Hui Xiong
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Dr. Hui Xiong received his Ph.D. in Computer Science from the University of Minnesota - Twin Cities, USA, in 2005, the B.E. degree in Automation from the University of Science and Technology of China (USTC), Hefei, China, and the M.S. degree in Computer Science from the National University of Singapore (NUS), Singapore. He is currently an Associate Professor in the Management Science and Information Systems Department at Rutgers, the State University of New Jersey, where he received a two-year early promotion/tenure (2009), the Rutgers University Board of Trustees Research Fellowship for Scholarly Excellence (2009), an IBM ESA Innovation Award (2008), the Junior Faculty Teaching Excellence Award (2007) and the Junior Faculty Research Award (2008) at Rutgers Business School .

Dr. Xiong's general area of research is data and knowledge engineering, with a focus on developing effective and efficient data analysis techniques for emerging data intensive applications. His research has been supported in part by the National Science Foundation (NSF), IBM Research, SAP Corporation, Panasonic USA Inc., and Rutgers University. He has published prolifically in refereed journals and conference proceedings, such as IEEE Transactions on Knowledge and Data Engineering, the VLDB Journal, INFORMS Journal on Computing, the Data Mining and Knowledge Discovery Journal, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), SIAM International Conference on Data Mining (SDM), IEEE International Conference on Data Mining (ICDM), and ACM International Symposium on Advances in Geographic Information Systems (ACM GIS). He is a co-Editor-in-Chief of Encyclopedia of GIS (Springer, 2008) and an associate editor of the Knowledge and Information Systems journal. He has served regularly in the organization committees and the program committees of a number of international conferences and workshops, and has also been a reviewer for the leading academic journals in his fields. He is a senior member of the IEEE, and a member of the ACM and the ACM SIGKDD.


flag Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams
as author at  23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Halifax 2017,
flag People Analytics in Human Resources
as author at  22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Francisco 2016,
flag Predicting Tissue-Dependent Alternative Splicing Using Bayesian Neural Networks
as author at  Machine Learning in Computational Biology,