B.S., Computer Science Southwest Texas State University 1986
M.S., Computer Science Vanderbilt University 1988
Ph.D., Computer Science Columbia University 1996
Associate Professor, Computer Science, Florida Institute of Technology (2002-present); Assistant Professor (1997-2002); Visiting Assistant Professor (1995-97).
Visiting Scientist/Faculty (sabbatical), Laboratory of Computer Science, Massachusetts Institute of Technology (2002-3).
Research Assistant, Department of Computer Science, Columbia University (1988-95). Ported an OPS5-to-C compiler to the DADO parallel machines, built a financial expert system, and working on scalable machine learning (Prof. Stolfo).
Research Intern, Learning Systems Department, Siemens Corporate Research (Summer, 1993); Designed and implemented the automated revision component for a CAT scanner diagnostic knowledge base (Drs. Drastal & Langley).
Research Intern, Knowledge-Based Systems Department, GTE Labs. (Summer, 1991 & 1992); Designed and built a distributed multi-agent telecommunication network problem-solving system and tools for an integrated knowledge discovery system (Drs. Weihmayer, Piatetsky-Shapiro & Matheus).
Research Intern, Citibank (Summer, 1990)
Deployed a mortgage pool allocation expert system and linked it to the CTS database (Dr. Schutzer).
Research Programmer, Department of Chemistry, Vanderbilt University (Summer, 1988); Ported theoretical chemistry programs to the SCS supercomputer.
``Increasing coverage to improve detection of network and host anomalies.'' G. Tandon and P. Chan. Machine Learning, 79(3):307-334, 2010.
``Learning Implicit User Interest Hierarchy for Context in Personalization.'' H. Kim and P. Chan. Applied Intelligence, 28(2):153-166, 2008.
``Weighting versus Pruning in Rule Validation for Detecting Network and Host Anomalies.'' G. Tandon & P. Chan. Proc. ACM Intl. Conf. on Knowledge Discovery and Data Mining (KDD). pp. 697-706, 2007.
``Modeling Multiple Time Series for Anomaly Detection.'' P. Chan & M. Mahoney. Proc. IEEE Intl. Conf. on Data Mining, pp. 90-97, 2005.
``Learning States and Rules for Detecting Anomalies in Time Series.''
S. Salvador and P. Chan, Applied Intelligence, 23(3):241-255, 2005.
``Learning Rules for Anomaly Detection of Hostile Network Traffic,'' M. Mahoney and P. Chan,
Proc. Third IEEE International Conference on Data Mining, pp. 601-4, 2003.
``An Analysis of the 1999 DARPA/Lincoln Laboratory Evaluation Data for Network Anomaly,'' M. Mahoney and P. Chan, Proc. 6th Intl. Symp. Recent Advances on Intrusion Detection, pp. 220-237, 2003.
``Learning Implicit User Interest Hierarchy for Context in Personalization,'' H. Kim and P. Chan, Proc. Intl. Conf. on Intelligent User Interfaces, pp. 101-108, 2003.
``Learning Nonstationary Models of Normal Network Traffic for Detecting Novel Attacks,'' M. Mahoney and P. Chan, Proc. Eighth Intl. Conf. on Knowledge Discovery and Data Mining, pp. 376-385, 2002.
Advances in Distributed and Parallel Knowledge Discovery, H. Kargupta and P. Chan (editors),
AAAI/MIT Press, 2000.
- Adaptive web personalization
- Anomaly detection for computer security
- Anomaly detection for device monitoring
Research & Project Interests
- Machine Learning and Data Mining
- Scalable Adaptive Methods
- Intrusion Detection
- Web Personalization