Ph.D. Student, started Sep. 2019
B.S. Xi’an Polytechnic University, and M.S. Peking University
During the undergraduate studies, Shiqi Zhao majored in applied physics. During the master years, he specialized in integrated circuits and intelligent systems. He focused on energy-efficient algorithms and neuromorphic digital circuits research.
Shiqi Zhao is particularly interested in deep learning algorithm, computer architecture and digital circuit design. He is following his passion to do research on energy-efficient algorithm and hardware co-design for bio-medical signal processing. Now, his project aims to build a system on chip based on software and hardware co-design for epileptic seizure prediction.
 Zhao S, Yang J, Xu Y, et al, "Binary Single-Dimensional Convolutional Neural Network for Seizure Prediction", 2020 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, 2020: 1-5.LINK
 Xu Y, Yang J, Zhao S, et al, "An End-to-End Deep Learning Approach for Epileptic Seizure Prediction", 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), IEEE, 2020: 266-270.LINK