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Education
  • Ph.D., University of Louisville, Computer Science and Engineering, 1997
  • M.Eng., University of Louisville, Electrical Engineering, 1989
  • B.S., University of Louisville, Engineering Science, 1988
Industrial Experience
  • Lockheed Martin, Valley Forge, PA
  • Naval Ordnance Station, Louisville, KY
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Selected Downloadable Publications

Dr. Damon A. Miller

Papers on this page have been indexed at Science Acceleterator, a resarch tool "made available by the Office of Scientific and Technical Information (OSTI), U.S. Department of Energy. Science Accelerator was developed and is made available by OSTI as a free public service.

 

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Refereed Journal Papers

  1. G. Grassi and D. A. Miller, "Projective synchronization via a linear observer: Application to time-delay, continuous-time, and discrete-time systems," International Journal of Bifurcation and Chaos, vol. 17, pp. 1337-1342, April 2007.
  2. G. Grassi and D. A. Miller, "Theory and experimental realization of observer-based discrete-time hyperchaos synchronization," IEEE Transactions on Circuits and Systems-I: Fundamental Theory and Applications, vol. 49, pp. 373-378, March 2002.
  3. D. A. Miller and G. Grassi, "Experimental realization of observer-based hyperchaos synchronization," IEEE Transactions on Circuits and Systems-I: Fundamental Theory and Applications, vol. 48, pp. 366-374, March 2001.
  4. D. A. Miller and J. M. Zurada, "A dynamical system perspective of structural learning with forgetting," IEEE Transactions on Neural Networks, vol. 9, pp. 508-515, May 1998.
Refereed Conference Papers
  1. D. A. Miller, B. Bazuin, J. Lillrose, P. Tamayo, and G. Grassi, "Experimental and simulated generation of bandlimited noise for communication system bit error rate evaluation," in Proceedings of the 2005 IEEE International Midwest Symposium on Circuits and Systems, (Cincinnati, OH), August 7-10, 2005.
  2. D. A. Miller, R. Arguello, and G. W. Greenwood, "Evolving artificial neural network structures: Experimental results for biologically inspired adaptive mutations," in Proc. of the 2004 Congress on Evolutionary Computation, (Portland, OR), pp. 2114-2119, June 19-23, 2004.
  3. D. A. Miller, F. L. Severance, and C. Graves, "Bridging the lecture-laboratory gap with a web-based interactive circuit demonstration system," in Proc. of the 2004 American Society for Engineering Education North Central Section Conference, (Kalamazoo, MI), April 1-3, 2004.
  4. D. A. Miller, M. Dozeman, G. Westphal, and I. Abdel-Qader, "A hybrid analog/digital circuit for experiments in controlling chaos," in Proc. of the 45th IEEE Midwest Symposium on Circuits and Systems, vol. 1, (Tulsa, Oklahoma), pp. 188-191, August 4-7, 2002.
  5. D. A. Miller, B. Bazuin, D. Kerr, and G. Grassi, "Experimental performance of a coherent communication system based on hyperchaos synchronization," in Proc. of the 45th IEEE Midwest Symposium on Circuits and Systems, vol. 3, (Tulsa, Oklahoma), pp. 516-519, August 4-7,
  6. D. A. Miller and G. Grassi, "A discrete generalized hyperchaotic Hénon map circuit," in Proc. of the 44th IEEE Midwest Symposium on Circuits and Systems, vol. 1, (Dayton, OH), pp. 328-331, August 14-17, 2001.
  7. J. Barr, D. A. Miller, and L. Barr, "A hybrid analog/digital chaotic associative memory," in Proc. of the 43rd IEEE Midwest Symposium on Circuits and Systems, vol. 3, (Lansing, MI), pp. 1018-1021, August 8-11, 2000. Invited paper. L. Barr not listed as co-author in published version.
  8. D. A. Miller, G. Greenwood, and C. Ide, "On the use of biologically-inspired adaptive mutations to evolve artificial neural network structures," in Proc. of the First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks, (San Antonio, TX), pp. 24-32, May 11-12, 2000.
  9. S. Draghici and D. A. Miller, "A VLSI neural network classifier based on integer-valued weights," in Proc. of the International Joint Conference on Neural Networks, (Washington, D.C.), July 10-16, 1999.
  10. D. A. Miller, K. L. Kowalski, and A. Lozowski, "Synchronization and anti-synchronization of Chua's oscillators via a piecewise linear coupling circuit," in Proc. of the 1999 IEEE International Symposium on Circuits and Systems, vol. 5, (Orlando, Florida), pp. 458-462, May 30 - June 2 1999.
  11. D. A. Miller and J. M. Zurada, "Dynamics of structural learning with an adaptive forgetting rate," in Proc. of the International Conference on Neural Networks, vol. 3, (Houston, Texas), pp. 1827-1832, June 9-12, 1997.
  12. D. A. Miller, J. M. Zurada, and J. H. Lilly, "Pruning via dynamic adaptation of the forgetting rate in structural learning," in Proc. of the International Conference on Neural Networks, vol. 1, (Washington, D.C.), pp. 448-452, June 3-6, 1996.
  13. A. Malinowski, D. A. Miller, and J. M. Zurada, "Reduction of neural network models for identification and control of nonlinear systems," in Proc. of the International Conference on Neural Networks, vol. 4, (Washington, D.C.), pp. 2250-2254, June 3-6, 1996.
  14. A. Lozowski, D. A. Miller, and J. M. Zurada, "Dynamics of error backpropagation learning with pruning in the weight space," in Proc. of the IEEE International Symposium on Circuits and Systems, vol. 3, (Atlanta, Georgia), pp. 449-452, May 12-15, 1996.