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Text mining and systems, data modeling, algorithms, cyber security
Prof. Wang's current research interests include text mining algorithms and systems, data modeling and its applications, and combinatorial optimizations. His previous interests included large-scale network dynamics, cloud computing and search over encryption, network security, wireless networks, and computational complexity theory. He is particularly interested in algorithmic problems and mathematical modeling arising from practical applications, including data analysis and applications, intelligent text automation, wireless sensor networks, computational medicine, networking, and online social networks. He worked on computational complexity theory from late 1980's to early 2000's, including structural complexity, average-case complexity, and average NP-completeness.
For an up-to-date list of selected, categorized publications please refer to Dr. Wang's Web page at http://www.cs.uml.edu/~wang.
Dr. Jie Wang joined the Department of Computer Science at the University of Massachusetts Lowell in 2001 as Full Professor, and chaired the department for 9 years from 2007 to 2016. He is Director for China Partnership of the US-based Consortium for Mathematics an Its Applications (COMAP) since 2011. He was Assistant Professor of Computer Science and then Associate Professor of Computer Science at the University of North Carolina prior to joining UMass. He has 30 years of teaching and research experience and has worked as a network security consultant in a national bank. He has published over 180 journal and conference papers (including book chapters), authored and co-authored 12 books, and co-edited 4 books. His research has been funded by the National Science Foundation, IBM, Intel, and other companies in the amount of about $4.8M. He is active in professional service, including chairing conference program committees and organizing workshops, serving as journal editors and the editor-in-chief of a book series on mathematical and interdisciplinary modeling. He has graduated 18 PhD students and is currently directing 5 PhD students.