Yu Bi

  • Assistant Professor
  • Electrical, Computer and Biomedical Engineering
  • Phone: 401.874.5846
  • Email: yu_bi@uri.edu
  • Office Location: Fascitelli Center for Advanced Engineering, Rm 410
  • Google Scholar
  • ResearchGate

Research

  • Hardware Security, Supply-Chain Security
  • Deep Learning Hardware Accelerator Design and Optimization
  • Security for Deep Neural Network, IoT/CPS
  • Hardware-Assisted Cyber and Software Security

Education

  • Ph.D., University of Central Florida, 2016
  • M.S., Electrical Engineering, New York University, 2012
  • B.S., Electronics and Information Engineering, Xidian University, 2010

Selected Publications

Khoshavi N, Sargolzaei S, Bi Y, Roohi A. Entropy-Based Modeling for Estimating Adversarial Bit-flip Attack Impact on Binarized Neural Network. 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 2021; 493-498.
Khoshavi N, Broyles C, Bi Y, Rooji A. Fiji-FIN: A Fault Injection Framework on Quantized Neural Network Inference Accelerator. 19th IEEE International Conference on Machine Learning and Applications, 2020; 1139-1144. doi:10.1109/ICMLA51294.2020.00183.
Khoshavi N, Roohi A, Broyles C, Sargolzaei S, Bi Y, Pan DZ. SHIELDeNN: Online Accelerated Framework for Fault-Tolerant Deep Neural Network Architectures. 2020 57th ACM/IEEE Design Automation Conference (DAC), 2020; 1-6. doi: 10.1109/DAC18072.2020.9218697.
Khoshavi N, Broyles C, Bi Y. Compression or Corruption? A Study on the Effects of Transient Faults on BNN Inference Accelerators. 2020 21st International Symposium on Quality Electronic Design (ISQED), 2020; 99-104. doi: 10.1109/ISQED48828.2020.9137006
Khoshavi N, Maghsoudloo M, Bi Y, Francois W, Jaimes L, Sargolzaei A. A Survey on Attack Vectors in Stack Cache Memory. Integration, the VLSI Journal, 2020; 72, 134-147. doi: 10.1016/j.vlsi.2020.02.004

Additional Links

LinkedIn