New Faculty Spotlight: Seungmoon Song
Seungmoon Song joins the Mechanical and Industrial Engineering department in January 2022 as an Assistant Professor.
Seungmoon Song’s research focuses on modeling the neuromechanics of human movement and applying it to rehabilitation and robotics. He is currently a postdoctoral researcher in the Mechanical Engineering Department of Stanford University and a recipient of an NIH K99 award working on improving human walking performance with exoskeleton assistance using human-in-the-loop optimization. He is also the lead organizer of the NeurIPS: Learn to Move competition. During his PhD at the Robotics Institute of Carnegie Mellon University, he proposed a reflex-based control model that could explain various aspects of human locomotion including diverse locomotion behaviors of healthy adults, responses to unexpected disturbances, and performance degradation in aging. He developed walking controllers for humanoid robots as a Master’s student at Virginia Tech and received a Bachelor’s degree at ICU (now merged into KAIST) in Korea.