Zheng Gao

Zheng Gao is a Lecturer in the School of Electronic Engineering and Computer Science at Queen Mary University of London, based in Room Eng 152 of the Engineering building. He teaches the undergraduate module ‘Artificial Intelligence,’ covering problem formulation, search algorithms, logic systems, probabilistic reasoning, and decision theory.

His research centers on Artificial Intelligence with specific focus areas in Computer Vision and Machine Learning. Recent work explores self-supervised representation learning techniques for facial analysis and cross-context feature integration, while earlier research addressed real-time object tracking for UAVs and 5G-enabled systems.

Publications demonstrate a consistent trajectory in visual intelligence systems, evolving from sparse feature learning for tactile internet applications (2019) to advanced self-supervised methods for facial and contextual representation (2024).