Inseung Kang is an assistant professor in the Department of Mechanical Engineering at Carnegie Mellon University. His research program tackles the grand challenge of enhancing human mobility using robotics, wearables, and artificial intelligence. His team has a diverse research portfolio, ranging from designing versatile mechatronic systems to developing generalizable deep learning-based controllers. For example, his group focuses on developing wearable assistive devices such as robotic exoskeletons to help individuals with motor impairments (e.g., stroke or elderly) by integrating a multidisciplinary approach such as mechatronic design, deep learning, control theory, gait biomechanics, motor control, and motor learning. Inseung’s long-term research goal is to develop next-generation wearable robotic systems that have a transformative impact on human mobility by utilizing a comprehensive understanding of human-machine systems. Before joining Carnegie Mellon University, Kang was a postdoctoral associate at the Department of Brain and Cognitive Sciences at MIT. He received his B.S., M.S., and Ph.D. in mechanical engineering from Georgia Tech.
2021 Ph.D, Mechanical Engineering, Georgia Tech
2018 M.S., Mechanical Engineering, Georgia Tech
2016 B.S., Mechanical Engineering, Georgia Tech