Yu BiAssistant ProfessorDepartment of Electrical, Computer and Biomedical Engineering University of Rhode Island Fascitelli Center for Advanced Engineering 410 Kingston, RI 02881 Phone: (401) 874-5846 Email: yu_bi (at) uri.edu |
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Short Bio
Yu Bi is an assistant professor in the Department of Electrical, Computer and Biomedical Engineering at The University of Rhode Island. Before joining URI, he was a Senior R&D Engineer at AMD GPU Center, where he was working on research and development for high-performance GPU chip. He received his Ph.D. degree from the Department of Electrical and Computer Engineering at the University of Central Florida in 2016. He received the B.S. degree in electronics and information engineering at Xidian University, Xian, China, in 2010, and the M.S. degree in electrical engineering at New York University, New York, NY, in 2012.
Research Interests
My current research interests focus on Hardware/Supply-chain Security, Hardware-assisted Cybersecurity, AI security, AI for Hardware.
Research Assistant Positions Available
I am currenly looking for self-motivated Ph.D./M.S. as well as Undergraduate students. Areas of interest include hardware security, cybersecurity, artificial intelligence, electronic design automation, and computer architecture. Prospective students should have experiences with programming skills, such as python, c/c++ and HDL. A solid background in aforementioned areas would be highly preferred. If you are interested, please send me an email including your CV.
Recent News
- 09/2020: Our paper "Entropy-Based Modeling for Estimating Adversarial Bit-flip Attack Impact on Binarized Neural Network" is accpeted by The 26th IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2021.
- 09/2020: Our paper "Fiji-FIN: A Fault Injection Framework on Qauntized Neural Network Inference Accelerator" is accpeted by The 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020.
- 03/2020: Our paper "SHIELDeNN: Online Accelerated Framework for Fault-Tolerant Deep Neural Network Architectures" is accpeted by The 57th IEEE/ACM Design Automation Conference (DAC), 2020. (acceptance ratio 23%)
- 02/2020: Our paper "Attack Vectors in Stack Cache Memory" is accepted by Integration, the VLSI Journal.
- 01/2020: Dr. Bi joins The University of Rhode Island as Tenure-Track Assistant Professor.
- 12/2019: Our paper "Compression or Corruption? A Study on the Effects of Transient Faults on BNN Inference Accelerators" is accepted by IEEE ISQED, 2020.