He Zhezhi

He Zhezhi is a faculty member in the Department of Computer Science at Shanghai Jiao Tong University. His research interests include neuromorphic computing, secure and efficient deep learning, and electronic design automation. He holds a PhD in Electrical Engineering from Arizona State University, Tempe, and a Master's in Electrical and Computer Engineering from Oregon State University, Corvallis. He also earned a Bachelor's in Information Engineering from Southeast University, Nanjing. He is actively involved in academic service, serving on technical program committees and as a reviewer for various journals and conferences. His personal website provides further details on his research and publications.

Zhezhi He is an Associate Professor at Shanghai Jiao Tong University, specializing in Intelligent Computing, Neuromorphic Computing, Computer Architecture, and EDA. His research focuses on enhancing the robustness and efficiency of neural networks through techniques such as bit-flip attacks, adversarial weight attacks, and noise injection. He explores methods to defend against these threats while improving model performance. His work also includes designing energy-efficient accelerators for neural networks, such as CMP-PIM and MRIMA, and optimizing deep learning models through quantization and pruning. He has contributed to advancing secure and efficient neural network architectures for various applications.