Michael Zmuda |
|
EDUCATION:
Ph.D. Computer Science. Wright State University, 1992.
M.S. Computer Science. Wright State University, 1989.
B.S. Computer Science and Mathematics. Eastern Michigan Univ., 1987.
ACADEMIC EXPERIENCE:
Associate Professor, Miami University, Oxford, OH, 2003-present.
Assistant Professor, Miami University, Oxford, OH, 1997-2003.
Adjunct Professor, Air Force Institute of Technology, 1993-1996.
Adjunct Professor, Wright State University, 1991-1996.
PROFESSIONAL EXPERIENCE:
Principle Engineer, UMI, Dayton, OH, 1996 - 1997.
Software Project Manager, Spectra Research, Centerville, OH, 1995 - 1996.
Research Scientist, Wright-Patterson Air Force Base, Wright Laboratory, 1992 - 1995.
GRANTS:
"Extension of Hybrid Evolutionary Learning for Pattern Recognition Contract (HELPR) to Three-Dimensional Target Classification." U.S. Air Force contract. A $200,000 joint project with Prof. Mateen Rizki of Wright State University, 2002-2004.
"Evolving Pattern Recognition Systems: A Multi-Faceted Approach." Air Force Contract #33615-99-C-1441 A $340,000 four year joint project with Prof. Mateen Rizki of Wright State University, 1998-2002.
JOURNAL PUBLICATIONS:
Zmuda, M., M. Rizki, and L. Tamburino. “Mutating Real-Valued Vectors Using Angular Displacement” International Journal on Artificial Intelligence Tools, pp 509-526, 2003.
Zmuda, M., M. Rizki, and L. Tamburino. “An Evolutionary Learning for Synthesizing Multi-Class Pattern Recognition Systems,” Applied Soft Computing 2(4), pp. 269-282, 2003.
M. Rizki, Zmuda, M., and L. Tamburino. “Evolving Pattern Recognition Systems,” IEEE Transactions on Evolutionary Computation, pp. 594-609, Dec. 2002.
Zmuda, M. “A stochastic algorithm for approximating the soft morphological operators”. Optical Engineering, pp. 2746-2752, Dec., 2001.
Zmuda, M. and L. Tamburino, "Efficient Algorithms for Soft Morphological Operators,” IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1142-1147, Nov., 1996.
Zmuda, M., L. Tamburino, and M. Rizki, "An Evolutionary Learning System for Synthesizing Complex Morphological Filters," IEEE Transactions on Systems, Man, and Cybernetics, pp. 645-653, Aug., 1996.
Tamburino, L., M. Rizki, and M. Zmuda, "Generating Pattern Recognition Systems Using Evolutionary Learning," IEEE Expert, pp. 63-68, Aug., 1995.
SELECTED CONFERENCE PAPERS
Zmuda, M., M. Rizki, and L. Tamburino. "Optimizing linear discriminants using evolutionary learning," Proceedings of the Artificial Neural Networks in Engineering Conference. ASME Press, 2002.
Tamburino, L., M. Rizki, and M. Zmuda, "HELPR Evolved Pattern Recognition Systems," World Multiconference on Systemics, Cybernetics, and Informatics Vol XIII, pp. 212-217, 2001.
Zmuda, M. "Recovering Tabular Information from ASCII Documents Using Evolutionary Programming," Proceedings of the Artificial Neural Networks in Engineering Conference. ASME Press, pp 189-195, 2001.
Wheeler, M. and M. Zmuda. "Processing Color and Complex Images Using Mathematical Morphology," Proceedings National Aerospace and Electronics Conference, pp. 618-624, 2000.
Zmuda, M., L. Tamburino, and M. Rizki. "Automated Synthesis of Pattern Recognition Systems" Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining, and Complex Systems. ASME Press, pp 381-386, 1999.
MAJOR INTEREST AREAS:
Evolutionary Computation
Machine Learning
Cooperative learning
