Chen Feng

Chen Feng is an Institute Associate Professor at New York University, affiliated with the Department of Mechanical Engineering. He is the Director of the AI4CE Lab and Founding Co-Director of the NYU Center for Robotics and Embodied Intelligence (CREO). His research focuses on active and collaborative robot perception and robot learning to address multidisciplinary, use-inspired challenges in construction, manufacturing, and transportation. Prior to NYU, he worked as a research scientist in the Computer Vision Group at Mitsubishi Electric Research Laboratories (MERL). He earned his doctoral and master's degrees from the University of Michigan and his bachelor's degree from Wuhan University. Chen Feng is an active contributor to the AI and robotics communities and has served as an area chair and associate editor. In 2023, he was awarded the NSF CAREER Award.

Chen Feng is a researcher specializing in Computer Vision, Robotics, Spatial Intelligence, Embodied AI, and Construction Automation. Their work focuses on advancing 3D perception and scene understanding through deep learning techniques, particularly in point cloud processing and semantic scene completion. Key contributions include developing methods for 3D object detection, collaborative perception for autonomous driving, and applications in construction automation and robotic assembly. They have also explored geometric distortion metrics, point cloud compression, and real-time aerial tracking. Their research bridges computer vision and robotics, with applications in autonomous systems and civil infrastructure inspection.