Ming-Chun Huang

Associate professor of data and computational science, Duke Kunshan University

Huang has a B.S (2007) in Electrical Engineering at Tsing Hua University, Taiwan, an M.S. (2010) in Electrical Engineering at the University of Southern California, and a Ph.D. (2014) in Computer Science at the University of California, Los Angeles. Prior to joining Duke Kunshan University in 2021, he was an Associate Professor at Case Western Reserve University (2014-2021). His research focus is the intersection among Active Health, Internet-of-Things, Machine Learning and Informatics, Motion and Physiological Signal Sensing. He had over 15 years of research experience conducting interdisciplinary scientific projects with researchers from distinct areas (e.g., Biomedical Engineering, Medicine, and Nursing). He had successfully administered past funded projects and productively published over 90 peer-reviewed publications, 6 invention patents and software copyrights, and won 7 best paper awards/runner-up. His research has been reported in hundreds of high-impact media outlets. For the nature of richness and high impact of the research topics he was involved in, his research results in a plethora of new knowledge in aspects ranging from innovative IoT sensing technology, closed-loop AI analytics methodology, optimized clinical decision-making, and just-in-time patient risk assessment.

Current Research Interests
From Digital Factory to Digital Health: Digital Twin Platform Construction for Brain Science Research (PI: Huang)
Critical Techniques for Personalized and Precise Medicine: Devices, Systems, and Big Data Analytics Platforms (PI: Huang)
Early Diagnosis of Parkinson's Disease Powered by Data Harnessing, AI, and Transfer Learning (PI: Huang)
Development and Pilot Testing of a Just-in-Time Mobile Smoking Cessation Intervention for Persons Living with HIV (MPI: Huang, Schnall)



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