|0:00 - 0:45 AEST|
|9:00 am - 9:45 am CDT|
|16:00 - 16:45 CEST|
|14:00 - 14:45 UTC|
Keynote 2 — Toward AI-enhanced Design of Resilient Cyber-Physical Systems: a Journey from Inception to Present Times
Toward AI-enhanced Design of Resilient Cyber-Physical Systems: a Journey from Inception to Present Times
by Bruno Sinopoli, Washington University in St. Louis
Cyber-Physical Systems have been instrumental in bringing together talented researchers from different domains to focus their attention on developing a paradigm capable of addressing modern real-world system design issues, as separation of concerns does not constitute a realistic assumption, due to the close interplay of sensing, communication, computing and decision making. As a result, system-level research has become more relevant and impactful. In this talk I will provide a personal view of the progress made in CPS since inception and provide a perspective on where the field is headed. In particular I will focus on the issue of guaranteeing resilience and trustworthiness while leveraging modern data driven methods in the presence of large uncertainties and adversarial actions.
Bruno Sinopoli is the Das Family Distinguished Professor at Washington University in St. Louis, where he is also the founding director of the center for Trustworthy AI in Cyber-Physical Systems and chair of the Electrical and Systems Engineering Department. He received the Dr. Eng. degree from the University of Padova in 1998 and his M.S. and Ph.D. in Electrical Engineering from the University of California at Berkeley, in 2003 and 2005 respectively. After a postdoctoral position at Stanford University, Dr. Sinopoli was member of the faculty at Carnegie Mellon University from 2007 to 2019, where he was a professor in the Department of Electrical and Computer Engineering with courtesy appointments in Mechanical Engineering and in the Robotics Institute and co-director of the Smart Infrastructure Institute. His research interests include modeling, analysis and design of Resilient Cyber-Physical Systems with applications to Smart Interdependent Infrastructures Systems, such as Energy and Transportation, Internet of Things and control of computing systems.