Associate Professor
NJIT
My research is centered around the intersection of computational biomechanics, digital human modeling, wearable robotics, human-robot interaction, and personalized medicine. Within computational biomechanics, my focus spans musculoskeletal biomechanics, soft tissue mechanics, and the development of strategies for fatigue and injury prevention. My current research focuses on refining computational methods for analyzing human motion and developing wearable robots, such as exoskeletons, aimed at enhancing patient mobility rehabilitation and boosting human performance. The ultimate aim of my research is to forge advanced human-machine interfaces that foster intelligent synergy and seamless interaction among humans, robots, and computing systems.
More recently, I have been spearheading research on wearable robots and human-robot interaction. Within this realm, we have pioneered the development of reinforcement learning methods and deep neural network-based controllers for robust exoskeleton control. Looking ahead, the long-term impact of this research holds promise for individuals with mobility impairments. By enhancing motor functions through exoskeleton-assisted strength augmentation or rehabilitation, we aim to empower these individuals to more fully engage in their communities and elevate their quality of life. Furthermore, I envision extending this research trajectory to encompass prosthesis design and evaluation, leveraging similar methodologies and objectives to assist amputees in regaining normal mobility and improving their overall wellbeing.