Recorded on June 1st @ 10 am ET – Conference registrants can access the recording in the online conference program between June 26 and July 9.
Reliability, more than anything else, is the key requirement for autonomous machines. Although the commercialization of autonomous machines is a thriving in recent years, a systematic understanding of the reliability problems in autonomous machines is still largely missing. In this panel, we invite top experts from both the industry and academia to focus on autonomous machine reliability from different perspectives, including sensing and perception reliability, software reliability, computing system reliability, as well as circuit level reliability. It is our hope that this panel serves as a foundation upon which a systematic understanding framework of autonomous machine reliability can be defined. Through this panel, the general audience can learn about the challenges and opportunities in autonomous machine reliability, the audience from the research community can leverage the information delivered in this panel for their research in autonomous machine reliability, the audience from the industry can apply the techniques discussed in this panel to their products under development.
Format: Participate in a livestream discussion with a panel of experts from the industry and academia in autonomous machines who will provide their perspectives, observations on real-world reliability problems and solutions, and how we can apply these technologies in real life. Each expert will deliver a 10-minute presentation, followed by a 20-minute discussion and Q&A session.
Dr. Shaoshan Liu is founder and CEO of PerceptIn Inc, a company focusing on providing visual perception solutions for robotics and autonomous driving. Shaoshan Liu’s technical research focuses on Autonomous Driving technologies and Robotics. He has published over 100 research papers, 40 U.S. patents, and over 150 international patents on autonomous driving technologies and robotics. Dr. Shaoshan Liu have published three books on autonomous driving technologies “Creating Autonomous Vehicle Systems (Morgan & Claypool)” and “Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach (Wiley – IEEE)”. Dr. Shaoshan Liu was a founding member of Baidu USA, where he built the Autonomous Driving Systems team, and performed R&D work at LinkedIn, Microsoft, Microsoft Research, INRIA, Intel Research, and Broadcom. He is a senior member of IEEE, a Distinguished Speak of the IEEE Computer Society, a Distinguished Speaker of ACM, and a founder of the IEEE Special Technical Community on Autonomous Driving Technologies. Dr. Shaoshan Liu received Master of Public Administration (MPA) from Harvard Kennedy School, Ph.D. in Computer Engineering from University of California, Irvine.
Prof. Cecilia Metra is a full professor at the University of Bologna, Italy, where she has worked since 1991, and from which she received a PhD in electronic engineering and computer science. In 2002, she was visiting faculty consultant for Intel Corporation. Metra has been a member of the IEEE Computer Society (CS) Board of Governors since 2013, and of the IEEE Council on Electronic Design Automation Board of Governors since 2015. She was 2017 vice president of CS Member and Geographic Activities, and served as CS Secretary in 2015 and Vice President for Technical and Conference Activities in 2014. Metra was editor in chief of Computing Now and associate editor in chief of IEEE Transactions on Computers. She is on the IEEE The Institute Advisory Board as well as on editorial boards of several journals, including IEEE Design&Test, Journal of Electronic Testing, and Design Automation for Embedded Systems. She served as first vice chair of the Test Technology Technical Council (TTTC), chair of the TTTC Educational Program, and chair of the TTTC Communication Group. She contributed to numerous IEEE international conferences/ symposia/workshops as general/program chair/co-chair (14 times), vice-general/program chair/co-chair (6 times), topic/track chair (34 times), and technical program committee member (91 times). Metra has published extensively (185+ papers) on design for test and reliability of integrated circuits and systems. Her research has received public and private funding (from companies such as Intel Corporation, STMicroelectronics, etc.) at national and international levels. Her involvement with industry was also recognized by a joint patent with Philips Research. She has received two Meritorious Service Awards and five Certificates of Appreciation from the IEEE CS. Metra is an IEEE Fellow, IEEE CS Golden Core Member, and a member of the IEEE Honor Society IEEE-HKN.
Prof. Yuhao Zhu is an Assistant Professor in the Computer Science Department and an affiliated faculty in the Goergen Institute for Data Science at University of Rochester. He graduated from The University of Texas at Austin, and previously held visiting researcher positions at Arm Research and Harvard University. His current research interests are applications, algorithms, and systems for visual computing as well as safe computing systems in the AI era.
Dr. Bo Yu
received the B.S. degree in electronic technology and science from Tianjin University, Tianjin, China, in 2006, and the Ph.D. degree from the Institute of Microelectronics, Tsinghua University, Beijing, China, in 2012. He is currently the CTO of PerceptIn, Fremont, CA, USA, a company focusing on providing visual perception solutions for robotics and autonomous driving. His current research interests include algorithm and systems for robotics and autonomous vehicles. Dr. Yu is a Founding Member of the IEEE Special Technical Community on Autonomous Driving. He is a senior member of IEEE.
Zishen Wan is a Ph.D. student at Georgia Tech, advised by Prof. Arijit Raychowdhury at Integrated Circuits and Systems Research Lab. He has general research interests in VLSI, computer architecture, and edge intelligence, with a focus on designing efficient and reliable computing for autonomous machines. Before coming to Georgia Tech, he received the M.S. in Electrical Engineering from Harvard University in 2020, advised by Prof. Vijay Janapa Reddi at Edge Computing Lab, and collaborated with Prof. David Brooks and Prof. Gu-Yeon Wei at VLSI-Arch Lab. He received a B.Eng. in Electrical Engineering from Harbin Institute of Technology in 2018.
