Yufei Tang (唐宇飞), Ph.D. 
Assistant Professor, Department of Computer & Electrical Engineering and Computer Science (CEECS)
Faculty Fellow, Institute for Sensing and Embedded Network Systems Engineering (I-SENSE)
Florida Atlantic University
777 Glades Road, EE-96 Rm-318, Boca Raton, FL 33431, USA
Tel: 1-561-2974981; Email: tangy@fau.edu

Yufei Tang is an Assistant Professor in the Department of CEECS and a Faculty Fellow of I-SENSE at Florida Atlantic University (FAU), where he is also the Director of the Intelligent and Resilient Energy Systems (IRES) Research Group. He received his Ph.D. in Electrical Engineering from the University of Rhode Island (URI) in 2016. His research interests are in the areas of Artificial Intelligence (e.g., Machine Learning, Data Mining) and Cyber-Physical Energy Systems (e.g., Marine Renewable Energy, Smart Grid). Currently, his research foci are networked big data and system analytics, automated machine learning (AutoML), physics-informed machine learning, and applications in predictive maintenance and intelligent control of energy systems.

Dr. Tang is currently collaborating with the Southeast National Marine Renewable Energy Center (SNMREC), the Harbor Branch Oceanographic Institute (HBOI), and the National Renewable Energy Laboratory (NREL). Dr. Tang is an active member of IEEE. He is the reviewer for top-tier journals and conferences, such as the IEEE Transactions on Sustainable Energy, IEEE Journal of Oceanic Engineering, IEEE Transactions on Smart Grid, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Electronics, IEEE Transactions on Big Data, IEEE International Conference on Data Mining (ICDM), AAAI Conference on Artificial Intelligence, ACM Knowledge Discovery and Data Mining (KDD), and American Control Conference (ACC). He is the recipient of the Steve Bouley and Rhonda Wilson Graduate Fellowship Award, the Chinese Government Award for Outstanding Student Abroad, a co-recipient of the IEEE PESGM Graduate Student Poster Contest, Second Prize, and the IEEE International Conference on Communications (ICC) Best Paper Award. He is an Early-Career Research Fellow of the National Academies Gulf Research Program.