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About

Dr. Chun Hang Eden Ti is a pioneering researcher at the intersection of neurorehabilitation and soft robotics, whose work is redefining motor recovery for chronic stroke survivors. His primary research areas include personalized electromyography (EMG)-driven robotic hand training, non-invasive brain stimulation, and the neural mechanisms underlying interhemispheric balance restoration. Dr. Ti’s most significant contribution is the development and clinical validation of a personalized EMG-driven soft robotic hand that enables task-oriented training, as demonstrated in a randomized controlled trial (2024, 10 citations). This work has shown tangible improvements in distal motor function, offering a scalable solution for home-based rehabilitation. He has further advanced the field by integrating high-definition transcranial direct current stimulation (HD-tDCS) with robotic training, targeting individual motor hotspots to enhance neural activation and motor outcomes (2024, 7 citations). Using dynamic causal modeling, Dr. Ti has uncovered the neural mechanisms of interhemispheric balance restoration, providing crucial insights into how robot-assisted training reorganizes motor networks (2023, 6 citations). Beyond neurorehabilitation, he has innovated in sensor technology, developing flexible magnetoelastic strain sensors for highly deformed posture perception (2025, 6 citations), showcasing his versatility. With a growing citation impact and a focus on personalized, data-driven interventions, Dr. Ti is a leading voice in translating engineering innovations into meaningful clinical outcomes for stroke recovery.