AI Technical Advisory Board

Industry Veterans Guide eSilicon’s Artificial Intelligence Strategy

AI is a rapidly evolving field. Through eSilicon’s neuASIC™ IP platform, we are providing the IP and architecture necessary to track changing AI algorithms to support more efficient AI accelerator development through ASIC technology.

Our AI Technical Advisory Board brings a wealth of experience in hardware design, software development and advanced research. This group helps to guide eSilicon’s AI development efforts to ensure a match with the demands of this dynamic marketplace.

Dr. Dileep Bhandarkar eSilicon Artificial Intelligence Technical Advisory BoardDr. Dileep Bhandarkar, Independent Datacenter Technologies and Neural Network Consultant and TAB Chairperson

Prior to becoming an independent consultant, Dr. Bhandarkar was the vice president of technology at Qualcomm, where he held a CTO role for 64-bit multi-core ARM server development and led technology strategy, path finding and business development for ARM-based servers. Prior to Qualcomm, he was a distinguished engineer at Microsoft, where he led a hardware architecture team to proactively drive innovation and standards for Microsoft mega data centers. Prior to Microsoft, Dr. Bhandarkar was director of architecture at Intel, where he was the lead spokesperson for evangelizing Intel server platform technologies to the industry and financial analysts. He has also held positions at Digital Equipment Corporation and Texas Instruments.

Dr. Bhandarkar holds a B. Tech. in EE from the Indian Institute of Technology, Bombay and a PhD in EE/computer science from Carnegie Mellon University. He is an IEEE fellow.

Dr. Michael Orshansky eSilicon Artificial Intelligence Technical Advisory BoardDr. Michael Orshansky, Professor, Department of Electrical and Computer Engineering, University of Texas at Austin

Dr. Orshansky holds the John E. Kasch Endowed Faculty Fellowship in Engineering at UT Austin. His research interests include low-power design, hardware security, approximate computing, design optimization for robustness and manufacturability, and statistical analysis and design methods. His recent research is on approximate computing for on-chip machine learning acceleration He has published over a hundred technical articles and holds several U.S. patents. He is the author of the book Design for Manufacturability and Statistical Design: A Constructive Approach. He has served as an associate editor for the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Transactions on VLSI.

Orshansky is the recipient of a number of awards for his research contributions and professional services, including the National Science Foundation CAREER award in 2004, ACM/SIGDA Outstanding New Faculty Award in 2007, ACM Recognition of Service Award in 2007, University of Texas Faculty Research Award in 2004, IEEE Transactions on Semiconductor Manufacturing Best Paper Award in 2004, Best Paper Award at the Design Automation Conference in 2005, Best Paper Award at the International Symposium on Quality Electronic Design in 2006, and IEEE/ACM William J. McCalla Best Paper Award at the International Conference on Computer-Aided Design in 2006. His papers have been Best Paper Award Finalists at ICCAD 2017, HOST 2013 and 2018. He is an IEEE fellow.

Dr. Mattan Erez eSilicon Artificial Intelligence Technical Advisory BoardDr. Mattan Erez, Professor and a Temple Foundation Faculty Fellow at the Department of Electrical and Computer Engineering at the University of Texas at Austin

The research of Dr. Erez focuses on improving the performance, efficiency, and scalability of computing systems through advances in memory systems, hardware architecture, software systems, and programming models. His current focus areas are architectures for machine learning, large-scale and high-performance computing, and memory systems. His work aims to improve cooperation across system layers and develop flexible and adaptive mechanisms for proportional resource usage.

Erez received a BSc in Electrical Engineering and a BA in Physics from the Technion, Israel Institute of Technology and his MS and PhD in Electrical Engineering from Stanford University. He was awarded a Presidential Early Career Award for Scientists and Engineers from President Obama and received an Early Career Research Award from the Department of Energy and an NSF CAREER Award.

Ron Bodkin, Technical Director, Applied Artificial Intelligence, Google and AI Technical Advisory Board, eSiliconRon Bodkin, Technical Director, Applied Artificial Intelligence, Google

Ron is technical director for Applied Artificial Intelligence in Google’s Cloud CTO office. Ron leads AI experiments and works with Google product management and engineering to develop AI and analytics products. He is a serial entrepreneur with a focus on data science and big data analytics. Prior to joining Google, Ron was vice president and general manager, artificial intelligence for Teradata. Prior to Teradata, he was the founder and CEO of Think Big Analytics (acquired by Teradata) and vice president of engineering at Quantcast. Bodkin was also the founder of New Aspects of Software and Glassbox and the co-founder and CTO of C-bridge Internet Solutions, where he led the company to a successful IPO.Ron began his career as a principal consultant at Andersen Consulting.

He holds a B. Sc. in computer science and math from McGill University and an MS, computer science from MIT.

Patrick Soheili eSilicon Artificial Intelligence Technical Advisory BoardPatrick Soheili, Vice President, Business and Corporate Development, eSilicon Corporation

Patrick Soheili is responsible for eSilicon’s worldwide business and corporate development activities, with a specific focus on artificial intelligence. Mr. Soheili has over 25 years of demonstrated success at several leading high-tech companies. Mr. Soheili has been president and CEO of On Demand Microelectronics, Cradle Technologies and Softcoin. He was a founding partner of Barrington Partners, a technology-focused venture capital firm, from 1998 to 2002. Mr. Soheili was vice president of sales and marketing for Invox Technology. Prior to Invox, he was a senior executive with Altera Corporation. Before Altera, he spent several years in various marketing management positions with AMD and TRW.

Mr. Soheili holds a Bachelor of Science in Mathematics from University of California, Santa Barbara and a Masters of Business Administration from Purdue University.