Rate My Professor Donald Dansereau

Dr Donald Dansereau is a Senior Lecturer in the School of Aerospace, Mechanical and Mechatronic Engineering at the University of Sydney, leading the Robotic Imaging Lab within the Australian Centre for Field Robotics. He earned his PhD in Mechatronics Engineering from the University of Sydney in 2014 with a thesis on Plenoptic Signal Processing for Robust Vision in Field Robotics, an MSc in Electrical Engineering from the University of Calgary in 2004 where he received the Governor General’s Gold Medal, and a BSc in Electrical Engineering with Distinction from the same university in 2001. His research specializes in robotic imaging, merging computational imaging techniques with robotic vision to enhance perception in extreme environments such as underwater, space, and dynamic illumination conditions. Key contributions include task-driven joint optimization of camera hardware and adaptive control algorithms, introspective robotics for resilient perception, light field imaging, burst imaging, privacy-preserving vision, and physics-based simulation for robotic vision.

Dansereau's career includes a Postdoctoral Scholar position in the Stanford Computational Imaging Lab from 2016 to 2018, Postdoctoral Research Fellow at Queensland University of Technology's Australian Centre for Robotic Vision from 2014 to 2016, Research Associate and Lecturer at the University of Sydney's Australian Centre for Field Robotics from 2013 to 2014, and earlier roles at McGill University and industry positions in software development and vision systems. He has secured major grants including ARC Discovery Projects DP250103135 on Introspection for Resilient Robotic Perception (AUD$523k, 2025–2028) and DP150104440 on Photometric Imaging Model for Mobile Underwater Camera Design (AUD$323.5k, 2015–2018), NVIDIA Academic Grants for relightable radiance fields and physics-based simulation (2024–2025), and Ford Alliance funding for light field imaging in autonomous driving (AUD$274k, 2022–2026). Awards include Supervisor of the Year from the Sydney University Postgraduate Representative Association (2021), Best Paper at the Australasian Conference on Robotics and Automation (2014), Distinguished Posters at Stanford Center for Image Systems Engineering (2017, 2016), and School of Physics Research Award for Excellence in Research with Social Impact (2025). Notable publications encompass 'Principals and pupils of lenslet-based light field camera calibration' in Transactions on Pattern Analysis and Machine Intelligence (2026), 'Inherently privacy-preserving vision for trustworthy autonomous systems' in Journal of Responsible Technology (2024), and work on change detection using Gaussian splatting-based radiance fields presented at CVPR. With over 2,400 citations on Google Scholar, his innovations, such as the world's first single-lens wide field-of-view light field camera and integrations into Blender 4.3, significantly impact robotic perception and imaging technologies.