Seungmoon Song
Assistant Professor,
Mechanical and Industrial Engineering
Office
- 255 SN
Research Focus
Modeling the neuromechanics of human movement and applying it to assistive devices and rehabilitation treatment
About
Dr. Seungmoon Song is an Assistant Professor of Mechanical and Industrial Engineering at Northeastern University and the Director of the NeuMove Lab, dedicated to advancing the science of human motion and enhancing physical performance through wearable robotics, rehabilitation, and training. He is a significant contributor to MyoSuite and the NeurIPS: MyoChallenge. He received the NIH Pathway to Independence Award (K99/R00). During his postdoctoral fellowship at Stanford University, he conducted research on human-in-the-loop optimization frameworks for gait assistive exoskeletons. He earned his Ph.D. in Robotics from Carnegie Mellon University in 2017, receiving the Presidential Fellowship for his work on computational neuromechanical models of human locomotion. He obtained his M.S. in Electrical and Computer Engineering from Virginia Tech in 2010, where he focused on developing walking controllers for humanoid robots, and his B.E. with summa cum laude in Electrical and Communications Engineering in 2008 from Information and Communications University (now merged into the Korea Advanced Institute of Science and Technology).
Education
PhD, Carnegie Mellon University, 2017
Research Overview
Modeling the neuromechanics of human movement and applying it to assistive devices and rehabilitation treatment
Selected Research Projects
- Simulation Framework to Develop Ankle Exoskeleton Gait Assistance for Older Adults
- – PI, NIH
Department Research Areas
Selected Publications
- S Song, Ł Kidziński, XB Peng, C Ong, J Hicks, S Levine, CG Atkeson, & SL Delp, “Deep reinforcement learning for modeling human locomotion in neuromechanical simulation,” Journal of NeuroEngineering and Rehabilitation, 2021.
- S Song & SH Collins, “Optimizing exoskeleton assistance for faster self–selected walking speed,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021.
- S Song, H Choi, SH Collins, “Using force data to self-pace an instrumented treadmill and measure self-selected walking speed,” Journal of NeuroEngineering and Rehabilitation, 2020.
- S Song and H Geyer, “Predictive neuromechanical simulations indicate why walking performance declines with aging” The Journal of Physiology, 2018.
- S Song and H Geyer, “Evaluation of a neuromechanical walking control model using disturbance experiments,” Frontiers in Computational Neuroscience, 2017.
- S Song and H Geyer, “A neural circuitry that emphasizes spinal feedback generates diverse behaviours of human locomotion,” The Journal of Physiology, 2015.
Apr 27, 2023
FY24 TIER 1 Research Development Award Recipients
Twelve COE faculty and affiliates were recipients of Northeastern’s FY24 TIER 1 Interdisciplinary Research Seed Grants provided by the Research Development department for 11 different projects.
Sep 15, 2022
Developing an Ankle Exoskeleton to Assist the Mobility of Older Adults
MIE Assistant Professor Seungmoon Song was awarded a $747K NIH grant from the National Institute of Aging for “Simulation Framework to Develop Ankle Exoskeleton Gait Assistance for Older Adults.” The study will develop and evaluate how ankle-exoskeleton assistance affects metabolic energy consumption, walking speed, and pain during walking in healthy young and older adults, as well as in older adults with knee osteoarthritis.
Jan 03, 2022
New Faculty Spotlight: Seungmoon Song
Seungmoon Song joins the Mechanical and Industrial Engineering department in January 2022 as an Assistant Professor.