Nirmal Saxena

About Nirmal Saxena

Nirmal R. Saxena is currently a distinguished engineer at NVIDIA and is responsible for high-performance and automotive resilient computing. From 2011 through 2015, Nirmal was associated with Inphi Corp. as CTO for Storage & Computing and with Samsung Electronics as Sr. Director working on fault-tolerant DRAM memory and storage array architectures. During 2006 through 2011, Nirmal held roles as a Principal Architect, Chief Server Hardware Architect & VP at NVIDIA. From 1991 through 2009, he was also associated with Stanford University’s Center for Reliable Computing and EE Department as Associate Director and Consulting Professor respectively. During his association with Stanford University, he taught courses in Logic Design, Computer Architecture, Fault-Tolerant Computing, supervised six PhD students and was co-investigator with Professor Edward J. McCluskey on DARPA’s ROAR (Reliability Obtained through Adaptive Reconfiguration) project. Nirmal was the Executive VP, CTO, and COO at Alliance Semiconductor, Santa Clara. Prior to Alliance, Nirmal was VP of Architecture at Chip Engines. Nirmal has served in senior technical and management positions at Tiara Networks, Silicon Graphics, HaL Computers, and Hewlett Packard. Nirmal received his BE ECE degree (1982) from Osmania University, India; MSEE degree (1984) from the University of Iowa; and Ph.D. EE degree (1991) from Stanford University. He is a Fellow of IEEE (2002) and was cited for his contributions to reliable computing.

Lee Harrison

About Lee Harrison

Lee Harrison is Marketing Manager for Automotive IC Test Solutions at Siemens EDA. He has over 20 years of industry experience with the Mentor Tessent products. Before joining the product marketing team, he managed the worldwide DFT consulting group and as part of this role has been involved in the specification of many new test features and methodologies enabling Mentor customers to deliver high quality DFT solutions into their products. With a focus on Automotive, Lee has been working with a wide range of automotive IC design companies to ensure that the current and future DFT requirements of Mentor’s automotive customers are understood and met. Lee received his BEng in MicroElectronic Engineering from Brunel University London in 1996.

James Herman

About James Herman

Jimmy Herman is a graduate student in the Master’s in Computational Data Science program at CMU. A credentialed actuary and former NFL athlete, Jimmy is now applying his passion for artificial intelligence in the domain of autonomous racing. He is the founder of Carnegie Mellon University's Roborace team and is building the next generation of self-learning autonomous agents that learn competitive racing strategies. He is excited to lead his team and is looking to bring this new technology to racetracks around the world in the international Roborace racing series.

Sweta Mehta

About Sweta Mehta

Sweta Mehta has over 13 years of experience working in the Information Technology and Automotive industry. She has deep knowledge in Automotive product development, embedded software development, autonomous and connected vehicle architecture, vehicle safety and security. As Domain Consultant at Tata Consultancy Services, Sweta is responsible to design architecture for autonomous and connected vehicle features for Car OEMs and identifying and designing futuristic solutions for Autonomous vehicle development.

Srijani Dey

About Srijani Dey

Srijani is one among 21 Distinguished Technologist in DXC, leads business transformation initiatives, delivers strategic technology roadmaps and heads a Center of Excellence to accelerate customers’ modernization journeys. One of her primary focus areas is taking Auto customers through the journey of ADAS and providing thought leadership around simulation based testing, automation of verification & validation techniques to accelerate achieve lower disengagement rates, and building highly scalable & performant AI based data and compute platforms. She has received an ‘Award for Technical Excellence’ for her contribution to large scale implementations, has patent-pending solutions and written several white papers that are among the top 3 most downloaded papers in DXC.

Aditya Sharma

About Aditya Sharma

Aditya Sharma is a senior program manager at Microsoft and leads the company’s strategy for the autonomous driving startup space. He started the Microsoft for Startups: Autonomous Driving program to help early stage AV startups scale up and go to market faster. He previously led Microsoft Garage’s Deep Learning and Robotics chapter, a group focused on simulation and reinforcement learning research for autonomous driving. Aditya holds a masters degree in Robotics from Carnegie Mellon University.