Jingdao Chen

Dr. Jingdao Chen is an Assistant Professor specializing in robotics and AI applications for construction and disaster response. His research develops perception systems using computer vision and deep learning for autonomous agents operating in complex environments.

Key research areas include Scan-to-BIM technologies, disaster site mapping, and self-supervised learning for robotic perception. Recent publications demonstrate innovations in point cloud segmentation, digital twin generation, and off-road navigation.

His work has secured funding from NSF, NASA, and IARPA. He leads the IEEE RAS Technical Committee on Construction Robotics and organizes workshops at major robotics conferences.