Personal details

Dr Timothy Molloy
Advance QLD Fellow
Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Robotics and Autonomous Systems
Discipline *
Artificial Intelligence and Image Processing, Electrical and Electronic Engineering
+61 7 3138 4343
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD LinkedIn

PhD (Queensland University of Technology), Bachelor of Engineering (Aerospace Avionics) (Queensland University of Technology)


Differential and Dynamic Game Theory, Optimal Control Theory, Inverse Optimal Control and Dynamic Games, Unmanned Aircraft Systems (UAS), Vision-Based Detect and Avoid, Autonomous Mid-Air Collision Avoidance, Statistical Signal Processing, Quickest Detection

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008


I am a Research Associate at QUT on industry-funded and ARC projects to investigate enabling signal processing and control technologies for autonomous mid-air collision avoidance and vision-based detect and avoid (DAA). I am the recipient of an Advance Queensland Early-Career Research Fellowship Safely Guiding Unmanned Aircraft Through Queensland Skies to develop novel control and guidance strategies for unmanned aircraft in potential collision scenarios. This fellowship is supported by Boeing Research and Technology Australia, QUT, and the Queensland State Government. More broadly, my research interests span the fields of control engineering, signal processing, information theory, and robotics. I have particular interest in the problems of robust detection and estimation, inverse optimal control, and inverse dynamic and differential game theory.

I received the B.E. (Aero Av) and Ph.D. degrees from QUT in 2010 and 2015, respectively. I was awarded a QUT University Medal in 2010 for exceptional academic performance in B.E. (Aero Av), and a QUT Outstanding Doctoral Thesis Award in 2016 for outstanding contribution to the field of study and excellence in higher degree research practice.

This information has been contributed by Dr Timothy Molloy.


For more publications by this staff member, visit QUT ePrints, the University's research repository.