Papers
7
Total Citations
244
H-Index
5
About
Vi Do Tran is a researcher whose work bridges neurorehabilitation robotics and advanced control systems engineering, with a primary focus on improving motor recovery outcomes for stroke survivors. Tran has made significant contributions to the field of robot-assisted rehabilitation, particularly through rigorous investigation of wrist robotic therapies and their synergistic combination with neurostimulation techniques. His landmark 2018 review on kinematic measures for upper limb robot-assisted therapy — garnering 111 citations — established a critical framework for standardizing outcome evaluation in post-stroke rehabilitation research. Building on this foundation, his 2019 randomized controlled trial (77 citations) demonstrated the promising therapeutic potential of combining transcranial direct current stimulation (tDCS) with wrist robot-assisted training in subacute stroke patients, a clinically meaningful advancement in multimodal rehabilitation strategies. His work further revealed intriguing distal-to-proximal motor recovery patterns in stroke patients undergoing robotic wrist training, contributing valuable mechanistic insights to the field. Beyond rehabilitation, Tran has explored sophisticated robotics control problems, developing neural-network-based adaptive controllers and applying optimization algorithms such as Linear Quadratic Regulators to underactuated robotic systems. Collectively, his research reflects a commitment to translating advanced engineering methods into meaningful clinical and technological applications.
Research Focus
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Top Papers
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