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Li-Shan applies engineering theories to synthesize the underlying mechanisms governing human locomotion and performs basic clinical research to advance the understanding of dynamic balance and controlled human locomotion. His work has resulted in novel assessment protocols and biomechanical markers that provide objective quantification of deficits in gait and balance control, common mobility impairments in older adults and patients with neurological disorders. His research team pioneered dual-task gait paradigms to describe how cognitive function interacts with gait, allowing for the objective monitoring of functional recovery after mild traumatic brain injury. The methodologies developed by his research group have successfully translated clinical tools for gait and balance assessment and outcome evaluation for fall prevention interventions, leading to the development of wearable sensor technology for remote gait and balance assessment. Li-Shan’s interdisciplinary research has been funded by the NIH, CDC, and DOD. His scholarly contributions include over 130 scientific papers in peer-reviewed journals, more than 220 peer-reviewed conference abstracts, and over 100 invited talks and lectures.
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