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.
North Carolina A&T State University
Research interests: sustainable energy systems, control strategies for digital twins, and data-driven modeling in complex systems.
North Carolina A&T State University
Research interests: digital twin in medicine, predictive data analytics, human factors and ergonomics, simulation and optimization.
University of South Florida
Research interests: multi-scale brain dynamics modeling, AI-based smart systems, and biophysics.
Taipei Medical University
Research interests: bioinformatics, artificial intelligence, infectious disease, and viral hepatitis.
North Dakota State University
Research interests: advanced deep learning in smart energy systems, complex graph theory.
Harvard Medical School
Research interests: global cardiovascular health, digital health, artificial intelligence in medicine.
Posts and Telecommunications Institute of Technology, Vietnam
Research interests: biomedical informatics, predictive analytics, complex systems modeling and control, energy systems.
International University — VNU
Research interests: prognostic modeling and system reliability for smart grids.
University of Texas at Austin
Research interests: Advanced deep learning models in medicine, predictive analytics, information systems.
Worcester Academy
Research interests: Application of artificial intelligence in biophysics.