Papers
4
Total Citations
13
H-Index
3
About
Dr. Vu Phan is a rising researcher in biomechanics and human postural control, whose work bridges experimental robotics and deep learning to unravel how humans maintain balance in dynamic environments. His key research areas include lower limb biomechanics, postural stability assessment, and the application of artificial intelligence to movement science. Dr. Phan introduced a novel deep learning framework capable of predicting challenging mechanical environments from short observations of postural balance—a contribution that earned his 2022 paper five citations and opened new avenues for fall-risk prediction. He also designed a twin dual-axis robotic platform for studying bilateral ankle mechanics during standing and walking, providing unprecedented insight into two-degree-of-freedom lower limb control. In 2022, Dr. Phan developed the directional virtual time-to-contact metric, a refined measure for investigating the temporal, spatial, and control aspects of balance. His work has practical implications for rehabilitation and ergonomics, as demonstrated by his 2023 study on how modern smartphone use degrades balance on dynamically challenging surfaces. With a growing citation record and innovative methodological contributions, Dr. Phan is shaping the future of quantitative balance assessment.
Research Focus
Key Achievements
Top Papers
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