Zhican Zhou's research investigates on-chip laser technologies, heterogeneous photonic/memristor computing systems for AI acceleration, and secure hardware architectures for privacy-preserving data processing.
Biography
Zhican Zhou is a Ph.D. candidate in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST), where he is advised by Prof. Yating Wan, and conducting research in Integrated Photonics Laboratory (IPL) research group. Before joining KAUST, Zhican received his bachelor's degree (majoring in materials engineering) from Chongqing University (CQU) in 2019 and his master's degree (majoring in photonics) from the joint-cultivation program of Nankai University (NKU) and the National Center for Nanoscience (NCNST) in 2022, where he ranked in the top ~5% for both his undergraduate and postgraduate studies. He obtained numerous honors for his outstanding performance, including the First Price Scholarship, Outstanding Graduate of Chongqing University, and the Nankai University Freshman Scholarship.
He has contributed to 24 journal and conference papers, with representative first-/co-first-authored works in Nature Electronics, Nature Communications, Advanced Photonics, and eLight. He was also awarded the 2026 Tingye Li Memorial Scholarship for his contributions to integrated photonic computing and hardware-rooted security.
Expertise and Interests
Zhican's research focuses on integrated optoelectronic computing systems, hardware-aware neural network frameworks, and privacy-preserving hardware architectures.
Education
- Master of Science (M.S.)
- Photonics, Joint-cultivation program of Nankai University (NKU) and the National Center for Nanoscience (NCNST), China, 2022
- Bachelor of Engineering (B.Eng.)
- Materials engineering, Chongqing University (CQU, China, 2019
