Connor Malone

Dr. Connor Malone is a Research Fellow at the QUT Centre for Robotics, specializing in autonomous systems and computer vision. He holds a Bachelor of Engineering (Mechtronics) with Honours and a PhD in Robotics from Queensland University of Technology. His research focuses on improving visual place recognition (VPR) for autonomous vehicles in challenging conditions such as adverse weather, while also enhancing system resilience against adversarial attacks.

Education:

• Bachelor of Engineering (Mechtronics)(Hons) – Queensland University of Technology
• Doctor of Philosophy (PhD)(Robotics) – Queensland University of Technology

Research Interests:

• Deployable technologies for autonomous vehicles
• Robust feature-based techniques in adverse conditions
• Dynamic modulation of VPR algorithms
• Adversarial robustness in localization systems

His work has been applied in collaborations with Amazon, Ford, and the Centre for Advanced Defence Research to improve scene understanding and localization reliability.

Projects:

• Adversity- and Adversary-Robust Adaptive Positioning Systems with Integrity
• Contextually Informed Joint Perception and Localization for Autonomous Vehicles

Connor's current research emphasizes enhancing safety of autonomous vehicles in Australian road conditions, particularly water-on-road detection and analysis.