Trusted and Resource-Aware Cyber-Physical Systems
Application domains include automotive systems (autonomous and electric vehicles), robotics, 5G networks, avionics, transportation systems, and Internet of Things.
A cross-layer methodology is taken, considering from application software interacting with physical dynamics, to programming languages, operating systems, and hardware platforms. The focus is on timing predictability and resource efficiency.
Extensively using fuzzy techniques. For example, the recently developed tool has discovered 16 previously unknown vulnerabilities in embedded firmware, which have been reported to the upstream product vendors. 7 have been assigned unique CVE identifiers in the U.S. National Vulnerability Database.
Moving from FlexRay to time-sensitive networks (TSN).
Emphasizing on multi-processor heterogeneous architectures – a trend in the real-time systems research.
Applied throughout the layers.
Dr. Chang obtained his PhD from the Technical University of Munich with Summa Cum Laude (Highest Distinction) in 2017. He won the Best Dissertation Award in the Department of Electrical and Computer Engineering, TUM in 2018 (one out of 80+ candidates). The supervisor is Samarjit Chakraborty, Chair of Real-Time Computer Systems (now William R. Kenan, Jr. Distinguished Chair Professor with UNC Chapel Hill). The second supervisor is Anuradha Annaswamy, Director of Active Adaptive Control Lab, MIT, President-Elect of IEEE Control Systems Society. His bachelor degree was from Nanyang Technological University, Singapore, with First Class Honors.
Dr. Chang currently holds a permanent faculty position. He used to work in Infineon as an engineer on automotive microcontroller design and verification. His research is in close collaboration with the industry, such as Bosch, General Motors, Rolls-Royce, and DLR (German Aerospace Center).
Dr. Chang has published a book titled 'Resource-Aware Automotive Control Systems Design: A Cyber-Physical Systems Approach' with Foundations and Trends in Electronic Design Automation. He has published three book chapters, all with Springer. He has published more than 20 papers in top-tier venues, such as Proceedings of the IEEE, RTSS, DAC, EMSOFT, RTAS, IEEE TCAD, ACM TCPS, DATE, CODES+ISSS, ICCAD, LCTES, etc. He was the Best Paper Nominee of CODES+ISSS 2013, DATE 2019, and DATE 2020, and won the Best Paper Award of RTCSA 2017.
Dr. Chang is the TPC member of RTSS 2018-2019, DAC 2019-2020, DATE 2019-2020, LCTES 2019, CODES+ISSS 2019, EMSOFT 2019, the Session Chair of DAC 2018, DATE 2019-2020, and LCTES 2019, and the Track Chair of ICESS 2019, COINS 2019, and Euromicro DSD 2020. He is an associate editor of the Elsevier journal Microprocessors and Microsystems: Embedded Hardware Design, and an invited editor of the Elsevier Journal of Systems Architecture: Embedded Software Design and IEEE Consumer Electronics Magazine. Dr. Chang is also serving on the admission committee of the NTU-TUM joint Master Program.
Dr. Chang is interested in taking new PhD students with background not only in computer science and engineering, but also control engineering, IC design, and mathematics. Candidates please directly write to firstname.lastname@example.org with a CV.