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Xiangyang (Sean) Li
Assistant Professor

Phone (313) 583-6416
Email 2260 Engineering Complex
University of Michigan - Dearborn
Dearborn, Michigan 48128

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Education
  • Ph.D., Industrial Engineering, Arizona State University, USA
  • M.S., Automatic Control, Chinese Academy of Space Administration, China
  • B.S., Automatic Control, Northeastern University, China
Areas of Research Interests
  • Security, quality and reliability of enterprises and information systems
  • Modeling and analysis of complex infrastructure and networks
  • Intelligent human machine interaction and human effectiveness
  • Knowledge discovery, data mining and information fusion
Selected Publications
  1. D. Butcher, X. Li, and J. Guo. (2007) Security challenge and defense in VoIP infrastructures. To appear in IEEE Transactions on Systems, Man, and Cybernetics-Part C, Vol. 37, No. 6.
  2. X. Li and C. Chandra. (2007) A knowledge integration framework for complex network management. Industrial Management and Data Systems, Vol. 107, No. 8, Pp. 1089-1109.
  3. X. Li and N. Ye. (2007) Chapter 16: Intrusion detection and information infrastructure protection. H. Chen, T.S. Raghu, R. Ramesh, A. Vinze, and D. Zeng (ed.) National Security (Vol. 2) of book series “Handbooks in Information Systems”, Elsevier, Pp. 367-394.
  4. X. Li and C. Chandra. (2007) Efficient knowledge integration to support complex supply network management. International Journal of Manufacturing Technology and Management, Vol. 10, No. 1, Pp. 1-18.
  5. X. Li and C. Chandra. (2007) Chapter 5: Knowledge integration in connective technology networks: Application in supply chain risk management. S. Kumar. (ed.) Connective Technologies in the Supply Chain of book series “Supply Chain Synchronization: Optimization, Modeling and Applications”, Auerbach Publications/Taylor and Francis, Pp. 77-104.
  6. J. Buddhakulsomsiri, Y. Siradeghyan, A. Zakarian, and X. Li. (2006) Association rule generation algorithm for mining automotive warranty data. Special Issue of Data Mining of the International Journal of Production Research, Vol. 44, No. 14, Pp. 2749-2770.
  7. X. Li and N. Ye. (2006) A supervised clustering and classification algorithm for mining data with mixed variables. IEEE Transactions on Systems, Man, and Cybernetics-Part A, Vol. 36, No. 2.
  8. X. Li and Q. Ji. (2005) Active affective state detection and user assistance with dynamic Bayesian networks. IEEE Transactions on Systems, Man, and Cybernetics-Part A, Vol. 35, No. 1.
  9. X. Li and N. Ye. (2005) A supervised clustering algorithm for computer intrusion detection. Knowledge and Information Systems, Vol. 8, No.4.
  10. N. Ye, X. Li, and T. Farley, (2003) A data mining technique for discovering distinct patterns of hand signs: Implications in user training and computer interface design. Ergonomics, Vol. 46, No. 1-3.
  11. T. Wu and X. Li. (2003) Chapter 15: Data storage and management. N. Ye. (ed.) Handbook of Data Mining, Lawrence Erlbaum Associates, Pp. 393-407.
  12. X. Li and N. Ye. (2003) Decision tree classifiers for computer intrusion detection. Journal of Parallel and Distributed Computing Practices, Vol. 4, No. 2.
  13. X. Li and N. Ye. (2002) Grid- and dummy-cluster-based learning of normal and intrusive clusters for computer intrusion detection. Journal of Quality and Reliability Engineering International, Vol. 18, No. 3.
  14. N. Ye and X. Li. (2002) A scalable, incremental learning algorithm for classification problems. Computers and Industrial Engineering, Vol. 43, No. 4.
  15. N. Ye, X. Li, Q. Chen, S. M. Emran, and M. Xu. (2001) Probabilistic techniques for intrusion detection based on computer audit data. IEEE Transactions on Systems, Man, and Cybernetics-Part A, Vol. 31, No. 4.