Dr. Lei Cheng serves as Co-PI on the $150K University Transportation Center for Railway Safety (UTCRS) project BEACON, developing multi-sensor and machine-learning technologies for worker safety in high-risk railway and transportation environments.
Dr. Lei Cheng joined The University of Texas Rio Grande Valley (UTRGV) as a tenure-track Assistant Professor in Electrical and Computer Engineering, and established the Perception, AI, and Autonomy Lab (PAIA Lab).
Awarded a $150K research project as PI through M-TRAIL, funded by the Maryland Department of Transportation SHA.
CalibRefine, our online targetless LiDAR–camera calibration framework, was accepted to IEEE T-IM.
Radar-camera fused multi-object tracking with online calibration and common features was accepted to IEEE T-ITS.
Unlocked the first GitHub Achievement Starstruck after creating a highly starred research repository.
Dr. Lei Cheng joined UMD as a Faculty Assistant in Civil and Environmental Engineering and the Maryland Transportation Institute.
Featured in the University of Arizona ECE Class of 2025 Spotlight.
Dr. Cheng defended his dissertation and graduated from the University of Arizona.
TransRAD was accepted to IEEE Transactions on Radar Systems.
Deep learning-based radar-camera multi-object tracking was accepted to IEEE Transactions on Intelligent Transportation Systems.
Presented 3D radar and camera co-calibration at the 2023 IEEE Radar Conference.