Dr. Ping Chen is an Associate Professor of Computer Science and the Director of Artificial Intelligence Lab at the University of Houston-Downtown. His research interests include Bioinformatics, Data Mining, and Computational Semantics. Dr. Chen has received four NSF grants and published over 40 papers in major Data Mining, Artificial Intelligence, and Bioinformatics conferences and journals. Dr. Ping Chen received his BS degree on Information Science and Technology from Xi'an Jiao Tong University, MS degree on Computer Science from Chinese Academy of Sciences, and Ph.D. degree on Information Technology at George Mason University. CV

Education

Ph.D. in Information Technology from George Mason University, Fairfax, Va, 2001.

M.S. in Computer Science from Institute of Automation, Chinese Academy of Sciences, Beijing, China, 1997.

B.S. in Information Systems from Xi’an Jiaotong University, Xi’an, China, 1994.

Work History

Associate Professor, Chair of Computer Science Program, Director, Artificial Intelligence Lab, Department of Computer and Mathematical Sciences, University of Houston-Downtown, Sept 2007 through present.

Assistant Professor, Department of Computer and Mathematical Sciences, University of Houston-Downtown, Sept. 2001 through Aug. 2007.

Research Interests

Bioinformatics

Data Mining

Artificial Intelligence

Journal Papers and Book Chapters

1. P. Chen, W. Ding, C. Ding, "A Lexical Knowledge Representation Model for Natural Language Understanding", to appear in International Journal of Software Science and Computational Intelligence.
2. H. Al-Mubaid, P. Chen, "Application of Word Prediction and Disambiguation to Improve Text Entry for People with Physical Disabilities", International Journal of Social and Humanistic Computing,ISSN: 1752-6124, Vol.1 No.1, pp. 10 – 27, 2008. (full paper)
3. A. de Korvin, P. Chen, J. Yoon, "Information Retrieval Using Relevance Vectors: A Soft Computing Approach", International Journal of Pure and Applied Mathematics, Volume 44, No. 1, 2008, 51-62. (full paper)
4. D. Barbara, P. Chen, "Fractal Mining", in "Data Mining and Knowledge Discovery Handbook: A Complete Guide for Practitioners and Researchers", published by Kluwer Academic Publishers, Page 627-647, 2005. (full paper)
5. E. Deeba, A. de Korvin, P. Chen, "Generating and applying rules for web documents retrieval", Far East Journal of Applied Mathematics, vol. 16(3)(2004) P249 - 272. (full paper)
6. P. Chen, W. Ding, "Knowledge Management for Agent-Based Tutoring Systems" in "Designing Distributed Learning Environments: With Intelligent Software Agents", Editor Fuhua Oscar Lin, Page 146-161, published by Idea Group, 2004. (full paper)
7. D. Barbara, P. Chen, "Using self-similarity to cluster large data sets", Journal of Knowledge Discovery and Data Mining, 7, Page 123 – 152, 2003. (full paper)

Conference Papers

1. P. Chen, W. Ding, C. Bowes, D. Brown, "A Fully Unsupervised Word Sense Disambiguation Method and Its Evaluation on Coarse-grained All-words Task", NAACL 2009. (full paper)
2. P. Chen, R. Verma, J. C. Meininger, W. Chan, "Semantic Analysis of Association Rules", The 21th International FLAIRS Conference, May 2008, Miami, Florida. (full paper)
3. R. Verma, P. Chen, "Integrating Ontology Knowledge into a Query-based Information Summarization System", DUC 2007, April, 2007. Rochester, NY. (full paper)
4. P. Chen, W. Ding, C. Ding, "SenseNet: A Knowledge Representation Model for Computational Semantics", In Proceedings of The 5th IEEE International Conference on Cognitive Informatics, July 2006, Beijing, China. (full paper)
5. P. Chen, H. Al-Mubaid, "Context-based Term Disambiguation in Biomedical Literature", In Proceedings of The 19th International FLAIRS Conference, May 2006, Melbourne, Florida. (full paper)
6. H. Al-Mubaid, P. Chen, "Context-Based Similar Words Detection and Its Application in Specialized Search Engines", In Proceedings of International Conference on Intelligent User Interfaces, Page 260-264, January 2005, San Diego, CA. (full paper)
7. A. de Korvin, P. Chen, C. Hu, "Generating and Applying Rules for Interval Valued Fuzzy Observations", Lecture Notes in Computer Science, Vol. 3177, Page 279-284, Springer-Verlag, 2004. (full paper)
8. D. Barbara, P. Chen, "Self-similar Mining of Time Association Rules", In Proceedings of The Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’04), Page 86-95, Sydney, Australia, May 2004. (full paper)
9. P. Chen, C. Hu, W. Ding, H. Lynn, "Icon-based Visualization of Large High-Dimensional Datasets", In Proceedings of Third IEEE International Conference on Data Mining (ICDM'03), Page 505-508, Melbourne, Florida, November 2003. (full paper)
10. P. Chen, A. de Korvin, C. Hu, "Association Analysis with Interval Valued Fuzzy Sets and Body of Evidence", In Proceedings of 2002 IEEE International Conference on Fuzzy Systems, Page 518-523, Honolulu, HI, May 2002. (full paper)
11. D. Barbara, P. Chen, "Tracking Clusters in Evolving Data Sets", In Proceedings of FLAIRS'2001, Page 239-243, Key West, FL, May 2001.
12. D. Barbara, P. Chen, "Using the Fractal Dimension to Cluster Datasets", In Proceedings of 2000 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Page 260-264, Boston, MA. August 2000. (full paper)