Members

Biomechanical investigation of gait and compensatory movement strategies in developmental dysplasia of the hip to improve clinical assessment and rehabilitation outcomes. 

My research uses motion analysis to bridge the   clinical gap of residual discomfort after arthroplasty, specifically linking   kinematics to soft tissue healing.

 Investigating how visual perception and ocular dominance shape balance control and gait adaptation to improve understanding of the sensory–motor mechanisms of human locomotion. 

 Gait and balance change in sleep-disordered breathing populations.  

My research integrates motion analysis and biomechanics to reveal how insoles and subtalar arthroereisis surgery affect whole-body balance control in children with pronated foot.   

 Investigating the effects of scoliosis on human kinetics and kinematics during obstacle crossing and stair negotiation. 

Early cognitive impairment biomarkers; sleep-disordered breathing and memory physiology; motion-capture biomechanics; cognitive–motor interaction; neuromodulation; digital cognitive assessment and longitudinal dementia research. 

 Research focuses on the biomechanical characteristics of elderly patients with degenerative knee osteoarthritis, with particular expertise in biplane fluoroscopy–based knee joint motion analysis. 

Human motion analysis and three-dimensional bone pose tracking using interleaved biplane fluoroscopy system 

Research focus on gait analysis and its integration with clinical practice. His research aims to improve disease diagnosis, enhance patient mobility, and elevate overall quality of life.

 Shih-Chieh Peng is a distinguished specialist in radiological sciences and medical imaging, with an enduring commitment to advancing the frontiers of smart healthcare research.  

Subject-specific finite element modeling; Joint and soft tissue biomechanics; Orthopedic surgical biomechanics and preoperative planning; Medical imaging–based modeling and reconstruction; Artificial intelligence for musculoskeletal modeling

 Developing AI-driven approaches for motion capture, analysis, and synthesis to advance understanding of the neural and mechanical control of human locomotion. 

His research focuses on integrating biomechanics, dynamic fluoroscopic imaging, and statistical shape modeling to investigate in vivo joint mechanics with high spatial accuracy. 

Research focuses on foot biomechanics, 3D morphology, and DIC-based deformation, quantifying foot loading, stability, and taping effects to support sports medicine assessment and footwear design.

Research focus on dual-smartphone motion-capture methods for worker lifting analysis, combining model-based analysis and synthesis to advance understanding of human locomotion and occupational biomechanics.

Chen Yu-fan, an NTU BME PhD student, researches AI, biomechanics, movement intelligence, and system development.