Gang Qu received his B.S. in mathematics from the University of Science and Technology of China (USTC) and Ph.D. in computer science from the University of California, Los Angeles (UCLA). He is currently a professor in the Department of Electrical and Computer Engineering at the University of Maryland, College Park, where he leads the Maryland Embedded Systems and Hardware Security Lab (MeshSec) and the Wireless Sensor Laboratory. His research activities are on trusted integrated circuit design, hardware security, energy-efficient system design, and wireless sensor networks. He has focused recently on applications in the Internet of Things, cyber-physical systems, and machine learning. He has published more than 250 conference papers and journal articles on these topics. He has won the best paper awards in the 10th ACM SIGMOBILE International Conference on Mobile Computing and Networking (MobiCom'01), 17th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP'06), 4th IEEE Asian Hardware Oriented Security and Trust Symposium (AsianHOST’19) and 33rd IEEE International System-on-Chip Conference (SOCC’20). Dr. Qu is an enthusiastic teacher. He has taught and co-taught various security courses, including a popular MOOC on Hardware Security through Coursera. Dr. Qu has served 17 times as the general or program chair/co-chair for international conferences and workshops. He was awarded the ACM Recognition of Service Awards three times (2005, 2006, and 2019). He is currently on the editorial board of IEEE TCAD, TETC, ACM TODAES, JCST, Integration, and HSS. Dr. Qu is a fellow of IEEE.
Special Session (Research Track)
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Presented In-Person
Research Manuscript
AI/ML System Design
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