Zixiang Wei is a PhD candidate at the University of Warwick, where he focuses on cutting-edge research in intelligent perception and robust AI models, particularly their applications in smart grids and intelligent transportation systems. Prior to his PhD, Wei worked as a research assistant at the Hong Kong University of Science and Technology for 18 months, gaining valuable experience in computational modeling and AI-driven systems. Additionally, he serves as a remote research fellow at Tongji University, further broadening his academic expertise through collaborative projects across institutions.

With a deep understanding of both high-level and low-level computer vision problems, Wei has contributed significantly to the field, addressing challenges such as image enhancement, object detection, and scene understanding. His work spans diverse AI applications in real-world systems, with a focus on enhancing the efficiency, resilience, and intelligence of critical infrastructures. Wei has published several papers in prominent journals, including TAI, TASE, TSG, and TPD, solidifying his presence in the academic community.