Vu Phan

Xin chào *greetings in Vietnamese*, I am Vu, a PhD Candidate in Mechanical Engineering 🧑‍🔧 at Carnegie Mellon University, where I am working with Prof. Eni Halilaj on various topics of using wearable sensors and deep learning for better capturing human movements in natural environments.

Before joining CMU, I earned my MS in Mechanical Engineering from Arizona State University 🌵 (under the advice of Prof. Hyunglae Lee), and my BEng in Mechatronics Engineering (Honor Program) from Ho Chi Minh City University of Technology (a member of Vietnam National University). I was also an embedded software engineer at Robert Bosch Engineering and Business Solutions Vietnam (now is Bosch Global Software Technologies Vietnam).

Email  /  Google Scholar  /  GitHub  /  Youtube

My current research focuses on

• developing deep learning-based models for joint kinematics estimation with wearable sensors,
• integrating deep learning into wearable technology for monitoring at-home physical exercises, and
• designing and building (affordable) wearable devices for biomechanical research and applications in emerging economies.

Previously, I worked on

• applying deep learning to enhance predictive modeling for fall detection and prevention,
• developing balance measures for improving our understanding of posture biomechanics, and
• investigating postural balance control of people with neurological disorders, or healthy people under challenging conditions.

Please feel free to connect if you are interested in advancing biomechanical research and applications in emerging economies, or would like to discuss my current and previous studies.

Thanks Jon Barron for this template.
Last updated on April 26, 2024.