Abstract

Autonomous vehicles (AVs) are considered promising to save lives, prevent injuries, and reduce costs associated with car accidents. However, to accomplish these in practice, safety and reliability are fundamental goals of computing system and architecture design. In this talk, I will go through our recent exploration and lessons learned across the stack of AV applications development and characterization, system and architecture level design, and safety modeling and testing methodologies. We show that substantial research is yet to be done in order to achieve safe and reliable autonomous vehicle system design.

Bio

Jishen Zhao is an Associate Professor in the Computer Science and Engineering Department at University of California, San Diego. Her research is at the boundary of computer architecture and systems, particularly on memory systems, machine learning for systems, and reliability. Before joining UCSD, she was an assistant professor at UCSC and a research scientist at HP Labs. She is a recipient of NSF CAREER award, AWS AI Amazon Research Award (ARA), many best paper awards, and a member of MICRO Hall of Fame.