Tim Molloy

Hi, I’m an engineering researcher and academic with interests in decision and control under uncertainty, competition, and information constraints for robotics and related domains. My research explores topics at the intersection of systems and control, information theory, artificial intelligence, and machine learning. 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.

I am currently a Senior Lecturer in the Department of Electrical and Computer Systems Engineering at Monash University, Australia. Prior to joining Monash, I was a Senior Lecturer (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 actively recruiting PhD and project students. Current open problems include how to perform inverse optimal control online in real time; how to solve new classes of POMDPs for robot path planning and perception; and how to process event data from event-based cameras and sensors with provably optimal and/or robust algorithms. Please email me if you are interested.