Tim Molloy

I am a Senior Lecturer in the Department of Electrical and Computer Systems Engineering and Monash Robotics at Monash University, Australia.

My research focuses on the foundations of robust, reactive, and interpretable intelligent autonomous systems. I combine control and information theory with artificial intelligence and machine learning to understand how machines and other agents can learn objectives, determine what information to acquire, and make decisions in uncertain environments.

My recent work has focused on inverse optimal control, partially observed Markov decision processes (POMDPs), quickest change detection, dynamic and differential game theory, and event-based sensing and perception.

Prior to joining Monash, I was a Senior Lecturer in Mechatronics in the School of Engineering at the Australian National University (ANU); a Research Fellow at the University of Melbourne; and an Advance Queensland Research Fellow at the Queensland University of Technology (QUT), where I was embedded with Boeing Research & Technology Australia. I received the B.E. degree in Aerospace Avionics and the Ph.D. degree in Robotics and Autonomous Systems from QUT.

Prospective Students: I am recruiting PhD and project students. Please email me if you are interested in working on robotics, autonomous systems, control, or related areas.