Purdue ECE team wins SRC JUMP 2.0 CogniSense Center Best Poster Award
Stanley Chan, Elmore Professor in Purdue University’s Elmore Family School of Electrical and Computer Engineering, and his research team received the SRC JUMP 2.0 CogniSense Center Best Poster Award at the center’s annual meeting, held this year at Georgia Tech.
The team’s winning poster, presented by PhD student Prateek Chennuri, showcased a single-photon LiDAR compression scheme featuring advanced adaptivity control and a neural decoder, all implemented on a compact NVIDIA Jetson platform. The system demonstrated a 250× compression rate, reducing data from 1300 Mbps to just 5 Mbps while maintaining high-quality depth maps.
“Single-photon LiDAR is a very new but powerful modality for high-precision 3D ranging,” Chan said. “It’s much harder to compress than conventional LiDAR data because we need to process the timestamps from individual photons. Our approach shows that it’s possible to achieve massive compression without sacrificing accuracy.”
The project was led by Kavinga Weerasoriya, a fourth-year PhD student, with contributions from Weijian Zhang and Chennuri. Chan serves as the team’s advisor.
The SRC JUMP 2.0 CogniSense Center, part of the Semiconductor Research Corporation’s Joint University Microelectronics Program, supports interdisciplinary research advancing cognitive sensing and computing systems.