Rate My Professor Hoam Chung

Chung's research interests include model predictive control (MPC) theory and applications, autonomous miniature flyers, semi-infinite optimization problems, real-time system design and software/hardware implementation, autonomous unmanned systems such as UAVs, UGVs, and UUVs, rotorcraft dynamics, robotics, shared autonomy, human-drone interaction, flying drones in confined spaces, connected autonomous vehicles, and medical diagnosis from patient motion data. He supervises PhD students, accepting candidates in areas like human-drone interaction, human-swarm interaction, and connected autonomous vehicles, and leads student teams including the Monash Unmanned Aerial Systems (MUAS) and Monash Connected Autonomous Vehicles (MCAV). With 80 research outputs, including 33 journal articles, 43 conference papers, 2 papers, and 1 book chapter, his work has accumulated over 1,929 citations on Google Scholar. Prominent publications are 'Toward Robotic Sensor Webs: Algorithms, Systems, and Experiments' in Proceedings of the IEEE (2011), 'From Novice to Skilled: RL-Based Shared Autonomy Communicating with Pilots in UAV Multi-Task Missions' in ACM Transactions on Human-Robot Interaction (2025), 'Detecting early-stage Parkinson’s disease from gait data' in Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine (2023), 'Trochoids: Spirograph, Multi-agent Formation and Beyond' in Thinking Swarms (2025), and 'On the Optimal Detection of an Underwater Intruder in a Channel using Unmanned Underwater Vehicles' (2011). A member of IEEE, Chung contributes to advancements in autonomous systems.