Seungmoon Song

Assistant Professor,  Mechanical and Industrial Engineering


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Research Focus

Modeling the neuromechanics of human movement and applying it to assistive devices and rehabilitation treatment


Seungmoon Song will join Northeastern University in January 2022 as an assistant professor in Mechanical & Industrial Engineering. His 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 Ph.D. 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.


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 selfselected 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 Award Recipients

Congratulations to the 12 COE faculty and affiliates who were recipients of FY24 TIER 1 Interdisciplinary Research Seed Grants for 11 different projects. Environmentally Sustainable and Socially Equitable Congestion Mitigation in Urban Transportation Systems Seyede Fatemeh Ghoreishi (Civil & Environmental Engineering/Computer Science), Daniel Aldrich (Political Science/SPPUA) Wind View AI Nathan Post (Roux), Enrico Bertini (Computer […]

Seungmoon Song


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.

Seungmoon Song


Jan 03, 2022

New Faculty Spotlight: Seungmoon Song

Seungmoon Song joins the Mechanical and Industrial Engineering department in January 2022 as an Assistant Professor.

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