HPC) and Data Science expert, Fausto has worked on key projects at European and American government institutions and with key individuals, like Nobel Prize winner Michael J. Prather. After his time at NVIDIA corporation in Silicon Valley, Fausto worked at the IBM T J Watson Center in New York on Exascale Supercomputing Systems for the US government (e.g., Livermore and Oak Ridge Labs).

  • Author:

    Matthew Burns

    Technical Marketing Manager
    Samtec

    Matthew Burns develops go-to-market strategies for Samtec’s Silicon-to-Silicon solutions. Over the course of 20+ years, he has been a leader in design, applications engineering, technical sales and marketing in the telecommunications, medical and electronic components industries. Mr. Burns holds a B.S. in Electrical Engineering from Penn State University.

    Matthew Burns

    Technical Marketing Manager
    Samtec

    Matthew Burns develops go-to-market strategies for Samtec’s Silicon-to-Silicon solutions. Over the course of 20+ years, he has been a leader in design, applications engineering, technical sales and marketing in the telecommunications, medical and electronic components industries. Mr. Burns holds a B.S. in Electrical Engineering from Penn State University.

  • Author:

    Akhil Vaid

    Instructor, Division of Data-Driven and Digital Medicine
    Icahn School of Medicine Mt. Sinai

    Akhil Vaid, MD, is a distinguished Instructor at the Division of Data Driven and Digital Medicine (D3M), Department of Medicine at the Icahn School of Medicine at Mount Sinai. Renowned for his expertise as a physician-scientist, Dr. Vaid's work navigates the intriguing intersection of medicine and technology, with a resolute commitment to foster democratized healthcare through the power of machine learning.

     

    After obtaining his medical degree from one of India's eminent medical colleges, Dr. Vaid served patients across diverse socio-economic landscapes. This unique exposure catalyzed his conviction that true healthcare equity could only be achieved through machine learning and artificial intelligence. Consequently, he ventured into the intricate domains of multi-modal machine learning, specializing in deep learning with ECGs, federated learning, Natural Language Processing, and deriving valuable insights from the Electronic Healthcare Record.

     

    Before his current role at the Icahn School of Medicine at Mount Sinai, Dr. Vaid honed his clinical skills and amassed a wealth of experience in the Indian healthcare system. His medical journey is punctuated by his relentless quest for innovation, illustrated by his extensive contributions to the rapidly evolving field of digital medicine.

     

    Dr. Vaid is the author of 54 scientific publications, esteemed contributions to esteemed medical journals, including Nature Medicine, the Annals of Internal Medicine, and NPJ Digital Medicine. His work is reflective of his profound understanding of medicine and technology and their potential in transforming patient care. His projects, backed by significant grants, encompass multiple facets of informatics, data science, and machine learning in medicine.

    Akhil Vaid

    Instructor, Division of Data-Driven and Digital Medicine
    Icahn School of Medicine Mt. Sinai

    Akhil Vaid, MD, is a distinguished Instructor at the Division of Data Driven and Digital Medicine (D3M), Department of Medicine at the Icahn School of Medicine at Mount Sinai. Renowned for his expertise as a physician-scientist, Dr. Vaid's work navigates the intriguing intersection of medicine and technology, with a resolute commitment to foster democratized healthcare through the power of machine learning.

     

    After obtaining his medical degree from one of India's eminent medical colleges, Dr. Vaid served patients across diverse socio-economic landscapes. This unique exposure catalyzed his conviction that true healthcare equity could only be achieved through machine learning and artificial intelligence. Consequently, he ventured into the intricate domains of multi-modal machine learning, specializing in deep learning with ECGs, federated learning, Natural Language Processing, and deriving valuable insights from the Electronic Healthcare Record.

     

    Before his current role at the Icahn School of Medicine at Mount Sinai, Dr. Vaid honed his clinical skills and amassed a wealth of experience in the Indian healthcare system. His medical journey is punctuated by his relentless quest for innovation, illustrated by his extensive contributions to the rapidly evolving field of digital medicine.

     

    Dr. Vaid is the author of 54 scientific publications, esteemed contributions to esteemed medical journals, including Nature Medicine, the Annals of Internal Medicine, and NPJ Digital Medicine. His work is reflective of his profound understanding of medicine and technology and their potential in transforming patient care. His projects, backed by significant grants, encompass multiple facets of informatics, data science, and machine learning in medicine.

  • Author:

    Becky Soltanian

    VP, Research & Development
    Sanborn

    Dr. Soltanian’s career in the field of AI has been extensive. With a global reach, her endeavors in AI, engineering, and academia span over 20 years. Her background includes a considerable amount of hands-on experience in a variety of roles in automation, AI, robotics, and computer vision. Most recently, Dr. Soltanian worked as a principal artificial intelligence and machine learning engineer, developing algorithms that improved perception and localization. She has also held leadership and management positions where she successfully directed teams in developing and applying advanced technologies in the use of lidar and other data types.

    Dr. Soltanian holds a PhD in Electrical, Electronics and Communications Engineering; a Master of Technology in Digital Signal Processing; and a Bachelor of Science in Electrical Engineering. She’s worked for a variety of different companies such as Byton, Daqri and Velodyne Lidar, and has six (6) patents in the field of Autonomous Driving and automation.

    Becky Soltanian

    VP, Research & Development
    Sanborn

    Dr. Soltanian’s career in the field of AI has been extensive. With a global reach, her endeavors in AI, engineering, and academia span over 20 years. Her background includes a considerable amount of hands-on experience in a variety of roles in automation, AI, robotics, and computer vision. Most recently, Dr. Soltanian worked as a principal artificial intelligence and machine learning engineer, developing algorithms that improved perception and localization. She has also held leadership and management positions where she successfully directed teams in developing and applying advanced technologies in the use of lidar and other data types.

    Dr. Soltanian holds a PhD in Electrical, Electronics and Communications Engineering; a Master of Technology in Digital Signal Processing; and a Bachelor of Science in Electrical Engineering. She’s worked for a variety of different companies such as Byton, Daqri and Velodyne Lidar, and has six (6) patents in the field of Autonomous Driving and automation.

  • Author:

    Eugenio Zuccarrelli

    Manager, Data Science
    CVS Health

    Eugenio is a Business-Focused Data Science Leader, leading the innovation efforts for several Fortune 500 companies across multiple industries, including Healthcare (CVS Health), Automotive (BMW) and Finance (Morningstar).

    He is a Forbes 30 Under 30, a Fulbright Scholarship recipient and studied across MIT, Harvard and Imperial College London. Currently, he leads the innovation efforts for complex chronic care at CVS Health, the #1 Healthcare company in the world and a Fortune 5 firm.

    In addition, he has been working in the Task Force using analytics to fight COVID-19 and develop policy recommendations for The White House and overall finding solutions to fight the COVID-19 pandemic. You can find Eugenio's work across Forbes, The Washington Post, Bloomberg and Financial Times as well as multiple journals and in the App Store.

    When he is not working, Eugenio enjoys contemporary art as well as playing Tennis with friends and traveling.

    Eugenio Zuccarrelli

    Manager, Data Science
    CVS Health

    Eugenio is a Business-Focused Data Science Leader, leading the innovation efforts for several Fortune 500 companies across multiple industries, including Healthcare (CVS Health), Automotive (BMW) and Finance (Morningstar).

    He is a Forbes 30 Under 30, a Fulbright Scholarship recipient and studied across MIT, Harvard and Imperial College London. Currently, he leads the innovation efforts for complex chronic care at CVS Health, the #1 Healthcare company in the world and a Fortune 5 firm.

    In addition, he has been working in the Task Force using analytics to fight COVID-19 and develop policy recommendations for The White House and overall finding solutions to fight the COVID-19 pandemic. You can find Eugenio's work across Forbes, The Washington Post, Bloomberg and Financial Times as well as multiple journals and in the App Store.

    When he is not working, Eugenio enjoys contemporary art as well as playing Tennis with friends and traveling.

  • Author:

    Steven Woo

    Fellow and Distinguished Inventor
    Rambus


    I was drawn to Rambus to focus on cutting edge computing technologies. Throughout my 15+ year career, I’ve helped invent, create and develop means of driving and extending performance in both hardware and software solutions. At Rambus, we are solving challenges that are completely new to the industry and occur as a response to deployments that are highly sophisticated and advanced.

    As an inventor, I find myself approaching a challenge like a room filled with 100,000 pieces of a puzzle where it is my job to figure out how they all go together – without knowing what it is supposed to look like in the end. For me, the job of finishing the puzzle is as enjoyable as the actual process of coming up with a new, innovative solution.

    For example, RDRAM®, our first mainstream memory architecture, implemented in hundreds of millions of consumer, computing and networking products from leading electronics companies including Cisco, Dell, Hitachi, HP, Intel, etc. We did a lot of novel things that required inventiveness – we pushed the envelope and created state of the art performance without making actual changes to the infrastructure.

    I’m excited about the new opportunities as computing is becoming more and more pervasive in our everyday lives. With a world full of data, my job and my fellow inventors’ job will be to stay curious, maintain an inquisitive approach and create solutions that are technologically superior and that seamlessly intertwine with our daily lives.

    After an inspiring work day at Rambus, I enjoy spending time with my family, being outdoors, swimming, and reading.

    Education

    • Ph.D., Electrical Engineering, Stanford University
    • M.S. Electrical Engineering, Stanford University
    • Master of Engineering, Harvey Mudd College
    • B.S. Engineering, Harvey Mudd College

    Steven Woo

    Fellow and Distinguished Inventor
    Rambus


    I was drawn to Rambus to focus on cutting edge computing technologies. Throughout my 15+ year career, I’ve helped invent, create and develop means of driving and extending performance in both hardware and software solutions. At Rambus, we are solving challenges that are completely new to the industry and occur as a response to deployments that are highly sophisticated and advanced.

    As an inventor, I find myself approaching a challenge like a room filled with 100,000 pieces of a puzzle where it is my job to figure out how they all go together – without knowing what it is supposed to look like in the end. For me, the job of finishing the puzzle is as enjoyable as the actual process of coming up with a new, innovative solution.

    For example, RDRAM®, our first mainstream memory architecture, implemented in hundreds of millions of consumer, computing and networking products from leading electronics companies including Cisco, Dell, Hitachi, HP, Intel, etc. We did a lot of novel things that required inventiveness – we pushed the envelope and created state of the art performance without making actual changes to the infrastructure.

    I’m excited about the new opportunities as computing is becoming more and more pervasive in our everyday lives. With a world full of data, my job and my fellow inventors’ job will be to stay curious, maintain an inquisitive approach and create solutions that are technologically superior and that seamlessly intertwine with our daily lives.

    After an inspiring work day at Rambus, I enjoy spending time with my family, being outdoors, swimming, and reading.

    Education

    • Ph.D., Electrical Engineering, Stanford University
    • M.S. Electrical Engineering, Stanford University
    • Master of Engineering, Harvey Mudd College
    • B.S. Engineering, Harvey Mudd College
  • Author:

    Frank Maker

    Director, Software - Remotes, Voice and EdgeML
    Roku

    Frank Maker is Director of Software at Roku - his team is responsible for Voice, EdgeML, and Remote software He is the engineering owner for remotes and develops innovative EdgeML models for Roku´s new products.

    In his role, Frank is responsible for:

    * Embedded machine learning (TinyML / EdgeML)
    * Microcontroller firmware development
    * Embedded Linux firmware development (RokuOS)
    * Embedded machine learning model development and deployment
    * Automated EdgeML testing
    * Wi-Fi remote development

     

    Frank Maker

    Director, Software - Remotes, Voice and EdgeML
    Roku

    Frank Maker is Director of Software at Roku - his team is responsible for Voice, EdgeML, and Remote software He is the engineering owner for remotes and develops innovative EdgeML models for Roku´s new products.

    In his role, Frank is responsible for:

    * Embedded machine learning (TinyML / EdgeML)
    * Microcontroller firmware development
    * Embedded Linux firmware development (RokuOS)
    * Embedded machine learning model development and deployment
    * Automated EdgeML testing
    * Wi-Fi remote development

     

  • Author:

    Rochan Sankar

    Co-Founder & CEO
    Enfabrica

    Rochan is Founder, President and CEO of Enfabrica. Prior to founding Enfabrica, he was Senior Director and leader of the Data Center Ethernet switch silicon business at Broadcom, where he defined and brought to market multiple generations of Tomahawk/Trident chips and helped build industry-wide ecosystems including 25G Ethernet and disaggregated whitebox networking.

    Prior, he held roles in product management, chip architecture, and applications engineering across startup and public semiconductor companies. Rochan holds a B.A.Sc. in Electrical Engineering from the University of Toronto and an MBA from the Wharton School, and has 6 issued patents.

    Rochan Sankar

    Co-Founder & CEO
    Enfabrica

    Rochan is Founder, President and CEO of Enfabrica. Prior to founding Enfabrica, he was Senior Director and leader of the Data Center Ethernet switch silicon business at Broadcom, where he defined and brought to market multiple generations of Tomahawk/Trident chips and helped build industry-wide ecosystems including 25G Ethernet and disaggregated whitebox networking.

    Prior, he held roles in product management, chip architecture, and applications engineering across startup and public semiconductor companies. Rochan holds a B.A.Sc. in Electrical Engineering from the University of Toronto and an MBA from the Wharton School, and has 6 issued patents.

  • Author:

    Lisa Cohen

    Director of Data Science & Engineering, Google BARD & Assistant
    Google

    Lisa Cohen

    Director of Data Science & Engineering, Google BARD & Assistant
    Google
  • Author:

    Jeff Boudier

    Product Director
    Hugging Face

    Jeff Boudier is a product director at Hugging Face, creator of Transformers, the leading open-source NLP library. Previously Jeff was a co-founder of Stupeflix, acquired by GoPro, where he served as director of Product Management, Product Marketing, Business Development and Corporate Development.

    Jeff Boudier

    Product Director
    Hugging Face

    Jeff Boudier is a product director at Hugging Face, creator of Transformers, the leading open-source NLP library. Previously Jeff was a co-founder of Stupeflix, acquired by GoPro, where he served as director of Product Management, Product Marketing, Business Development and Corporate Development.

  • Author:

    Pushpak Pujari

    Head of Product - Camera Software and Video Products
    Verkada

    Pushpak leads Product Management at Verkada where he runs their Cloud Connected Security Camera product lines. He is responsible for using AI and Computer Vision on the camera to improve video and analytics capabilities and reduce incidence response time by surfacing only meaningful events in real-time, with minimal impact on bandwidth.

    Before Verkada, Pushpak led Product Management at Amazon where he built the end-to-end privacy-preserving ML platform at Amazon Alexa, and launched a no-code platform to design and deploy IoT automation workflows on edge devices at Amazon Web Services (AWS). Previous to Amazon, he spent 4 years at Sony in Japan building Sony’s flagship mirrorless cameras.

    Pushpak has extensive experience of starting, running and growing multi-million dollar products used by millions of users at the fastest growing companies in the US and the world. He holds an MBA from Wharton and Bachelors in Electrical Engineering from IIT Delhi, India

    Pushpak Pujari

    Head of Product - Camera Software and Video Products
    Verkada

    Pushpak leads Product Management at Verkada where he runs their Cloud Connected Security Camera product lines. He is responsible for using AI and Computer Vision on the camera to improve video and analytics capabilities and reduce incidence response time by surfacing only meaningful events in real-time, with minimal impact on bandwidth.

    Before Verkada, Pushpak led Product Management at Amazon where he built the end-to-end privacy-preserving ML platform at Amazon Alexa, and launched a no-code platform to design and deploy IoT automation workflows on edge devices at Amazon Web Services (AWS). Previous to Amazon, he spent 4 years at Sony in Japan building Sony’s flagship mirrorless cameras.

    Pushpak has extensive experience of starting, running and growing multi-million dollar products used by millions of users at the fastest growing companies in the US and the world. He holds an MBA from Wharton and Bachelors in Electrical Engineering from IIT Delhi, India

  • Author:

    Arun Iyengar

    CEO
    Untether AI

    Arun Iyengar is the CEO of Untether AI. He brings to Untether AI extensive operational and general management experience across a variety of markets from automotive, cloud, to wired and wireless infrastructure. Prior to Untether AI, Iyengar held leadership roles at Xilinx, AMD, and Altera where he set and executed strategies to grow revenues in each of the targeted markets.

    Arun Iyengar

    CEO
    Untether AI

    Arun Iyengar is the CEO of Untether AI. He brings to Untether AI extensive operational and general management experience across a variety of markets from automotive, cloud, to wired and wireless infrastructure. Prior to Untether AI, Iyengar held leadership roles at Xilinx, AMD, and Altera where he set and executed strategies to grow revenues in each of the targeted markets.

  • Author:

    Jay Dawani

    CEO
    Lemurian Labs

    Jay Dawani is co-founder & CEO of Lemurian Labs, a startup at the forefront of general purpose accelerated computing for making AI development affordable and generally available for all companies and people to equally benefit. Author of the influential book "Mathematics for Deep Learning", he has held leadership positions at companies such as BlocPlay and Geometric Energy Corporation, spearheading projects involving quantum computing, metaverse, blockchain, AI, space robotics, and more. Jay has also served as an advisor to NASA Frontier Development Lab, SiaClassic, and many leading AI firms.

    Jay Dawani

    CEO
    Lemurian Labs

    Jay Dawani is co-founder & CEO of Lemurian Labs, a startup at the forefront of general purpose accelerated computing for making AI development affordable and generally available for all companies and people to equally benefit. Author of the influential book "Mathematics for Deep Learning", he has held leadership positions at companies such as BlocPlay and Geometric Energy Corporation, spearheading projects involving quantum computing, metaverse, blockchain, AI, space robotics, and more. Jay has also served as an advisor to NASA Frontier Development Lab, SiaClassic, and many leading AI firms.

  • Author:

    Jaya Kawale

    VP of Engineering, AI/ML
    Tubi

    Jaya Kawale is the head of Machine Learning at Tubi, a Fox Corporation content platform. Jaya´s team works on solving various ML problems for Tubi´s product, ranging from recommendations, content understanding and acquisition, ads ML, etc. Her team also work on the application of cutting edge machine learning technologies such as contextual bandits, deep learning, computer vision and NLP to improve user experience at Tubi.

    Jaya Kawale

    VP of Engineering, AI/ML
    Tubi

    Jaya Kawale is the head of Machine Learning at Tubi, a Fox Corporation content platform. Jaya´s team works on solving various ML problems for Tubi´s product, ranging from recommendations, content understanding and acquisition, ads ML, etc. Her team also work on the application of cutting edge machine learning technologies such as contextual bandits, deep learning, computer vision and NLP to improve user experience at Tubi.

  • Author:

    Lokwon Kim

    CEO
    DeepX


    Dr. Lokwon Kim is CEO of DEEPX. Prior to DEEPX, Dr. Kim spent over a decade in leading research labs and companies such as Apple, Cisco Systems, the IBM Thomas J. Watson Research Center, Broadcom, the Korea Electronics Technology Institute (KETI) and Hynix Semiconductor (now SK hynix), where he played a key role in the design and verification of computer hardware systems used widely around the world. At Apple, Lokwon led design and verification of application processors used in the iPhone, iPad, Apple Watch and more. At Cisco, he played a key role in modeling, design and verification of network router core chipsets. He was the recipient of the Cisco Achievement Program Award in recognition of outstanding employee efforts and achievements. Lokwon earned a PhD in Electrical Engineering at UCLA.

    Lokwon Kim

    CEO
    DeepX


    Dr. Lokwon Kim is CEO of DEEPX. Prior to DEEPX, Dr. Kim spent over a decade in leading research labs and companies such as Apple, Cisco Systems, the IBM Thomas J. Watson Research Center, Broadcom, the Korea Electronics Technology Institute (KETI) and Hynix Semiconductor (now SK hynix), where he played a key role in the design and verification of computer hardware systems used widely around the world. At Apple, Lokwon led design and verification of application processors used in the iPhone, iPad, Apple Watch and more. At Cisco, he played a key role in modeling, design and verification of network router core chipsets. He was the recipient of the Cisco Achievement Program Award in recognition of outstanding employee efforts and achievements. Lokwon earned a PhD in Electrical Engineering at UCLA.

  • Author:

    Drew Matter

    Vice President
    Mikros Technologies

    Drew Matter serves as Vice President at Mikros Technologies, a premier designer and manufacturer of DLC single-phase and 2-phase cold plates and loops.  Mikros works closely with AI/ML system designers to provide highly-optimized thermal management solutions with industry-leading heat transfer performance to improve the power, performance, packaging, reliability and sustainability of their systems.

    Drew Matter

    Vice President
    Mikros Technologies

    Drew Matter serves as Vice President at Mikros Technologies, a premier designer and manufacturer of DLC single-phase and 2-phase cold plates and loops.  Mikros works closely with AI/ML system designers to provide highly-optimized thermal management solutions with industry-leading heat transfer performance to improve the power, performance, packaging, reliability and sustainability of their systems.

  • Author:

    Puja Das

    Senior Director, Personalization
    Warner Bros. Entertainment

    Puja Das

    Senior Director, Personalization
    Warner Bros. Entertainment
  • Author:

    Julius Lo

    Director
    NEUCHIPS

    Julius is a Director of NEUCHIPS, an AI ASIC startup for recommendation inferencing. Julius leads NEUCHIPS software team, covering server integration to on-board firmware. Before NEUCHIPS, Julius worked for Global Unchip Corp., hTC and Mediatek, devoting himself to RTL circuit design, Linux device drivers and performance optimization with power balancing in 20+ chips. He is an author of 6+ international patents in the areas of scheduling and data compression.

    Julius Lo

    Director
    NEUCHIPS

    Julius is a Director of NEUCHIPS, an AI ASIC startup for recommendation inferencing. Julius leads NEUCHIPS software team, covering server integration to on-board firmware. Before NEUCHIPS, Julius worked for Global Unchip Corp., hTC and Mediatek, devoting himself to RTL circuit design, Linux device drivers and performance optimization with power balancing in 20+ chips. He is an author of 6+ international patents in the areas of scheduling and data compression.

  • Author:

    Kent Draper

    Chief Commercial Officer
    Iris Energy

    Kent Draper

    Chief Commercial Officer
    Iris Energy
  • Author:

    Zaid Kahn

    VP & GM, Cloud AI & Advanced Systems
    Microsoft

    Zaid is currently GM in Cloud Hardware Infrastructure Engineering where he leads a team focusing on advanced architecture and engineering efforts for AI. He is passionate about building balanced teams of artists and soldiers that solve incredibly difficult problems at scale.

    Prior to Microsoft Zaid was head of infrastructure engineering at LinkedIn responsible for all aspects of engineering for Datacenters, Compute, Networking, Storage and Hardware. He also lead several software development teams spanning from BMC, network operating systems, server and network fleet automation to SDN efforts inside the datacenter and global backbone including edge. He introduced the concept of disaggregation inside LinkedIn and pioneered JDM with multiple vendors through key initiatives like OpenSwitch, Open19 essentially controlling destiny for hardware development at LinkedIn. During his 9 year tenure at LinkedIn his team scaled network and systems 150X, members from 50M to 675M, and hiring someone every 7 seconds on the LinkedIn Platform.

    Prior to LinkedIn Zaid was Network Architect at WebEx responsible for building the MediaTone network and later I built a startup that built a pattern recognition security chip using NPU/FPGA. Zaid holds several patents in networking and SDN and is also a recognized industry leader. He previously served as a board member of the Open19 Foundation and San Francisco chapter of Internet Society. Currently he serves on DE-CIX and Pensando advisory boards.

    Zaid Kahn

    VP & GM, Cloud AI & Advanced Systems
    Microsoft

    Zaid is currently GM in Cloud Hardware Infrastructure Engineering where he leads a team focusing on advanced architecture and engineering efforts for AI. He is passionate about building balanced teams of artists and soldiers that solve incredibly difficult problems at scale.

    Prior to Microsoft Zaid was head of infrastructure engineering at LinkedIn responsible for all aspects of engineering for Datacenters, Compute, Networking, Storage and Hardware. He also lead several software development teams spanning from BMC, network operating systems, server and network fleet automation to SDN efforts inside the datacenter and global backbone including edge. He introduced the concept of disaggregation inside LinkedIn and pioneered JDM with multiple vendors through key initiatives like OpenSwitch, Open19 essentially controlling destiny for hardware development at LinkedIn. During his 9 year tenure at LinkedIn his team scaled network and systems 150X, members from 50M to 675M, and hiring someone every 7 seconds on the LinkedIn Platform.

    Prior to LinkedIn Zaid was Network Architect at WebEx responsible for building the MediaTone network and later I built a startup that built a pattern recognition security chip using NPU/FPGA. Zaid holds several patents in networking and SDN and is also a recognized industry leader. He previously served as a board member of the Open19 Foundation and San Francisco chapter of Internet Society. Currently he serves on DE-CIX and Pensando advisory boards.

  • Author:

    Dudy Cohen

    VP Product Marketing
    Drivenets

    Dudy is a qualified manager and technology expert, with more than 30 years of experience in the networking industry. As a senior AI networking expert, he partners closely with the product and engineering teams to shape DriveNets’ vision for AI Networking, helping to deliver the high performance of a proprietary solution with a standards-based Ethernet implementation that provides unrivaled performance. Previously, Dudy served as the VP of Product Marketing at Ceragon. He also served as a Director of Solutions Engineering at Alvarion Ltd. Dudy holds an M.Sc.-E.E degree from the Tel Aviv University.

    Dudy Cohen

    VP Product Marketing
    Drivenets

    Dudy is a qualified manager and technology expert, with more than 30 years of experience in the networking industry. As a senior AI networking expert, he partners closely with the product and engineering teams to shape DriveNets’ vision for AI Networking, helping to deliver the high performance of a proprietary solution with a standards-based Ethernet implementation that provides unrivaled performance. Previously, Dudy served as the VP of Product Marketing at Ceragon. He also served as a Director of Solutions Engineering at Alvarion Ltd. Dudy holds an M.Sc.-E.E degree from the Tel Aviv University.

  • Author:

    Behnam Bastani

    Sr Director, Core AI
    Roblox

    Behnam Bastani is Senior Director of Engineering for AI & ML at Roblox, where he is building a collaborative immersive computing platform, reaching variable computing devices over heterogeneous network conditions. He is currently overseeing adaptive engine platform and on device AI/ML at Roblox.

    Behnam has 20+ years experience in building, scaling up and leveraging software, hardware and operating system organizations across multiple sites to innovate and launch new experiences on low powered consumer products. His product focus includes Graphics & AI based Rendering, Mobile Display System, Cloud Computing and on-Device AI.

    Behnam Bastani

    Sr Director, Core AI
    Roblox

    Behnam Bastani is Senior Director of Engineering for AI & ML at Roblox, where he is building a collaborative immersive computing platform, reaching variable computing devices over heterogeneous network conditions. He is currently overseeing adaptive engine platform and on device AI/ML at Roblox.

    Behnam has 20+ years experience in building, scaling up and leveraging software, hardware and operating system organizations across multiple sites to innovate and launch new experiences on low powered consumer products. His product focus includes Graphics & AI based Rendering, Mobile Display System, Cloud Computing and on-Device AI.

  • Author:

    Prashant Tiwari

    Former Executive Director, Software Platforms at Volkswagen

    Prashant Tiwari

    Former Executive Director, Software Platforms at Volkswagen
  • Author:

    Jeff White

    CTO, Edge
    Dell Technologies

    Jeff is the Industry CTO of Dell Technologies of the Automotive sector, specifically in the area of Connected and Autonomous Vehicles and overall Edge Technology strategy lead. Jeff is responsible for leading the team that is developing the overall Dell Technologies technology strategy development, architectural direction and product requirements for the Intelligent Connected Vehicle platform.

    He also is the Chairman of the Dell Automotive Design Authority Council responsible for the technical solution design. In his role as Edge Technology Lead he is driving the development of a Dell Technology wide Edge platform including the physical edge systems, heterogenous compute, memory/storage, environment, security, data management, control plane stack and automation/orchestration.

    Previously, Jeff has held senior roles at an early stage artificial intelligence/machine reasoning based process automation technology provider and Elefante Group a stratospheric wireless communications platform as CTO. He also held senior positions at Hewlett Packard Enterprise, Ericsson and Alcatel-Lucent where he led technology initiatives, solutions development, business development and services delivery.
    Earlier in his career White served in leadership roles at BellSouth and Cingular Wireless (now AT&T). At Cingular, he led the National Transport Infrastructure Engineering with responsibility for national transport, VoIP & IMS engineering. At BellSouth (now AT&T) he led the Broadband Internet Operations & Support organization which included broadband access tier two technical support, customer networking equipment business, broadband OSS & end-to-end process.

    White holds a Bachelor of Science degree in Electrical Engineering from Southern Polytechnic University. He also served as Chairman of the Tech Titans Technology Association of North Texas representing over 300 Technology companies in the greater North Texas community. He also served on the North Texas Regional committee of the Texas Emerging Technology fund under Governor Rick Perry.

    Jeff White

    CTO, Edge
    Dell Technologies

    Jeff is the Industry CTO of Dell Technologies of the Automotive sector, specifically in the area of Connected and Autonomous Vehicles and overall Edge Technology strategy lead. Jeff is responsible for leading the team that is developing the overall Dell Technologies technology strategy development, architectural direction and product requirements for the Intelligent Connected Vehicle platform.

    He also is the Chairman of the Dell Automotive Design Authority Council responsible for the technical solution design. In his role as Edge Technology Lead he is driving the development of a Dell Technology wide Edge platform including the physical edge systems, heterogenous compute, memory/storage, environment, security, data management, control plane stack and automation/orchestration.

    Previously, Jeff has held senior roles at an early stage artificial intelligence/machine reasoning based process automation technology provider and Elefante Group a stratospheric wireless communications platform as CTO. He also held senior positions at Hewlett Packard Enterprise, Ericsson and Alcatel-Lucent where he led technology initiatives, solutions development, business development and services delivery.
    Earlier in his career White served in leadership roles at BellSouth and Cingular Wireless (now AT&T). At Cingular, he led the National Transport Infrastructure Engineering with responsibility for national transport, VoIP & IMS engineering. At BellSouth (now AT&T) he led the Broadband Internet Operations & Support organization which included broadband access tier two technical support, customer networking equipment business, broadband OSS & end-to-end process.

    White holds a Bachelor of Science degree in Electrical Engineering from Southern Polytechnic University. He also served as Chairman of the Tech Titans Technology Association of North Texas representing over 300 Technology companies in the greater North Texas community. He also served on the North Texas Regional committee of the Texas Emerging Technology fund under Governor Rick Perry.

  • Author:

    Nandan Nayampally

    Chief Marketing Officer
    Brainchip

    Nandan is an entrepreneurial executive with over 25 years of success in building or growing disruptive businesses with industry-wide impact.  Nandan was most recently at Amazon leading the delivery of Alexa AI tools for Echo, Fire TV and other consumer devices. Prior to that he spent more than 15 years at Arm Inc.  including roles as GM developing Arm’s CPU and broader IP portfolio into an industry leader that is built into over 100B chips. He started his career at AMD on their very successful Athlon processor program. He also helped grow product lines in startup businesses such as Silicon Metrics and Denali Software which had successful acquisitions down the road.

    Nandan Nayampally

    Chief Marketing Officer
    Brainchip

    Nandan is an entrepreneurial executive with over 25 years of success in building or growing disruptive businesses with industry-wide impact.  Nandan was most recently at Amazon leading the delivery of Alexa AI tools for Echo, Fire TV and other consumer devices. Prior to that he spent more than 15 years at Arm Inc.  including roles as GM developing Arm’s CPU and broader IP portfolio into an industry leader that is built into over 100B chips. He started his career at AMD on their very successful Athlon processor program. He also helped grow product lines in startup businesses such as Silicon Metrics and Denali Software which had successful acquisitions down the road.

  • Author:

    Petr Lapukhov

    Network Engineer
    Meta

    Petr Lapukhov is a Network Engineer at Meta. He has 20+ years in the networking industry, designing and operating large scale networks. He has a depth of experience in developing and operating software for network control and monitoring. His past experience includes CCIE/CCDE training and UNIX system administration.

    Petr Lapukhov

    Network Engineer
    Meta

    Petr Lapukhov is a Network Engineer at Meta. He has 20+ years in the networking industry, designing and operating large scale networks. He has a depth of experience in developing and operating software for network control and monitoring. His past experience includes CCIE/CCDE training and UNIX system administration.

  • Author:

    Sutanay Choudhury

    Chief Scientist, Data Science
    Pacific Northwest National Laboratory

    Sutanay Choudhury is Chief Scientist, Data Sciences in Advanced Computing, Mathematics and Data division at Pacific Northwest National Laboratory, and the co-director of the Computational and Theoretical Chemistry Institute. His current research focuses on scalable graph representation learning and neural-symbolic reasoning, with applications to chemistry, medical informatics and power grid. Sutanay has more than a decade's experience in developing artificial intelligence and data analytics systems that extract, learn and search for patterns from the "complex web of things" - webs that emerge from atomistic interaction in molecular networks, to interaction between diseases, drugs and genes, or the web of human knowledge captured in knowledge bases such as Wikipedia, PubChem and SNOMED. His research has been supported by US Department of Energy, US Department of Homeland Security, DARPA and US Department of Veterans Affairs.

    Sutanay Choudhury

    Chief Scientist, Data Science
    Pacific Northwest National Laboratory

    Sutanay Choudhury is Chief Scientist, Data Sciences in Advanced Computing, Mathematics and Data division at Pacific Northwest National Laboratory, and the co-director of the Computational and Theoretical Chemistry Institute. His current research focuses on scalable graph representation learning and neural-symbolic reasoning, with applications to chemistry, medical informatics and power grid. Sutanay has more than a decade's experience in developing artificial intelligence and data analytics systems that extract, learn and search for patterns from the "complex web of things" - webs that emerge from atomistic interaction in molecular networks, to interaction between diseases, drugs and genes, or the web of human knowledge captured in knowledge bases such as Wikipedia, PubChem and SNOMED. His research has been supported by US Department of Energy, US Department of Homeland Security, DARPA and US Department of Veterans Affairs.

  • Author:

    Lior Khermosh

    CTO
    NeuReality

    Lior is passionate and experienced in ML, AI, DNNs and MLops.

    Lior was co-founder and Chief Scientist of ParallelM, a leader ML-Ops company.

    Prior to that he held the distinguished Fellow role at PMC Sierra and was on the founding team of Passave, a FTTH silicon company.

    He holds MSEE & BSEE degrees from Tel Aviv university, both Cum Laude.

    Lior Khermosh

    CTO
    NeuReality

    Lior is passionate and experienced in ML, AI, DNNs and MLops.

    Lior was co-founder and Chief Scientist of ParallelM, a leader ML-Ops company.

    Prior to that he held the distinguished Fellow role at PMC Sierra and was on the founding team of Passave, a FTTH silicon company.

    He holds MSEE & BSEE degrees from Tel Aviv university, both Cum Laude.

  • Author:

    Gayathri Radhakrishnan

    Partner
    Hitachi Ventures

    Gayathri is currently Partner at Hitachi Ventures. Prior to that, she was with Micron Ventures, actively investing in startups that apply AI to solve critical problems in the areas of Manufacturing, Healthcare and Automotive. She brings over 20 years of multi-disciplinary experience across product management, product marketing, corporate strategy, M&A and venture investments in large Fortune 500 companies such as Dell and Corning and in startups. She has also worked as an early stage investor at Earlybird Venture Capital, a premier European venture capital fund based in Germany. She has a Masters in EE from The Ohio State University and MBA from INSEAD in France. She is also a Kauffman Fellow - Class 16.

    Gayathri Radhakrishnan

    Partner
    Hitachi Ventures

    Gayathri is currently Partner at Hitachi Ventures. Prior to that, she was with Micron Ventures, actively investing in startups that apply AI to solve critical problems in the areas of Manufacturing, Healthcare and Automotive. She brings over 20 years of multi-disciplinary experience across product management, product marketing, corporate strategy, M&A and venture investments in large Fortune 500 companies such as Dell and Corning and in startups. She has also worked as an early stage investor at Earlybird Venture Capital, a premier European venture capital fund based in Germany. She has a Masters in EE from The Ohio State University and MBA from INSEAD in France. She is also a Kauffman Fellow - Class 16.

  • Author:

    Xinghai Hu

    Head of US Algorithm
    TikTok

    Xinghai Hu is currently the head of TikTok US recommendation team. His team works on responsible recommendation system, improving general safety and trustability of content recommendations.

    Xinghai Hu

    Head of US Algorithm
    TikTok

    Xinghai Hu is currently the head of TikTok US recommendation team. His team works on responsible recommendation system, improving general safety and trustability of content recommendations.

  • Author:

    Igor Susmelj

    Co-Founder
    Lightly

    Igor has more than five years of experience in machine learning. He holds a degree in electrical engineering from ETH Zurich. During his studies, he developed a lot of experience in machine learning and robotics. He had multiple successful publications in deep learning at top conferences such as ICML and ECCV. Before co-founding Lightly, he worked as a software engineer at the Swiss stock exchange for two years.

    Igor Susmelj

    Co-Founder
    Lightly

    Igor has more than five years of experience in machine learning. He holds a degree in electrical engineering from ETH Zurich. During his studies, he developed a lot of experience in machine learning and robotics. He had multiple successful publications in deep learning at top conferences such as ICML and ECCV. Before co-founding Lightly, he worked as a software engineer at the Swiss stock exchange for two years.

  • Author:

    Helen Byrne

    VP, Solution Architect
    Graphcore

    Helen leads the Solution Architects team at Graphcore, helping innovators build their AI solutions using Graphcore’s Intelligence Processing Units (IPUs). She has been at Graphcore for more than 5 years, previously leading AI Field Engineering and working in AI Research, working on problems in Distributed Machine Learning. Before landing in the technology industry, she worked in Investment Banking. Her background is in Mathematics and she has a MSc in Artificial Intelligence.

    Helen Byrne

    VP, Solution Architect
    Graphcore

    Helen leads the Solution Architects team at Graphcore, helping innovators build their AI solutions using Graphcore’s Intelligence Processing Units (IPUs). She has been at Graphcore for more than 5 years, previously leading AI Field Engineering and working in AI Research, working on problems in Distributed Machine Learning. Before landing in the technology industry, she worked in Investment Banking. Her background is in Mathematics and she has a MSc in Artificial Intelligence.

  • Author:

    Anuj Dutt

    Senior Software Engineer, AI Systems
    Jabra

    Anuj Dutt

    Senior Software Engineer, AI Systems
    Jabra
  • Author:

    Tony Chan Carusone

    CTO
    Alphawave Semi

    Tony Chan Carusone was appointed Chief Technology Officer in January 2022.  Tony has been a professor of Electrical and Computer Engineering at the University of Toronto since 2001.  He has well over 100 publications, including 8 award-winning best papers, focused on integrated circuits for digital communication.  Tony has served as a Distinguished Lecturer for the IEEE Solid-State Circuits Society and on the Technical Program Committees of world’s leading circuits conferences.  He co-authored the classic textbooks “Analog Integrated Circuit Design” and “Microelectronic Circuits” and he is a Fellow of the IEEE.  Tony has also been a consultant to the semiconductor industry for over 20 years, working with both startups and some of the largest technology companies in the world.

    Tony holds a B.A.Sc. in Engineering Science and a Ph.D. in Electrical Engineering from the University of Toronto.

    Tony Chan Carusone

    CTO
    Alphawave Semi

    Tony Chan Carusone was appointed Chief Technology Officer in January 2022.  Tony has been a professor of Electrical and Computer Engineering at the University of Toronto since 2001.  He has well over 100 publications, including 8 award-winning best papers, focused on integrated circuits for digital communication.  Tony has served as a Distinguished Lecturer for the IEEE Solid-State Circuits Society and on the Technical Program Committees of world’s leading circuits conferences.  He co-authored the classic textbooks “Analog Integrated Circuit Design” and “Microelectronic Circuits” and he is a Fellow of the IEEE.  Tony has also been a consultant to the semiconductor industry for over 20 years, working with both startups and some of the largest technology companies in the world.

    Tony holds a B.A.Sc. in Engineering Science and a Ph.D. in Electrical Engineering from the University of Toronto.

  • Author:

    Euicheol Lim

    Research Fellow, System Architect
    SK Hynix

    Euicheol Lim is a Research Fellow and leader of system architecture team in memory system research, SK hynix. He received the B.S. degree and the M.S. degree from Yonsei University, Seoul, Korea, in 1993 and 1995, and the Ph.D. degree from Sungkyunkwan University, suwon, Korea in 2006. Dr. Lim joined SK Hynix in 2016 as a system architect in memory system research. Before joining SK Hynix, he had been working as an SoC architect in Samsung Electronics and leading the architecture of most Exynos mobile SoC series. His recent interesting point is memory and storage system architecture for AI and Big data system with various new media memory.

    Euicheol Lim

    Research Fellow, System Architect
    SK Hynix

    Euicheol Lim is a Research Fellow and leader of system architecture team in memory system research, SK hynix. He received the B.S. degree and the M.S. degree from Yonsei University, Seoul, Korea, in 1993 and 1995, and the Ph.D. degree from Sungkyunkwan University, suwon, Korea in 2006. Dr. Lim joined SK Hynix in 2016 as a system architect in memory system research. Before joining SK Hynix, he had been working as an SoC architect in Samsung Electronics and leading the architecture of most Exynos mobile SoC series. His recent interesting point is memory and storage system architecture for AI and Big data system with various new media memory.

  • Author:

    David Kanter

    Founder & Executive Director
    MLCommons

    David founded and leads MLCommons, to make machine learning better for everyone through benchmarks, such as MLPerf, and building datasets and tools for data-centric AI.

    The mission of MLCommons™ is to make machine learning better for everyone. Together with its 50+ founding Members and Affiliates, including startups, leading companies, academics, and non-profits from around the globe, MLCommons will help grow machine learning from a research field into a mature industry through benchmarks, public datasets and best practices. MLCommons firmly believes in the power of open-source and open data. Our software projects are generally available under the Apache 2.0 license and our datasets generally use CC-BY 4.0.

    David Kanter

    Founder & Executive Director
    MLCommons

    David founded and leads MLCommons, to make machine learning better for everyone through benchmarks, such as MLPerf, and building datasets and tools for data-centric AI.

    The mission of MLCommons™ is to make machine learning better for everyone. Together with its 50+ founding Members and Affiliates, including startups, leading companies, academics, and non-profits from around the globe, MLCommons will help grow machine learning from a research field into a mature industry through benchmarks, public datasets and best practices. MLCommons firmly believes in the power of open-source and open data. Our software projects are generally available under the Apache 2.0 license and our datasets generally use CC-BY 4.0.

  • Author:

    Uri Rosenberg

    Specialist Technical Manager, AI/ML
    Amazon Web Services

    Uri Rosenberg is the Specialist Technical Manager of AI & ML services within enterprise support at Amazon Web Services (AWS) EMEA. Uri works to empower enterprise customers on all things ML: from underwater computer vision models that monitor fish to training models on satellite images in space; from optimizing costs to strategic discussions on deep learning and ethics. Uri brings his extensive experience to drive success of customers at all stages of ML adoption.

    Before AWS, Uri led the ML projects at AT&T innovation center in Israel, working on deep learning models with extreme security and privacy constraints.

    Uri is also an AWS certified Lead Machine learning subject matter expert and holds an MsC in Computer Science from Tel-Aviv Academic College, where his research focused on large scale deep learning models.

    Uri Rosenberg

    Specialist Technical Manager, AI/ML
    Amazon Web Services

    Uri Rosenberg is the Specialist Technical Manager of AI & ML services within enterprise support at Amazon Web Services (AWS) EMEA. Uri works to empower enterprise customers on all things ML: from underwater computer vision models that monitor fish to training models on satellite images in space; from optimizing costs to strategic discussions on deep learning and ethics. Uri brings his extensive experience to drive success of customers at all stages of ML adoption.

    Before AWS, Uri led the ML projects at AT&T innovation center in Israel, working on deep learning models with extreme security and privacy constraints.

    Uri is also an AWS certified Lead Machine learning subject matter expert and holds an MsC in Computer Science from Tel-Aviv Academic College, where his research focused on large scale deep learning models.

  • Author:

    Fabrizio Del Maffeo

    Co-Founder & CEO
    Axelera AI

    Fabrizio Del Maffeo is the CEO and co-founder of Axelera AI, the Netherlands-based startup building game-changing, scalable hardware for AI at the edge. Axelera AI was incubated by the Bitfury Group, a globally recognised emerging technologies company, where Fabrizio previously served as Head of AI. In his role at Axelera AI, Fabriozo leads a world-class executive team, board of directors and advisors from top AI Fortune 500 companies.

     

    Prior to joining Bitfury, Fabrizio was Vice President and Managing Director of AAEON Technology Europe, the AI and internet of things (IoT) computing company within the ASUS Group. During his time at AAEON, Fabrizio founded “UP Bridge the Gap,” a product line for professionals and innovators, now regarded as a leading reference solution in AI and IoT for Intel. In 2018, Fabrizio, alongside Intel, launched AAEON’s “AI in Production” program. He also previously served as the Country Manager for France and Sales Director for Northern, Southern and Eastern Europe at Advantech, the largest industrial IoT computing company. In this role, he also led the intelligent retail division. Fabrizio graduated with a master’s degree in telecommunication engineering from Milan Politecnico University.

     

    Fabrizio Del Maffeo

    Co-Founder & CEO
    Axelera AI

    Fabrizio Del Maffeo is the CEO and co-founder of Axelera AI, the Netherlands-based startup building game-changing, scalable hardware for AI at the edge. Axelera AI was incubated by the Bitfury Group, a globally recognised emerging technologies company, where Fabrizio previously served as Head of AI. In his role at Axelera AI, Fabriozo leads a world-class executive team, board of directors and advisors from top AI Fortune 500 companies.

     

    Prior to joining Bitfury, Fabrizio was Vice President and Managing Director of AAEON Technology Europe, the AI and internet of things (IoT) computing company within the ASUS Group. During his time at AAEON, Fabrizio founded “UP Bridge the Gap,” a product line for professionals and innovators, now regarded as a leading reference solution in AI and IoT for Intel. In 2018, Fabrizio, alongside Intel, launched AAEON’s “AI in Production” program. He also previously served as the Country Manager for France and Sales Director for Northern, Southern and Eastern Europe at Advantech, the largest industrial IoT computing company. In this role, he also led the intelligent retail division. Fabrizio graduated with a master’s degree in telecommunication engineering from Milan Politecnico University.

     

  • Author:

    Laurent Moll

    Chief Operating Officer
    Arteris

    Dr. Laurent Moll most recently served as Vice President of Engineering at Qualcomm where he led a 500-person team creating infrastructure IP for Qualcomm’s chips, including NoC interconnects, memory subsystems, cache coherency subsystems and more. Laurent has led a storied career for over two decades, performing key technical roles at industry leaders such as Digital Equipment Corporation, Compaq Computer Corporation, SiByte, Broadcom, Montalvo Systems and NVIDIA. Prior to his nearly 8-year tenure at Qualcomm, he was the Chief Technology Officer at Arteris Inc, a predecessor company of Arteris. Throughout his career, he has played an influential role in inventing the system-on-chip architectures, IP subsystems, and methodologies that are today the foundation of modern semiconductor design. Laurent earned his PhD in Computer Science at École Polytechnique and holds over 60 patents on various aspects of SoC technology.

     

    Laurent Moll

    Chief Operating Officer
    Arteris

    Dr. Laurent Moll most recently served as Vice President of Engineering at Qualcomm where he led a 500-person team creating infrastructure IP for Qualcomm’s chips, including NoC interconnects, memory subsystems, cache coherency subsystems and more. Laurent has led a storied career for over two decades, performing key technical roles at industry leaders such as Digital Equipment Corporation, Compaq Computer Corporation, SiByte, Broadcom, Montalvo Systems and NVIDIA. Prior to his nearly 8-year tenure at Qualcomm, he was the Chief Technology Officer at Arteris Inc, a predecessor company of Arteris. Throughout his career, he has played an influential role in inventing the system-on-chip architectures, IP subsystems, and methodologies that are today the foundation of modern semiconductor design. Laurent earned his PhD in Computer Science at École Polytechnique and holds over 60 patents on various aspects of SoC technology.

     

  • Author:

    Bing Yu

    Senior Technical Director
    Andes Technology

    Bing Yu is a Sr. Technical Director at Andes Technology. He has over 30 years of experience in technical leadership and management, specializing in machine learning hardware, high performance CPUs and system architecture. In his current role, he is responsible for processor roadmap, architecture, and product design. Bing received his BS degree in Electrical Engineering from San Jose State University and completed the Stanford Executive Program (SEP) at the Stanford Graduate School of Business.

    Bing Yu

    Senior Technical Director
    Andes Technology

    Bing Yu is a Sr. Technical Director at Andes Technology. He has over 30 years of experience in technical leadership and management, specializing in machine learning hardware, high performance CPUs and system architecture. In his current role, he is responsible for processor roadmap, architecture, and product design. Bing received his BS degree in Electrical Engineering from San Jose State University and completed the Stanford Executive Program (SEP) at the Stanford Graduate School of Business.

  • Author:

    Mike Demler

    Semiconductor Industry Analyst
    Independent

    Mike Demler is a longtime semiconductor industry veteran, technology analyst and strategic consultant. Over the last 10 years, Mike has authored numerous in-depth analyses of the innovative technologies driving advances in AI, ADAS, and autonomous vehicles. He co-authored five editions of the Linley Group Guide to Processors for Deep Learning, along with the Guide to Processors for Advanced Automotive.  He now offers his insights as an advisor to clients across a broad spectrum of the technology industry.

    Mike Demler

    Semiconductor Industry Analyst
    Independent

    Mike Demler is a longtime semiconductor industry veteran, technology analyst and strategic consultant. Over the last 10 years, Mike has authored numerous in-depth analyses of the innovative technologies driving advances in AI, ADAS, and autonomous vehicles. He co-authored five editions of the Linley Group Guide to Processors for Deep Learning, along with the Guide to Processors for Advanced Automotive.  He now offers his insights as an advisor to clients across a broad spectrum of the technology industry.

  • Author:

    Albert Chen

    Field Applications Manager
    Amphenol

    Albert Chen

    Field Applications Manager
    Amphenol
  • Author:

    Homer Najafi

    Director, DevOps & MLOps
    Levi Strauss & Co.

    Homer Najafi

    Director, DevOps & MLOps
    Levi Strauss & Co.
  • Author:

    Vivek Singhal

    CEO & Chief Data Scientist
    Cellstrat

     

     Vivek Singhal, CEO and Chief Data Scientist, CellStrat

    Vivek is an Entrepreneur and Thought Leader in Artificial Intelligence and deep-tech industries. He is an eminent data scientist and researcher with expertise in AI, Machine Learning and Data Science.

    Vivek has spent several years in high-tech industry working for top multinational companies and startups. He is a Co-Founder at CellStrat (www.cellstrat.ai) – a leading Artificial Intelligence firm that specializes in developing cutting-edge Generative AI and Large Language Model (LLM) products for businesses worldwide.

    Vivek has led the creation of one of the largest AI communities called the CellStrat AI Lab, that is at the forefront of cutting-edge R&D for Natural Language Processing, Computer Vision and other emerging AI domains.

    Previously, Vivek has been a Serial Entrepreneur and Technology Leader with strong global experience in AI, telecom and emerging technology in leading companies such as IBM, AT&T and Schlumberger, as well as several startups like Healthiply, SalesGlobe and LocVille.

    Vivek holds an Engineering degree from IIT Roorkee and an MBA from Georgia State University, Atlanta.

    Vivek Singhal

    CEO & Chief Data Scientist
    Cellstrat

     

     Vivek Singhal, CEO and Chief Data Scientist, CellStrat

    Vivek is an Entrepreneur and Thought Leader in Artificial Intelligence and deep-tech industries. He is an eminent data scientist and researcher with expertise in AI, Machine Learning and Data Science.

    Vivek has spent several years in high-tech industry working for top multinational companies and startups. He is a Co-Founder at CellStrat (www.cellstrat.ai) – a leading Artificial Intelligence firm that specializes in developing cutting-edge Generative AI and Large Language Model (LLM) products for businesses worldwide.

    Vivek has led the creation of one of the largest AI communities called the CellStrat AI Lab, that is at the forefront of cutting-edge R&D for Natural Language Processing, Computer Vision and other emerging AI domains.

    Previously, Vivek has been a Serial Entrepreneur and Technology Leader with strong global experience in AI, telecom and emerging technology in leading companies such as IBM, AT&T and Schlumberger, as well as several startups like Healthiply, SalesGlobe and LocVille.

    Vivek holds an Engineering degree from IIT Roorkee and an MBA from Georgia State University, Atlanta.

  • Author:

    Nuwan Jayasena

    Fellow
    AMD

    Nuwan Jayasena is a Fellow at AMD Research, and leads a team exploring hardware support, software enablement, and application adaptation for processing in memory. His broader interests include memory system architecture, accelerator-based computing, and machine learning. Nuwan holds an M.S. and a Ph.D. in Electrical Engineering from Stanford University and a B.S. from the University of Southern California. He is an inventor of over 70 US patents, an author of over 30 peer-reviewed publications, and a Senior Member of the IEEE. Prior to AMD, Nuwan was a processor architect at Nvidia Corp. and at Stream Processors, Inc.

    Nuwan Jayasena

    Fellow
    AMD

    Nuwan Jayasena is a Fellow at AMD Research, and leads a team exploring hardware support, software enablement, and application adaptation for processing in memory. His broader interests include memory system architecture, accelerator-based computing, and machine learning. Nuwan holds an M.S. and a Ph.D. in Electrical Engineering from Stanford University and a B.S. from the University of Southern California. He is an inventor of over 70 US patents, an author of over 30 peer-reviewed publications, and a Senior Member of the IEEE. Prior to AMD, Nuwan was a processor architect at Nvidia Corp. and at Stream Processors, Inc.

  • Author:

    Ron Lowman

    AI Strategic Marketing Manager
    Synopsys

    Ron Lowman joined Synopsys in 2014 and is currently the AI Strategic Marketing Manager for the Solutions Group. Ron is responsible for driving Synopsys’ Artificial Intelligence market IP initiatives, including strategic business and market trend analysis.

    Prior to joining Synopsys, Lowman spent 16 years at Motorola/Freescale in Controls Engineering, Automotive Product & Test Engineering, Product Management, Business Development, Operations, and Strategy Roles.

    Ron holds a Bachelor of Science in Electrical Engineering from Colorado School of Mines and an MBA from the University of Texas in Austin.

    Ron Lowman

    AI Strategic Marketing Manager
    Synopsys

    Ron Lowman joined Synopsys in 2014 and is currently the AI Strategic Marketing Manager for the Solutions Group. Ron is responsible for driving Synopsys’ Artificial Intelligence market IP initiatives, including strategic business and market trend analysis.

    Prior to joining Synopsys, Lowman spent 16 years at Motorola/Freescale in Controls Engineering, Automotive Product & Test Engineering, Product Management, Business Development, Operations, and Strategy Roles.

    Ron holds a Bachelor of Science in Electrical Engineering from Colorado School of Mines and an MBA from the University of Texas in Austin.

  • Author:

    Keith Kressin

    CEO
    MemryX

    I currently serve as CEO of MemryX, Inc., an innovative Edge AI startup founded by professors at the University of Michigan in Ann Arbor. Dr Wei Lu is our co-founder and current CTO, and an expert in memories and neuromorphic computing. We plan to enter production in 2023 with the world's best Edge AI solution.

    Prior to MemryX, I worked at Qualcomm for 13+ wonderful years, leading a variety of activities including the Snapdragon roadmap, all technologies for application processing, company strategy, competitive analysis, and more. I joined just prior to the first Android smartphone being launched. My most recent role was as SVP/GM helping Qualcomm diversify from smartphones, and leading several growth businesses including AR/VR, AI, PCs, and gaming. I very much enjoyed working with US partners like Facebook, Microsoft and Google in addition to international customers like Vivo, Oppo, Xiaomi, Sony, Samsung, and so many more.

    Prior to Qualcomm, I was able to work at Intel for 8+ years in a number of technology, product, and planning roles in different market segments including laptops, desktops and servers. Together we accomplished a # of industry firsts.

    During my time at Intel and Qualcomm, I was deeply engaged in shipping substantially more than 1 Billion advanced chips for mobile personal computing devices. I look forward to helping to grow the use of Edge AI in a number of clients as the world continuously becomes both more intelligent and more connected.

    Beyond the world of technology, working with smart/dedicated/honest/ethical people is what keeps me enthused to work each day.

    Keith Kressin

    CEO
    MemryX

    I currently serve as CEO of MemryX, Inc., an innovative Edge AI startup founded by professors at the University of Michigan in Ann Arbor. Dr Wei Lu is our co-founder and current CTO, and an expert in memories and neuromorphic computing. We plan to enter production in 2023 with the world's best Edge AI solution.

    Prior to MemryX, I worked at Qualcomm for 13+ wonderful years, leading a variety of activities including the Snapdragon roadmap, all technologies for application processing, company strategy, competitive analysis, and more. I joined just prior to the first Android smartphone being launched. My most recent role was as SVP/GM helping Qualcomm diversify from smartphones, and leading several growth businesses including AR/VR, AI, PCs, and gaming. I very much enjoyed working with US partners like Facebook, Microsoft and Google in addition to international customers like Vivo, Oppo, Xiaomi, Sony, Samsung, and so many more.

    Prior to Qualcomm, I was able to work at Intel for 8+ years in a number of technology, product, and planning roles in different market segments including laptops, desktops and servers. Together we accomplished a # of industry firsts.

    During my time at Intel and Qualcomm, I was deeply engaged in shipping substantially more than 1 Billion advanced chips for mobile personal computing devices. I look forward to helping to grow the use of Edge AI in a number of clients as the world continuously becomes both more intelligent and more connected.

    Beyond the world of technology, working with smart/dedicated/honest/ethical people is what keeps me enthused to work each day.

  • Author:

    Julian Käuser

    Acceleration Engineer
    Xelera Technologies

    Meet one of Xeleras Acceleration Engineers, Julian Käuser.

    Whilst working on different projects, he became an experienced FPGA engineer.

    Julian possesses a master's degree in electrical engineering awarded by Technische Universität Darmstadt in Germany.

    Julian Käuser

    Acceleration Engineer
    Xelera Technologies

    Meet one of Xeleras Acceleration Engineers, Julian Käuser.

    Whilst working on different projects, he became an experienced FPGA engineer.

    Julian possesses a master's degree in electrical engineering awarded by Technische Universität Darmstadt in Germany.

  • Author:

    Paresh Dave

    Senior Writer
    WIRED

    Paresh Dave is a senior writer for WIRED, covering the inner workings of big tech companies. He writes about how apps and gadgets are built and about their impacts, while giving voice to the stories of the underappreciated and disadvantaged. He was previously a reporter for Reuters and the Los Angeles Times, and an investigative reporting fellow at the Maynard Institute for Journalism Education. His work has tackled topics as varied as esportsOlympics baseball, and diversity and ethics in the tech industry. His team reporting on Snapchat’s IPO was recognized by the Society for Advancing Business Editing and Writing. He is a lifelong Californian.

    Paresh Dave

    Senior Writer
    WIRED

    Paresh Dave is a senior writer for WIRED, covering the inner workings of big tech companies. He writes about how apps and gadgets are built and about their impacts, while giving voice to the stories of the underappreciated and disadvantaged. He was previously a reporter for Reuters and the Los Angeles Times, and an investigative reporting fellow at the Maynard Institute for Journalism Education. His work has tackled topics as varied as esportsOlympics baseball, and diversity and ethics in the tech industry. His team reporting on Snapchat’s IPO was recognized by the Society for Advancing Business Editing and Writing. He is a lifelong Californian.

  • Author:

    Anlu Xing

    Senior Data Scientist
    Meta

    Anlu Xing is a Senior Research Scientist/Machine Learning Engineer at Meta, working on LLM applications for business product (GenAI for Monetization)
    and leading projects on the company's top priority product -- Short-form video (reels) recommendation, ranking and creator relevance.

    Anlu Xing

    Senior Data Scientist
    Meta

    Anlu Xing is a Senior Research Scientist/Machine Learning Engineer at Meta, working on LLM applications for business product (GenAI for Monetization)
    and leading projects on the company's top priority product -- Short-form video (reels) recommendation, ranking and creator relevance.

  • Author:

    Gordon Cooper

    Product Marketing Manager
    Synopsys

    Gordon Cooper is a Product Manager for Synopsys' AI/ML processor products. Gordon brings more than 20 years of experience in digital design, field applications and marketing at Raytheon, Analog Devices, and NXP to the role. Gordon also served as a Commanding Officer in the US Army Reserve, including a tour in Kosovo. Gordon holds a Bachelor of Science degree in Electrical Engineering from Clarkson University.

    Gordon Cooper

    Product Marketing Manager
    Synopsys

    Gordon Cooper is a Product Manager for Synopsys' AI/ML processor products. Gordon brings more than 20 years of experience in digital design, field applications and marketing at Raytheon, Analog Devices, and NXP to the role. Gordon also served as a Commanding Officer in the US Army Reserve, including a tour in Kosovo. Gordon holds a Bachelor of Science degree in Electrical Engineering from Clarkson University.

  • Author:

    Rob Aitken

    Distinguished Architect
    Synopsys

    Rob Aitken leads the Office of Technology Strategy at Synopsys, where he and his team are looking into future technical opportunities for the company, including AI approaches, security, and next generation design methodology. Prior to joining Synopsys in 2022 he worked at Arm, Artisan, HP and Agilent. Dr. Aitken is an IEEE Fellow.

    Rob Aitken

    Distinguished Architect
    Synopsys

    Rob Aitken leads the Office of Technology Strategy at Synopsys, where he and his team are looking into future technical opportunities for the company, including AI approaches, security, and next generation design methodology. Prior to joining Synopsys in 2022 he worked at Arm, Artisan, HP and Agilent. Dr. Aitken is an IEEE Fellow.

  • Author:

    Vasudev Lal

    AI/ML Research Scientist
    Intel Labs

    Vasudev Lal is an AI Research Scientist at Intel Labs where he leads the Multimodal Cognitive AI team. His team develops AI systems that can synthesize concept-level understanding from multiple modalities: vision, language, video and audio. His current research interests include equipping deep learning with mechanisms to inject external knowledge; self-supervised training at scale for continuous and high dimensional modalities like images, video and audio; mechanisms to combine deep learning with symbolic compute.  Prior to joining Intel, Vasudev obtained his PhD in Electrical and Computer Engineering from the University of Michigan, Ann Arbor.

    Vasudev Lal

    AI/ML Research Scientist
    Intel Labs

    Vasudev Lal is an AI Research Scientist at Intel Labs where he leads the Multimodal Cognitive AI team. His team develops AI systems that can synthesize concept-level understanding from multiple modalities: vision, language, video and audio. His current research interests include equipping deep learning with mechanisms to inject external knowledge; self-supervised training at scale for continuous and high dimensional modalities like images, video and audio; mechanisms to combine deep learning with symbolic compute.  Prior to joining Intel, Vasudev obtained his PhD in Electrical and Computer Engineering from the University of Michigan, Ann Arbor.

  • Author:

    Sailesh Chittipeddi

    EVP, GM & President, Renesas USA
    Renesas

    Dr. Sailesh Chittipeddi became the Executive Vice President and the General Manager of the Embedded Processing, Digital Power and Signal Chain Solutions Group of Renesas in July 2019. He joined Renesas in March 2019.

    Before joining Renesas, he served as IDT’s Executive Vice President of Global Operations and CTO, with an additional focus on corporate growth and differentiation. In this role, he was responsible for the company’s operations, procurement, quality, supply chain, foundry engineering, assembly engineering, product & test engineering, facilities, Design Automation, and Information Technology groups. From a product line perspective, he had responsibility for the IoT Systems Group, RapidWave Interconnect Systems, PCIe and Standard Products Group. Additionally, Dr. Chittipeddi helped IDT leverage its existing strengths to increase corporate value while driving the rapid delivery of new products.

    Prior to joining IDT, Dr. Chittipeddi was President and CEO of Conexant Systems and served on its Board of Directors. He led the company in its transition from a public company to private ownership and through its debt restructuring efforts. Before that, he held several executive roles at Conexant Systems, including COO, co-President, EVP for Operations and Chief Technical Officer, with responsibility for global engineering, product development, operations, quality, facilities, IT and associated infrastructure support. Dr. Chittipeddi started his career in technology with AT&T Bell Labs and progressively managed larger engineering and operations groups with AT&T Microelectronics/Lucent and Agere Systems. Dr. Chittipeddi serves on the Board of Directors for Avalanche Technology (USA) and Tessolve (Division of Hero Electronix, India). He also serves as a Board Observer in Blu Wireless Technology (Bristol, UK), Peraso Technologies (Canada) and Anagog (Israel).

    Dr. Chittipeddi holds five degrees, including an MBA from the University of Texas at Austin and a Ph.D. in physics from The Ohio State University. Dr. Chittipeddi has earned 64 U.S. patents related to semiconductor process, package and design, and has had nearly 40 technical articles published.

    Sailesh Chittipeddi

    EVP, GM & President, Renesas USA
    Renesas

    Dr. Sailesh Chittipeddi became the Executive Vice President and the General Manager of the Embedded Processing, Digital Power and Signal Chain Solutions Group of Renesas in July 2019. He joined Renesas in March 2019.

    Before joining Renesas, he served as IDT’s Executive Vice President of Global Operations and CTO, with an additional focus on corporate growth and differentiation. In this role, he was responsible for the company’s operations, procurement, quality, supply chain, foundry engineering, assembly engineering, product & test engineering, facilities, Design Automation, and Information Technology groups. From a product line perspective, he had responsibility for the IoT Systems Group, RapidWave Interconnect Systems, PCIe and Standard Products Group. Additionally, Dr. Chittipeddi helped IDT leverage its existing strengths to increase corporate value while driving the rapid delivery of new products.

    Prior to joining IDT, Dr. Chittipeddi was President and CEO of Conexant Systems and served on its Board of Directors. He led the company in its transition from a public company to private ownership and through its debt restructuring efforts. Before that, he held several executive roles at Conexant Systems, including COO, co-President, EVP for Operations and Chief Technical Officer, with responsibility for global engineering, product development, operations, quality, facilities, IT and associated infrastructure support. Dr. Chittipeddi started his career in technology with AT&T Bell Labs and progressively managed larger engineering and operations groups with AT&T Microelectronics/Lucent and Agere Systems. Dr. Chittipeddi serves on the Board of Directors for Avalanche Technology (USA) and Tessolve (Division of Hero Electronix, India). He also serves as a Board Observer in Blu Wireless Technology (Bristol, UK), Peraso Technologies (Canada) and Anagog (Israel).

    Dr. Chittipeddi holds five degrees, including an MBA from the University of Texas at Austin and a Ph.D. in physics from The Ohio State University. Dr. Chittipeddi has earned 64 U.S. patents related to semiconductor process, package and design, and has had nearly 40 technical articles published.

  • Author:

    Alex Tsyplikhin

    Director, Field AI Engineering
    Graphcore

    Alex Tsyplikhin

    Director, Field AI Engineering
    Graphcore
  • Author:

    Rob Telson

    Vice President of Ecosystems & Partnerships
    BrainChip

    Rob Telson brings over 25 years of sales expertise in licensing intellectual property and selling EDA technology across multiple vertical markets. He has had success developing sales and support organizations at small, midsize, and large companies. At ARM, a global semiconductor and software design company, Rob was Vice President of Foundry Sales worldwide and prior was Vice President of Sales for the Americas. At Synopsys, he was responsible for building and developing a business focused on disruptive technologies in the semiconductor space. Rob has been impactful on driving the growth and demand of BrainChip’s technology leading Worldwide Sales and Marketing and now developing and leading the Ecosystem and Partnerships at BrainChip. Rob holds a BS in political science from the University of Arizona and a Program for Leadership Development certificate from Harvard Business School.

    Rob Telson

    Vice President of Ecosystems & Partnerships
    BrainChip

    Rob Telson brings over 25 years of sales expertise in licensing intellectual property and selling EDA technology across multiple vertical markets. He has had success developing sales and support organizations at small, midsize, and large companies. At ARM, a global semiconductor and software design company, Rob was Vice President of Foundry Sales worldwide and prior was Vice President of Sales for the Americas. At Synopsys, he was responsible for building and developing a business focused on disruptive technologies in the semiconductor space. Rob has been impactful on driving the growth and demand of BrainChip’s technology leading Worldwide Sales and Marketing and now developing and leading the Ecosystem and Partnerships at BrainChip. Rob holds a BS in political science from the University of Arizona and a Program for Leadership Development certificate from Harvard Business School.

  • Author:

    Stuart Swan

    Platform Architect
    Siemens EDA

    Stuart Swan is a Platform Architect on the Catapult team, focusing on SoC modeling for High-Level Synthesis. Prior to Siemens EDA, Stuart worked for Qualcomm and Cadence. Stuart is co-author of the first book on SystemC, "System Design with SystemC," and was the IEEE technical chairman of the 2005 SystemC LRM. He received his BSEE from Stanford University.

    Stuart Swan

    Platform Architect
    Siemens EDA

    Stuart Swan is a Platform Architect on the Catapult team, focusing on SoC modeling for High-Level Synthesis. Prior to Siemens EDA, Stuart worked for Qualcomm and Cadence. Stuart is co-author of the first book on SystemC, "System Design with SystemC," and was the IEEE technical chairman of the 2005 SystemC LRM. He received his BSEE from Stanford University.

  • Author:

    Sandeep Garg

    Director, Engineering
    Siemens EDA

    Sandeep Garg is the Director of Engineering for Catapult at Siemens EDA, responsible for our High-Level Synthesis (HLS) and verification products.

    Sandeep has more than 26 years of experience in EDA industry, 18+ of which have been HLS and verification at Siemens, Mentor Graphics and Calypto in various leadership roles in engineering. Catapult’s bottom-up and low-power solutions were launched under Sandeep’s leadership. Sandeep has been instrumental in building up an extensive network of partnerships and ecosystem with academia and research institutes around Catapult HLS, helping evangelize the HLS tools and methodologies and collaborating with cutting edge research initiatives. Before HLS, Sandeep was an architect and a technology and program manager for Mentor Graphics’ Precision FPGA synthesis product line, helping replace their old HDL frontend with a modern alternative and contributing significantly to both its frontend and backend optimizations.

     

    Sandeep came to Mentor Graphics via IKOS Systems acquisition where he was working on hardware-assisted co-simulation products and RTL compiler technology that have since been adopted by many SEDA products.

    Sandeep Garg

    Director, Engineering
    Siemens EDA

    Sandeep Garg is the Director of Engineering for Catapult at Siemens EDA, responsible for our High-Level Synthesis (HLS) and verification products.

    Sandeep has more than 26 years of experience in EDA industry, 18+ of which have been HLS and verification at Siemens, Mentor Graphics and Calypto in various leadership roles in engineering. Catapult’s bottom-up and low-power solutions were launched under Sandeep’s leadership. Sandeep has been instrumental in building up an extensive network of partnerships and ecosystem with academia and research institutes around Catapult HLS, helping evangelize the HLS tools and methodologies and collaborating with cutting edge research initiatives. Before HLS, Sandeep was an architect and a technology and program manager for Mentor Graphics’ Precision FPGA synthesis product line, helping replace their old HDL frontend with a modern alternative and contributing significantly to both its frontend and backend optimizations.

     

    Sandeep came to Mentor Graphics via IKOS Systems acquisition where he was working on hardware-assisted co-simulation products and RTL compiler technology that have since been adopted by many SEDA products.

  • Author:

    Greg Stover

    Global Director, Hi-Tech Development
    Vertiv

    With more than 30 years of experience in data center efficiency optimization with large data center enterprise operators and industry leading VARs/Resellers, Greg champions the successful leveraging and utilization of Vertiv’s amazing and constantly evolving portfolio of thermal, power, monitoring & management solutions for the hyperscale, colocation, on-prem, DR and edge IoT ecosystems.

    As a data center efficiency optimization enthusiast, Greg has a proven track record of bringing leading and bleeding edge cooling, power, monitoring and DCIM solutions and tools through introduction, implementation and successful execution, while staying keenly focused and aligned with client/enterprise/edge operator’s goals & objectives. Greg is a frequent presenter at industry conferences, trade shows and Integrator/VAR/Partner training events.

    Greg Stover

    Global Director, Hi-Tech Development
    Vertiv

    With more than 30 years of experience in data center efficiency optimization with large data center enterprise operators and industry leading VARs/Resellers, Greg champions the successful leveraging and utilization of Vertiv’s amazing and constantly evolving portfolio of thermal, power, monitoring & management solutions for the hyperscale, colocation, on-prem, DR and edge IoT ecosystems.

    As a data center efficiency optimization enthusiast, Greg has a proven track record of bringing leading and bleeding edge cooling, power, monitoring and DCIM solutions and tools through introduction, implementation and successful execution, while staying keenly focused and aligned with client/enterprise/edge operator’s goals & objectives. Greg is a frequent presenter at industry conferences, trade shows and Integrator/VAR/Partner training events.

  • Author:

    Vincent Huard

    CTO
    Dolphin Design

    Vincent Huard, Senior Executive Director and Chief Technology Officer, leads long-term research programs at Dolphin Design.  Through the research’s initiatives, in collaboration with business and academic leaders, the CTO office explores emerging technologies and assesses their impact on the company’s business. Vincent is also responsible for Audio and Edge AI IP product lines to develop high-quality IPs and support our customers.

    Prior to joining Dolphin Design and SOITEC group in 2018, Vincent served multiple managerial and technical staff positions at Philips, NXP semiconductors, and STMicroelectronics focusing on improving Low-Power and High Reliability products throughout the companies. 

    Vincent has held appointments as a visiting scholar at the University of California working on MRAM and spintronics while teaching graduate students. 

    He authored 200+ papers, several invited papers, tutorials, and keynotes, held 20+ patents, and used to serve as IRPS Management Committee member and on technical committees of various conferences. He is the recipient of numerous Best Paper awards in various conferences.

    Vincent received a B.S. (1996) in physics and an M.S. (1997) in electrical engineering from INPG. He received his Ph.D. (2000) in physics from Grenoble University.  

    Vincent Huard

    CTO
    Dolphin Design

    Vincent Huard, Senior Executive Director and Chief Technology Officer, leads long-term research programs at Dolphin Design.  Through the research’s initiatives, in collaboration with business and academic leaders, the CTO office explores emerging technologies and assesses their impact on the company’s business. Vincent is also responsible for Audio and Edge AI IP product lines to develop high-quality IPs and support our customers.

    Prior to joining Dolphin Design and SOITEC group in 2018, Vincent served multiple managerial and technical staff positions at Philips, NXP semiconductors, and STMicroelectronics focusing on improving Low-Power and High Reliability products throughout the companies. 

    Vincent has held appointments as a visiting scholar at the University of California working on MRAM and spintronics while teaching graduate students. 

    He authored 200+ papers, several invited papers, tutorials, and keynotes, held 20+ patents, and used to serve as IRPS Management Committee member and on technical committees of various conferences. He is the recipient of numerous Best Paper awards in various conferences.

    Vincent received a B.S. (1996) in physics and an M.S. (1997) in electrical engineering from INPG. He received his Ph.D. (2000) in physics from Grenoble University.  

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