Curriculum Vitae

Education

Ph.D. in Computer Science, 1995, Brigham Young University

M.S. in Computer Science, 1991, Brigham Young University

B.S. in Computer Science, 1989, Brigham Young University

Professional Positions

Dissertation & Master's Thesis

Rudolph, George L., Location-Independent Neural Network Models, Ph.D. Dissertation, Computer Science Department, Brigham Young University, August 1995.

Rudolph, George L., A Location-Independent ASOCS Model, M.S. Thesis, Computer Science Department, Brigham Young University, June 1991.

Refereed Journal Publications

Combinatorial Design Theory

Rudolph, G., "A Constraint Language Approach to Constructing Cyclic PBIBD(2)s". J. Comb. Designs, submitted 2007 .

Francel M., Hurd, S., Rudolph, G., Sarvate, D. "The Anatomy of a Design". Congressus Numerantium 181, pp. 77-88, 2006.

Neural Networks

Rudolph, G.L., Martinez, T.R. " A Transformation Strategy for Implementing Distributed Multilayer Feedforward Networks: Backpropagation Transformation". Future Generation Computer Systems, vol. 12, pp. 547-564. Elsevier Science, B.V. 1997.

Rudolph, George L., and Tony R. Martinez. "LIA: A Location-Independent Transformation for ASOCS Adaptive Algorithm 2". International Journal of Neural Systems, vol. 7, no. 5, pp. 639-653, 1996.

Rudolph, George L., and Tony R. Martinez. "An Efficient Transformation for Implementing Two-layer Feedforward Neural Networks". Journal of Artificial Neural Networks, vol. 2, no. 3, pp. 263-282, 1995.

Rudolph, George L., and Tony R. Martinez." A Transformation for Implementing Localist Neural Networks." In Neural Parallel and Scientific Computations, vol. 3, no. 2, pp. 173-188, 1995.

Rudolph, George L., and Tony R. Martinez. "Location-Independent Transformations: A General Strategy for Implementing Neural Networks". In International Journal on Artificial Intelligence Tools, vol. 3, No. 3, pp. 417-427, 1994.

Refereed Conference Publications

Rudolph, George L., and Tony R. Martinez. "A Transformation for Implementing Efficient Dynamic Backpropagation Neural Networks". In Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms, pp. 41-44, 1995.

Rudolph, George L., and Tony R. Martinez. "A Transformation for Implementing Neural Networks with Localist Properties". In Intelligent Systems". E. A. Yfantis (ed.), Vol. 1, pp. 637-645, Kluwer Academic Publishers, 1995.

Stout, Matthew, Linton Salmon, George Rudolph, and Tony R. Martinez. "A Multi-Chip Module Implementation of a Neural Network". Proceedings of the IEEE Multi-Chip Module Conference MCMC-94, pp. 20-25, 1994.

Stout, Matthew, George Rudolph, Tony R. Martinez, and Linton Salmon. "A VLSI Implementation of a Parallel Self-Organizing Learning Model". Proceedings of the 12^th International Conference on Pattern Recognition, vol. 3, pp. 373-376, 1994.

Martinez, Tony R., and George Rudolph. "A Learning Model for Adaptive Network Routing." Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications IWANNT93, pp. 183-187, 1993.

Rudolph, George L., and Tony R. Martinez. "An Efficient Static Topology for Modeling ASOCS." International Conference on Artificial Neural Networks. In Artificial Neural Networks, Kohonen, et. al. (eds), Elsevier Science Publishers, pp. 729-734, 1991.

Rudolph, George L., and Tony R. Martinez. "DNA: A New ASOCS Model With Improved Implementation Potential". In Proceedings of the IASTED International Symposium on Expert Systems and Neural Networks, pp. 12-15, 1989.

Campbell, D., G. Rudolph. "A Polynomial Time Algorithm for Extended 2Sat." Proceedings, Western Educational Computing Conference, pp. 151-155. Western Periodicals Company, North Hollywood, CA. 1989.

Unpublished Papers

G. Rudolph. "Some Guidelines For Deciding Whether To Use A Rules Engine". JESS mail archives at http://www.mail-archive.com/jess-users@sandia.gov/msg01887.html, 2000.

Courses Taught

Following is a list of courses I have taught at The Citadel by semester.

Professional Activities

• Member, IEEE Computational Intelligence Society (formerly IEEE Neural Networks Society)
• Member, IEEE Robotics & Automation Society
• 2005-present: Teach Robotics course in the Summer Science Program at the Governor's School for Science and Mathematics
• 2004-present: Computer Science Category Judge at Annual Regional Science Fair (grades 6-12)