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About

Suren Jayasuriya is a computational imaging researcher whose work spans depth sensing, non-line-of-sight imaging, adaptive illumination, and software-defined camera systems. His research sits at the intersection of optics, signal processing, and machine learning, with a particular focus on pushing the boundaries of what imaging systems can perceive beyond conventional constraints. Jayasuriya's most recognized contribution, "Depth Fields: Extending Light Field Techniques to Time-of-Flight Imaging" (2015, 15 citations), bridges multiple depth acquisition paradigms to address the individual limitations of light field and time-of-flight methods. His work on slope disparity gating introduced a novel active illumination framework enabling selective imaging of surfaces at specific geometries—a capability valuable for robotics and autonomous vehicles. He has also advanced non-line-of-sight imaging using adaptive lighting and data-driven localization, and explored machine learning for unconventional optics like pinhole cameras in his "Deep Camera Obscura" work. More recently, Jayasuriya has championed the concept of software-defined imaging—a unifying framework bridging hardware sensing and visual computing algorithms—and investigated NeRF-based radar reconstruction. His diverse portfolio reflects a researcher continuously expanding imaging science into challenging, real-world domains with tangible applications in robotics, surveillance, and autonomous systems.