Ming Liu

Ming Liu is a Research Associate Professor in the Department of Biomedical Engineering at NC State University. His work focuses on the design and control of powered prostheses, human motion analysis, wearable sensors, robots, nonlinear dynamics, and image processing. He holds a Ph.D. in Mechanical Engineering & Applied Mechanics from the University of Rhode Island, along with a M.Sc. and B.S. in Mechatronics from Beijing Institute of Technology.

Dr. Liu’s research emphasizes interdisciplinary approaches to biomedical engineering, particularly in rehabilitation technology and neuroimaging analysis. His recent work leverages deep learning and graph neural networks to analyze functional MRI data for brain disorder detection, domain adaptation in medical imaging, and progression forecasting of cognitive impairments. He has contributed to tools like ACTION for brain network analysis and frameworks for MRI harmonization and cross-domain adaptation.

His publications span topics such as federated learning for medical data, self-supervised learning in neuroimaging, and multimodal fusion for cognitive decline prediction. His work addresses challenges in clinical translation, data heterogeneity, and model interpretability, with applications in Alzheimer’s disease, depression, and neurocognitive disorders.

Notable contributions include domain generalization methods for medical image classification, attention-guided frameworks for dementia diagnosis, and disentangled representation learning for MRI analysis. His research bridges advanced computational techniques with clinical needs, aiming to improve diagnostic accuracy and personalized healthcare solutions.