SRIDHAR NARAYAN

Associate Professor
Department of Computer Science
University of North Carolina at Wilmington

E-mail: narayans@uncwil.edu

1. Education

   • Ph.D., Computer Science, Clemson University, 1993
   • M.S., Computer Science, Clemson University, 1990
   • M.S., Mechanical Engineering, Clemson University, 1985
   • B.Tech., Mechanical Engineering, Indian Institute of Technology, Madras, 1983
2. Technical Interests

   • Neural Networks
   • Genetic Algorithms
   • Wavelets
   • Object Oriented Programming/Java
3. Professional Experience

   [July]2000 - present: Department of Computer Science. Associate Professor

   [July]1995 - June 2000: Department of Computer Science, University of North Carolina-Wilmington. Assistant Professor

   [August]1994 - June 1995: Department of Mathematical Sciences, University of North Carolina-Wilmington. Visiting Assistant Professor of Computer Science

   [January]1994 - August 1994: Department of Computer Science, Clemson University, Clemson, South Carolina. Visiting Instructor

   [1990]- 1993: Department of Computer Science, Clemson University, Clemson, South Carolina. Graduate Teaching Assistant

   [1988]- 1990: Computer Center, Clemson University, Clemson, South Carolina. Graduate Assistant

   [1986]- 1988: Computer Sciences Corporation, Research Triangle Park, North Carolina. Programmer Analyst

   [1985]- 1986: CRS Sirrine, Inc., Research Triangle Park, North Carolina. Staff Engineer

   [1983]- 1985: Department of Mechanical Engineering, Clemson University, Clemson, South Carolina. Research/Teaching Assistant

4. Recent Publications

   1. S. Narayan, ``Enhancing incremental learning in MLP networks using ensemble encoding of network inputs,'' Proceedings of the International Joint Conference on Neural Networks (IJCNN'99), (Washington D.C), July 1999.
   2. S. Narayan, B. Wray, R. Mathieu, ``Artificial neural networks for predicting the optimal number of kanbans in a JIT manufacturing environment,'' Proceedings of the International Joint Conference on Neural Networks (IJCNN'99), (Washington D.C), July 1999.
   3. A. Abdelbar and S. Narayan, ``Using Simulated Annealing to optimize receptive fields for MLP networks with ensemble encoding,'' Proceedings of the International Joint Conference on Neural Networks (IJCNN'99), (Washington D.C), July 1999.
   4. S. Narayan, ``On signal classification, wavelets, and neural networks,'' Proceedings of the Third International Conference on Computational Intelligence and Neurosciences, (Research Triangle Park, NC), Vol. II, pp. 241-244, October 1998.
   5. S. Narayan, ``Identification of dolphin signature whistles using artificial neural networks,'' Proc. Science and Applications of Artificial Neural Networks, SPIE's 11th Annual International Symposium on Aerospace/Sensing, Simulation, and Controls, Orlando, FL, pp. 319-322, April 1997.
   6. S. Narayan, ``The Generalized Sigmoid Activation Function: Competitive Supervised Learning,'' Information Sciences, Vol. 99, Issue 1-2, pp. 69-82, June 1997.
   7. S. Narayan, ``On the behavior of K-out-of-N Hopfield networks,'' Intelligent Systems, Vol. 96, Issue 3-4, pp. 183-191, February 1997.
   8. S. Narayan, G. A. Tagliarini, and E. W. Page, ``Enhancing MLP networks using a distributed data representation,'' IEEE Transactions on Systems, Man and Cybernetics, vol. 26, no. 1, pp. 143-149, February 1996.

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