Qizhou Wang
- Ph.D. Student, Electrical and Computer Engineering
- M.S., Electrical and Computer Engineering
- Visiting Student (former), Primalight Laboratory
Qizhou Wang research focuses on advancing optical sensing, nanophotonics, and intelligent computational imaging.
Biography
Qizhou Wang is a Ph.D. candidate in Electrical and Computer Engineering (ECE) at King Abdullah University of Science and Technology (KAUST). During his Ph.D. studies, he received CEMSE Division Dean’s List Award. He received his B.S. degree in Communication Engineering from University of Electronic Science and Technology of China (UESTC) in 2020 and M.S. degree in Electrical and Computer Engineering from King Abdullah University of Science and Technology (KAUST) in 2021. He dedicated his doctoral work to integrating nanophotonics with machine learning to create smarter imaging hardware as a member of the Primalight Laboratory research group under the supervision of Professor Andrea Fratalocchi.
Research Interests
Qizhou’s vision is centered on providing the multimodal raw data necessary to fuel the next generation of artificial intelligence. This commitment to innovation extends beyond the lab; as a co-founder of a startup specializing in hyperspectral imaging solutions, he is actively translating complex scientific breakthroughs into practical, real-world tools. By merging inverse design with computational imaging, he is building the foundational hardware that will allow machine vision to see further, deeper, and more intelligently.
Awards and Distinctions
- Dean's List Award, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), 2025
Education
- Master of Science (M.S.)
- Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2021
- Bachelor of Science (B.S.)
- Communication Engineering, University of Electronic Science and Technology of China (UESTC), China, 2020
