معرفی
Dan Hu is a Lecturer in Mechanical Engineering at the CEES School of Engineering. He specializes in biomechanical modeling, vehicle dynamics, and estimation algorithms. His research focuses on human movement analysis, musculoskeletal systems, and advanced control systems for automotive applications. He is currently accepting PhD students in two projects: developing predictive modeling tools for personalized rehabilitation devices and creating experiment-free clinical diagnosis systems using machine learning.
Dr. Hu holds a Doctorate in Biomechanics & Automotive Engineering from Jilin University (2014), where his thesis addressed musculoskeletal modeling of drivers' hands. He also earned an MSc in Automotive Engineering (2009), focusing on Kalman filter applications for vehicle state estimation.
His research interests span biomechanical engineering, computational modeling of human motion, and vehicle state estimation using extended Kalman filters. Notable contributions include 3D whole-body walking models, metatarsophalangeal joint kinematics studies, and biomimetic prosthetics design. His work bridges biomechanics with automotive engineering, aiming to improve healthcare technologies and vehicle safety systems.
Dr. Hu has peer-reviewed for journals like Scientific Reports, IEEE Transactions on Neural Systems, and Computer Methods in Biomechanics. His research collaborations span biomechanics, robotics, and automotive control systems. Current projects emphasize predictive modeling and clinical diagnosis innovation.
