Matthew Gadd

Matthew Gadd is a Postdoctoral Research Assistant at the University of Oxford and a Junior Research Fellow at Kellogg College. He works in the Mobile Robotics Group (MRG) at the Oxford Robotics Institute (ORI), focusing on Robotics, Autonomous Vehicles, Computer Vision, and Machine Learning. His research addresses challenges in sensor systems, autonomous navigation, and robust place recognition in complex environments. He holds a DPhil in Engineering Science from Keble College, Oxford, and a BSc in Mechatronics Engineering from the University of Cape Town.

Education:

• PhD (DPhil) in Engineering Science, Keble College, University of Oxford (20XX–20XX)
• BSc in Mechatronics Engineering, University of Cape Town, South Africa

Research Projects:

• Sense Assess eXplain (SAX): Developing auditable autonomous vehicle systems
• Oxford Offroad Radar Dataset (OORD): Creating datasets for offroad navigation
• Autonomous biodiversity monitoring using long-term visual navigation

Publications Highlights:

Gadd’s recent work includes advancements in radar place recognition, uncertainty estimation, and LiDAR-based localization. His research often bridges theory and practice, with applications in autonomous vehicles and environmental robotics.

Awards:

• 2013 FirstRand Laurie Dippenaar Scholarship

Labs & Teams:

Active contributor to the Oxford Robotics Institute and Mobile Robotics Group, collaborating with Prof. Paul Newman and international research networks.