Title: Design for Safe and Reliable Autonomous Systems
Moderator: Dr. Zhimin Xi (Rutgers, The State University of New Jersey, US)
Description: Autonomous systems in engineering, especially in manufacturing systems automation, are becoming increasingly popular. As more and more autonomous systems are expected to enter our daily lives in the future, such as autonomous vehicles and personalized additive manufactured products, safety, quality, and performance reliability are major concerns.
Common properties of autonomous systems, particularly those involving human interactions, include complex operation conditions, endless corner cases, and a high degree of machine learning or AI model employment. Each of these properties makes system design challenging, creating significant uncertainties in addition to the design complexity.
While machine learning or AI models have been extensively used in autonomous vehicles for perception and navigation system design, many research problems remain unsolved. For example, how reliable are these AI models in real operating conditions, and how can the system be designed to ensure reliable operation even when the AI model is incorrect? Similarly, how can accurate machine learning or AI models be built for additive manufacturing machines with unknown process uncertainty, and how can these models be used to design better parts or products with guaranteed quality and lifetime reliability for personalized products? These questions are related not only to the theoretical foundation of various AI models but also to their applications in autonomous vehicles and additive manufacturing.
This panel includes top experts from AI modeling, autonomous vehicles, and additive manufacturing from both industry and academia. We are excited to have you join us for an engaging and thought-provoking discussion.
Dr. Zhimin Xi
Rutgers, The State University of New Jersey, US
Dr. Qi Hommes
Mr. Chris Robinson
Senior Product Manager
Dr. Heng Huang
Univ. of Maryland, College Park
Dr. Rajiv Malhotra
Rutgers University, New Brunswick
Qi Hommes is the Director of System Safety Engineering and Analysis within the System Design and Mission Assurance (SDMA) department at Zoox. SDMA constructs the Safety Case and validates that Zoox vehicles are safe to operate within the scope of each milestone. Qi joined Zoox in March 2021 from Waymo. She was the Head of System Safety team at Waymo, where she played an instrumental role in the Waymo One launch. Qi's career spanned across private industry, government, and academia. Her experience includes systems engineering within traditional automotive companies (Ford and GM), Principal Investigator for the US Department of Transportation leading NHTSA-sponsored automotive safety research, and Research Scientist at MIT teaching and supervising student theses. Qi holds a PhD in Mechanical Engineering from MIT, specialized in the theory and methodology for the design and development of large complex systems.
Chris Robinson is an Ansys Additive Manufacturing and Metal Forming Senior Product Manager at Ansys. He started his career of AM research when designing satellite components in 2004. He has been in a manufacturing research environment for 18 years at Sandia National Laboratories, Utah State University, NAVAIR, Boeing, 3DSIM and Ansys. Chris has led many R&D product development projects ranging from fundamental research (TRL 1) to production readiness for commercial application (TRL 9). He has worked on material, process, application, and software development efforts utilizing, metal, polymer, and direct-write processes. He has experience in managing projects ranging from semi-autonomous vehicles, to UAVs, to components for commercial aircraft. His current focus is to help the Additive Manufacturing and Metal Forming industries make a positive difference in the lives of individuals and the environment, by guiding software solutions that help them address their real day to day product development problems through process simulation.
Dr. Heng Huang is John A. Jurenko Endowed Professor in Electrical and Computer Engineering at University of Pittsburgh, and also Professor in Biomedical Informatics at University of Pittsburgh Medical Center. Dr. Huang received the PhD degree in Computer Science at Dartmouth College. His research areas include machine learning, artificial intelligence, and biomedical data science. Dr. Huang has published more than 280 papers in top-tier conferences and many papers in premium journals, such as ICML, NeurIPS, KDD, IJCAI, AAAI, ICCV, CVPR, Nature Machine Intelligence, Journal of Machine Learning Research, IEEE TPAMI, etc. As PI, Dr. Huang currently is leading NIH R01s, U01, and multiple NSF funded projects on machine learning, data science, AIoT, smart healthcare, and cyber physical system. He is a Fellow of AIBME and served as the Program Chair of ACM SIGKDD Conference 2020. He will be the inaugural Brendan Iribe Endowed Professor in Computer Science at the University of Maryland College Park.
Dr. Rajiv Malhotra got his PhD in Mechanical Engineering from Northwestern University and joined Rutgers University in 2017. His research interests lie in the science-driven innovation and control of additive manufacturing processes across multiple length scales and application sectors. He is an associate editor for SME Manufacturing Letters and SME Journal of Manufacturing Processes, a guest-editor for ASME and SME journals, chair of the Micro-Nanomanufacturing track chair in the ASME Manufacturing Science and Engineering Conference, and a scientific committee member in the North American Manufacturing Research Conference. His research and service efforts were recognized by the SME Young Manufacturing Engineer Award and the SME Associate Editor of the Year Award.