Alex Turpin

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About

Alex Turpin is a leading researcher in computational imaging and single-photon sensing, with a primary focus on advancing 3D time-of-flight (ToF) imaging using single-photon avalanche diodes (SPADs). Their major contributions lie in pushing the boundaries of high-speed, long-range depth sensing for applications in augmented reality, robotics, autonomous systems, and human-computer interfaces. Turpin’s work has been instrumental in developing SPAD-based sensors that overcome traditional limitations of stereoscopy and structured light, enabling accurate depth data capture even over extended distances and at high speeds. Notably, their 2021 paper on 3D ToF imaging with SPADs has garnered 40 citations, reflecting its foundational impact in the field. Another key contribution, “High-speed vision with a 3D-stacked SPAD image sensor” (9 citations), demonstrates significant advances in sensor architecture for real-time 3D sensing. Turpin’s research also explores high-speed object detection using SPAD sensors, opening new possibilities for dynamic scene analysis, such as capturing the flight of birds. Through these innovations, Turpin is shaping the next generation of vision systems that are faster, more robust, and more versatile than ever before.