Zhishan Guo
Associate professor – Department of Computer Science – North Carolina State University
Invited Talk: Resilient and Efficient Real-Time Intelligent Systems via Mixed Criticality
Abstract:
In the era of CPS (Cyber Physical Systems) and IoT (Internet of Things), Intelligent systems are often safety-critical (with strict temporal constraints) and are often battery-served. This talk discusses our recent and ongoing efforts in Mixed-Criticality design and scheduling analysis of such systems. Such design provides the necessary resiliency and resource efficiency. With various engineering applications, those solutions also shed light on handling challenges in security isolation, system coordination, prediction & control, etc., of modern real-time Cyber-Physical Systems.
Biography: Zhishan Guo is an associate professor in the Department of Computer Science at North Carolina State University. He received the Bachelor’s degree (with honor) in Computer Science and Technology from Tsinghua University, China, in 2009, the M. Phil. degree in Mechanical Automation and Engineering from the Chinese University of Hong Kong, Hong Kong, in 2011, and the Ph.D. degree in Computer Science from the University of North Carolina at Chapel Hill. His current research interests lie in real-time scheduling theory, machine learning theory, and their applications to Cyber-Physical Systems. He has received best paper, best student paper, and outstanding paper awards from prestigious conferences such as RTSS and EMSOFT.