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Education
B.S., Computer Science
University of Michigan (1981)
M.S., Computer Science
Wayne State University (1982)
Ph.D., Computer Science
Wayne State University (1985)
Dr. Rizki's research interests include evolutionary computation, neural networks, data mining, pattern recognition and image processing. He has published over 60 articles in variety of areas and has served as principal investigator on numerous federal contracts and grants. Dr. Rizki has received the Wright State University's College of Engineering and Computer Science's Award for Overall Faculty Excellence, Award for Excellence in Professional Service, and the Award for Excellence in Teaching. He is an associate editor of IEEE Transactions on Evolutionary Computation, BioSystems and International Journal of Engineering Application. He has served on over 40 conference program committees and is a member of Tau Beta Pi, ACM, SPIE, IEEE, and Sigma Xi.
Selected Publications
Courte, D., L.A. Tamburino, M. Rizki, Evolving Illumination for Improved Target Recognition, Proceedings of SPIE - The International Society for Optical Engineering 6229, (2006).
Cheatham, M. and M. Rizki, Feature and Prototype Evolution for Nearest Neighbor Classification of Web Documents, Proceedings - Third International Conference onInformation Technology: New Generations, ITNG 2006 (2006)
Rhonda L. Pitsch, Claude Grigsby, Nicholas DelRaso, Louis Tamburino, Mateen Rizki, John Schlager, Pavel Shiyanov, Metabonomic profiling of D-Serine-induced toxicity biomarkers in rat urine. ASMS Conference on Mass Spectrometry, (2009).
Active Research Projects
Hybrid evolutionary learning for pattern recognition (AFRL).
Machine learning techniques for biomarker identification (AFRL / HEB / ORISE) with Louis Tamburino.
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Research Interests
Evolutionary computation, pattern recognition, image processing, machine intelligence
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