Tim Molloy

Hi, I’m an engineering researcher and academic interested in decision-making, control, and inference under uncertainty, competition, and constraints for applications in robotics and other engineering domains. My research spans 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 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) embedded with Boeing Research & Technology - Australia. I received my PhD and bachelor’s degrees in engineering from QUT. I was awarded an Outstanding Doctoral Thesis Award for my PhD and a University Medal for my BEng.

Prospective Students: I am actively looking for 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.