Rate My Professor Wen-Hua Chen

Professor Chen's research specializations include fundamental control theory for highly automated systems (Goal-Oriented Control Systems framework), advanced control (nonlinear, robust, disturbance observer-based, model predictive control), signal processing (computer vision, data fusion), and autonomous system technologies (autopilot, navigation, collision avoidance, path planning, situational awareness, decision making under uncertainty). Applications cover agriculture and environmental monitoring, disaster management, and safety verification for autonomous vehicles. With over 350 publications and more than 20,000 citations, key works include "AI meets UAVs: a survey on AI empowered UAV perception systems for precision agriculture" (Neurocomputing, 2023), "Perspective View of Autonomous Control in Unknown Environment: Dual Control for Exploitation and Exploration vs Reinforcement Learning" (Neurocomputing, 2022), and "Dual control for exploration and exploitation in autonomous search" (Automatica, 2021). He has received the EPSRC Established Career Fellowship (2020–2025), Changjiang Scholar by the Ministry of Education of China (2014), Charles Shape Beecher Prize (2013), FIEEE (2018), FIET (2013), FIMechE (2015), and FHEA (2003). Professor Chen delivers invited lectures at universities worldwide and serves on the EPSRC Peer Review College, IEEE Technical Committee on Aerospace Control, and editorial boards including IEEE Transactions on Intelligent Vehicles.