The IMSE Department welcomes new Assistant Professor, Dr. Shouyi Wang. He comes to UTA from the University of Washington where he served as a Research Scientist.
Dr. Wang has interests in data mining, machine learning, pattern recognition, multivariate process monitoring and prediction, multivariate statistics, applied operation research, and human-centered computing. He has developed mathematical theories and algorithms to frame, model and optimize complex systems, and solve large-scale data mining and knowledge discovery problems in engineering and science. He has conducted research projects on intelligent learning control systems for humanoid walking robots, personalized healthcare online monitoring and decision-making systems using multivariate physiological signals, functional and diagnostic brain imaging analysis and network modeling (fMRI), clinical recommendation system for respiratory-gated PET/CT Imaging using patient classification and statistical association, real-time prediction/detection of mental states and cognitive activities using brain-computer interfaces, and personalized healthcare information systems with wearable body sensor networks. He is also the author of several articles that have appeared in publications such as the International Journal of Data Mining and Bioinformatics, Wiley Encyclopedia of Operations Research and Management Science, and conference proceedings.
Dr. Wang received a Ph.D in Industrial and Systems Engineering from Rutgers in 2012. He is also a member of professional engineering organizations such as the Institute for Industrial Engineers (IIE), Institute for Operations Research and the Management Sciences (INFORMS), and Institute of Electronics Engineers (IEEE).