Yu Bi

Dr. Yu Bi is an Assistant Professor in the Department of Electrical, Computer and Biomedical Engineering at the University of Rhode Island. His research focuses on hardware security, supply-chain security, and deep learning hardware acceleration. He holds a Ph.D. from the University of Central Florida (2016), an M.S. from New York University (2012), and a B.S. from Xidian University (2010).

His work emphasizes fault-tolerant neural network architectures, adversarial attack mitigation, and secure hardware design. Notable contributions include frameworks like SHIELDeNN and Fiji-FIN, addressing vulnerabilities in quantized neural networks and inference accelerators. His research bridges emerging transistor technologies with cybersecurity solutions.

Publications highlight trends in hardware-assisted cybersecurity, adversarial machine learning defense mechanisms, and the application of entropy modeling to analyze attack impacts. Ongoing studies explore post-Moore’s Law hardware innovations and backdoor attack countermeasures in large language models.