Weijian Zhang
I am a third-year Ph.D. student at Purdue University, advised by Prof. Stanley H. Chan.
Research. My work lies at the intersection of computational imaging and signal processing. I focus on probabilistic modeling, compression, and reconstruction for single-photon LiDAR systems. Currently, I am developing forward models and inverse algorithms that account for hardware dead time and other high-flux nonlinear effects.
Previously. I received my M.S. in Electrical and Computer Engineering from the University of California, Los Angeles (UCLA) and my B.Eng. in Optoelectronic Information Science and Engineering from the University of Electronic Science and Technology of China (UESTC). At UESTC, I worked with Prof. Zhao Wang on optical coherence tomography (OCT) system development.
Outside research. I enjoy playing basketball 🏀, weight lifting 🏋️♂️, and—more recently—running 🏃♂️!
I am currently seeking a Summer 2026 internship in Lidar, Radar, exotic sensors, depth estimation, or related areas in computational imaging!