Matt is a Stipendiary Lecturer in Engineering Science at Keble, a Junior Research Fellow at Kellogg, and a Postdoctoral Research Assistant in the Mobile Robotics Group and Oxford Robotics Institute.
Matt’s research centres on robustly intelligent sensing which is nevertheless introspective where unavoidably fallible.
He therefore develops techniques for auditable action from autonomous vehicles in formidable environments.
Specifically, Matt works on navigation and scene understanding, including mapping, localisation, detection, and segmentation. Across all of these autonomy-enabling tasks, he is particularly interested in bolstering vision and LiDAR and is in parallel an enthusiastic adopter of scanning radar.
Matt won the FirstRand Laurie Dippenaar and Oppenheimer Memorial Trust scholarships (2013) to pursue his doctoral research, which was concerned with distributed but concerted action amongst fleets of intelligent mobile machines which are navigating visually around a changing world.
Matt teaches across the first and second year, including in Mathematics (P1/A1) for Ordinary Differential Equations, Time-frequency Analysis, Partial Differential Equations, and Probability and Statistics as well as Electronic and Information Engineering (P2/A2) for Components and Circuits, Active Devices and Control Theory.