NJIT Department of Computer Science
Dr. Jason T. L. Wang

Professor and Director, Data and Knowledge Engineering Lab

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Research Areas and Short Biography Jason T. L. Wang received his BSc. in Mathematics from National Taiwan University, Taipei City, and his Ph.D. in Computer Science from the Courant Institute of Mathematical Sciences at New York University, New York City. He is Professor of Computer Science at New Jersey Institute of Technology (NJIT), New Jersey's Science and Technology University, and Director of the University's Data and Knowledge Engineering Laboratory. Dr. Wang's research interests include data mining and databases, data science and analytics, big data, machine learning, deep learning, computer vision, and services computing. He applies data mining and machine learning methods to problems in various domains ranging from biology, chemistry, physics, to medicine. He has published over 180 refereed papers and presented 3 SIGMOD software demos in these and related areas. His journal papers appeared in ACM Transactions on Database Systems, ACM Transactions on Information Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Cybernetics, and his conference papers appeared in proceedings of ACM SIGMOD, ACM SIGKDD, ACM PODS, VLDB, IEEE ICDE, IEEE ICDM, SIAM SDM, etc. His research has been supported by Novartis Pharmaceuticals Corporation, AT&T Foundation, Alfred P. Sloan Foundation, James S. McDonnell Foundation, Howard Hughes Medical Institute, U.S. Department of Defense (DoD), U.S. National Institutes of Health (NIH), and U.S. National Science Foundation (NSF). He has served as a panelist or reviewer for the NSF, NIH, U.S. Department of Energy (DoE), National Aeronautics and Space Administration (NASA), National Science Council of Taiwan, Agency for Science, Research & Technology (A*STAR) of Singapore, Natural Sciences and Engineering Research Council of Canada, Deutsche Forschungsgemeinschaft (German Research Foundation), Chilean National Commission for Scientific and Technological Research, Austrian Science Fund, and Council of Physical Sciences of the Netherlands Organization for Scientific Research. Professor Wang co-wrote two books Bioinformatics Database Systems (2016, CRC Press) and Mining the World Wide Web: An Information Search Approach (2001, Springer), which was translated to Japanese in 2004, and was an editor and author of seven books Pattern Discovery in Biomolecular Data: Tools, Techniques and Applications (1999, Oxford University Press), Computational Biology and Genome Informatics (2003, World Scientific), Data Mining in Bioinformatics (2005, Springer), Analysis of Biological Data: A Soft Computing Approach (2007, World Scientific), Computational Intelligence and Pattern Analysis in Biological Informatics (2010, Wiley), Biological Data Mining and Its Applications in Healthcare (2014, World Scientific), and Pattern Recognition in Computational Molecular Biology: Techniques and Approaches (2015, Wiley). He was the executive editor of World Scientific Book Series on Science, Engineering, and Biology Informatics (2004-2015). He serves or has served on the Editorial Boards of 20 journals including Information Systems (Elsevier), Knowledge and Information Systems (Springer), Intelligent Data Analysis (IOS Press, Amsterdam), Pattern Recognition (2002-2006) and Information Sciences (2002-2003). In addition, he has served on the program committees of over 220 national and international conferences, was Program Co-Chair of the 2001 Atlantic Symposium on Computational Biology, Genome Information Systems & Technology held at Duke University, Program Co-Chair of the 1998 IEEE International Joint Symposia on Intelligence and Systems held at Rockville, Maryland, a Founding Chair of the ACM SIGKDD Workshop on Data Mining in Bioinformatics, a Workshop Co-Chair of the 2010 ACM International Conference on Bioinformatics and Computational Biology, and a Co-Chair of the 2006 IEEE ICDM Workshop on Data Mining in Bioinformatics and the 2011 IEEE ICDM Workshop on Biological Data Mining and Its Applications in Healthcare. He is listed in Who's Who among Asian Americans, and Who's Who in Science and Engineering.

Research Web Sites

Research Systems Dr. Wang has developed several research systems that perform the following functions:
  • detecting the similarity of data where the data include strings, trees, graphs, labeled points in high-dimensional space
    and attribute-values, and the similarity is measured by a user-defined metric;
  • finding association rules in transaction databases;
  • knowledge discovery and clustering in engineering databases;
  • aligning sequence and structural data in biological databases;
  • classification in DNA and protein databases.

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Contact | Classes | Education | Research | Publications | Exhibits | Software | Information

  If you have any comments or questions, please send them to wangj@njit.edu.