Atul Ingle

University of Wisconsin–Madison, Portland State University

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About

Atul Ingle is a leading researcher in computational imaging, with a focus on single-photon sensing and low-light scene reconstruction. His work pushes the boundaries of how digital cameras capture and interpret visual information in extreme conditions. Ingle’s most-cited paper, “Passive Inter-Photon Imaging” (2021, 35 citations), introduces a novel paradigm that moves beyond traditional pixel intensity measurement. Instead of converting light into a fixed binary value, his method leverages the timing of individual photon detections to reconstruct images with vastly improved dynamic range and performance in photon-starved environments. This breakthrough directly addresses the fundamental limitations of conventional sensors. More recently, in “Panoramas from Photons” (2023, 4 citations), Ingle tackles the dual challenge of high-speed motion and low illumination—critical for applications in augmented reality, drone navigation, and autonomous robotics. By developing motion estimation techniques that work even with severe motion blur, he enables robust scene reconstruction where traditional methods fail. Ingle’s contributions are foundational for next-generation imaging systems that must operate reliably in the dark and at high speeds, making him a key figure in the future of computational photography and computer vision.