As VLSI design complexities explode, so do the challenges for designers and more so for the verification engineers who are chartered to monitor the design and make sure that bugs are caught and resolved in a timely manner. However, is there a proactive way for us to use Artificial Intelligence and Machine Learning techniques in design and verification to help companies in the design cycle. Can issues be predicted before they crop up? Can proactive guidelines be provided both to design engineers and verification engineers to help them stay ahead of the ever increasing complexity of design and verification problems?
Biography: Sidhartha Mohanty (Moderator) Sidhartha Mohanty is the Director of the Technology Office at Intel India. Based in Bangalore, he leads the organization that is responsible for driving the technology vision for Intel, India. Additionally, Sidhartha also leads the Programmable IP Engineering Team at Intel India. Prior to joining Intel, Sidhartha was the Managing Director of Lattice Semiconductors, India, responsible for all the site functions: R&D, IP & Design Services, Consumer Mobile System Solutions, Applications Engineering, Customer Support, and Sales. Sidhartha has over two decades of experience in technology both in the US and in India. He has extensive experience both on the business and engineering sides of the operation having worked in other prominent multinationals like AT&T Bell Labs, Lucent Technologies, and Agere Systems.
Biography:Ruchir Dixit Ruchir has close to 20 years of experience in the semiconductor industry focused having executed at multiple levels of responsibilities in design and development of ASIC, FPGA and PCB products. Ruchir has worked with many customers world-wide and helped them to define the problem and then work to create solutions. Ruchir spent 11 years in Mentor, US and then moved to India in 2005 to start building the application engineering team in India. Until recently, Ruchir was leading a global team on DFT and Analog/Mixed Signal technologies. Now, Ruchir leads the India technical organization that works with customers across all product lines of Mentor. Ruchir graduated from Wayne State University, Michigan with a Masters in Computer Engineering and has an undergraduate degree in Electronics & Instrumentation from Indore University, India.
Biography: Badri Gopalan: Badri Gopalan is a Member of Technical Staff in the Verification R&D team at Synopsys, working on tools and projects which use AI, ML and cloud technology in the RTL design and verification process. He has spent 10+ years during multiple stints at Synopsys, and several more at hardware startups as a ASIC engineer and chip manager, as well as software startups as a co-founder and VP Engineering. He has an MSEE from the University of Maryland College Park, and a B.Tech in EE from Indian Institute of Technology Bombay.
Biography: Sukumar Raghuram: Sukumar is a Principal Engineer at Intel Corp., working on verification architecture and methodology for graphics IP and SoCs. In the past, he has worked on products for different segments from server and clients to mobile and IoT. He is currently driving multiple initiatives to tackle front-end execution challenges using Machine Learning at intel. Sukumar completed his BE in Electronics & Communication from National Institute of Engineering, Mysore and MS in Electrical Engineering from Arizona State University, Tempe. Outside work, he has a passion for writing in Kannada and English, and does a part-time gig of anchoring various events.
Biography: Hrishikesh Sathyavasu Murukkathampoondi: M.S. Hrishikesh is a Senior Principal Engineer at Arm Embedded Technologies. He has fifteen years of industry, and an additional seven years of academic experience in CPU micro-architecture research and development. He has worked in the areas of verification tools (RIS generators), CPU performance/power modelling, developing cycle-accurate simulators, characterizing workloads, and driving micro-architectural performance improvements. M.S. Hrishikesh received his B.E. degree in Electrical Engineering from the University of Madras . He received his M.S degree from the University of Texas at Austin and a Ph.D. in Computer Engineering.
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