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About

Jonathan Leach is a researcher specializing in single-photon imaging, 3D sensing, and computational imaging systems, with a particular focus on advancing time-of-flight (ToF) depth sensing technologies. His work centers on single-photon avalanche diode (SPAD) arrays, pushing the boundaries of what these sensors can achieve in real-world applications ranging from autonomous vehicles and robotics to augmented reality and fluorescence lifetime microscopy. Leach's most influential contribution, "High-speed 3D sensing via hybrid-mode imaging and guided upsampling" (2020, 88 citations), introduced an innovative framework combining hybrid imaging modes with intelligent upsampling techniques to dramatically improve temporal resolution in depth sensing systems. This work has become a cornerstone reference in the field. His subsequent research has extended these ideas into video super-resolution for single-photon LiDAR systems and high-speed object detection, demonstrating both practical versatility and technical depth. His 2021 work on 3D-stacked SPAD image sensors further highlights his contributions to hardware-software co-design in photon-counting systems. With nearly 165 total citations across his key publications, Leach has established himself as a meaningful contributor to next-generation imaging technology, helping bridge the gap between cutting-edge photon-detection hardware and the computational intelligence needed to unlock its full potential.