Dr. Phat K. Huynh is an assistant professor in Industrial and Systems Engineering Department at North Carolina A&T State University. He earned his Ph.D. in Industrial Engineering at University of South Florida, a Master's in Industrial Engineering and Management at North Dakota State University, and a Bachelor's in Biomedical Engineering from International University – Vietnam National University. He has published extensively in prestigious peer-reviewed journals like Artificial Intelligence in Medicine, IEEE Journal of Biomedical and Health Informatics, Sleep, IISE Transactions on Healthcare Systems Engineering, and PLOS ONE. His work has been recognized with awards like the IISE Quality Control and Reliability Engineering Division William A. Golomski Award and Doug Ogden Award from Society of Reliability Engineers (SRE) for several best technical papers.
Dang H. Nguyen, MS, is a Research Fellow at Harvard T.H. Chan School of Public Health and Team Science Fellow at Stanford Medicine. Formerly head of clinical-trial operations at MGH and Beth Israel Deaconess, he now advances digital health, mHealth, and AI-driven robotics to improve diagnostics and care delivery. Nguyen has led multi-site studies on remote monitoring and telemedicine in Asia, Africa, the Caribbean, and the U.S., and has authored 90+ papers in journals such as The Lancet, Nature Reviews Cardiology, BMJ, and IEEE JBHI. He is an Academic Editor for PLOS Digital Health and a recipient of multiple fellowships and the 2024 Diana Award.
Minh Huu Nhat Le, MD is pursuing his PhD in Medicine specializing in Cardiology and AI in Medicine at the AIBioMed Lab, Taipei Medical University. He collaborates with faculty at Beth Israel Deaconess Medical Center, Harvard Medical School, on the CardioVis project applying computer vision for real-time detection of mitral valve function, and leads transnational AI research on hepatitis B virus and liver cancer in partnership with the Johns Hopkins University School of Medicine. As a licensed physician with a strong clinical foundation in Vietnam, he previously served as a research scholar in the Clinical Research and Advanced Epidemiology program at Harvard Medical School. He has authored 70+ peer-reviewed journal publications and 50+ conference papers.
North Carolina A&T State University
Research interests: deep learning in medicine, large language models, computer vision in cardiac surgery.
North Carolina A&T State University
Research interests: digital twin in medicine, predictive data analytics, human factors and ergonomics, simulation and optimization.
North Carolina A&T State University
Research interests: biomedical informatics, predictive analytics, complex systems modeling and control, energy systems.
University of South Florida
Research interests: multi-scale brain dynamics modeling, AI-based smart systems, and biophysics.
North Dakota State University
Research interests: advanced deep learning in smart energy systems, complex graph theory.
University of Texas at Austin
Research interests: deep learning, large language models, vision language model for medical applications.
International University — VNU-HCM
Research interests: prognostic modeling and system reliability for smart grids.
University of Manitoba
Research interests: medical deep learning, data mining, physical AI.
Worcester Academy
Research interests: Application of artificial intelligence in biophysics.
University of Texas at Austin
Research interests: Advanced deep learning models in medicine, predictive analytics, information systems.