Department of Electrical and Computer Engineering, WMU


  • 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, King of Prussia, PA
  • Naval Ordnance Station, Louisville, KY
Personal Interests

Neural Systems

Dr. Damon A. Miller

Neurobiology Engineering Laboratory

Co-founded by Dr. Miller and Dr. Severance, the Neurobiology Engineering Laboratory investigates the principles and mechanisms of information processing and knowledge representation in biological neurons and neuronal networks. The laboratory is located in room A-211 in the WMU College of Engineering and Applied Sciences. For details, please consult this information sheet.

Laboratory members Jason Anyalebechi, John Stahl, Dr. Severance, Alex Ferguson, Dr. Koelling, Mike Ellinger, and Dr. Miller

Artificial Neural Systems

The field of artificial neural systems attempts to utilize computational principles of information processing as found in biological organisms to create more effective engineering systems. Dr. Miller's work in this area has focused on methods to select the size of a neural network for a given learning problem. Collaborative work with former WMU students including Rodrigo Arguello and Dr. Garry Greenwood of Portland State University has investigated the use of evolutionary computation techniques in this effort.

Dr. Miller is also interested in hardware implementations of artificial neural systems.

Example Projects

Sr. John-Mary Vianney, D. Miller, and J. Spitsbergen. Experimental apparatus to study the effect of electrical stimulation on production of glial cell line-derived neurotrophic factor in cultured cells. Ben VanDyken constructed the "homemade" portions of this system. image

Above two images courtesy Sr. John-Mary Vianney.
D. Miller, J. Jellies, M. Ellinger, M. Koelling, and C. Linn, Development of an Electrophysiology Rig to Study Optimal Control of Biological Neuron Membrane Voltage. Supported by a 2013-2014 Western Michigan University College of Arts and Sciences Interdisciplinary Research Initiative Award.

Preliminary data from a medicinal leech Hirudo medicinalis P1 neuron captured by the electrophysiology rig. Stimulation currents (top) and neuron membrane voltage responses (bottom). Details were presented in a poster (by D. Miller, J. Jellies, M. Ellinger, M. Koelling, and C. Linn) the 2014 Michigan Chapter for Neuroscience Meeting held at WMU. image image
Leveraging a long line of previous projects in the lab, Kyle Batzer and Donovan Squires developed an Integrated Electrophysiology Data Acquisition and Stimulation System enabling stimulation and measurement of preparations via an array of electrodes using a scripting language as their master thesis projects. image Image courtesy D. Squires. © 2013 D. Squires. Licensed under the Creative Commons Attribution 3.0 Unported License.
image Image courtesy K. Batzer and D. Squires. © 2013 K. Batzer and D. Squires. Licensed under the Creative Commons Attribution 3.0 Unported License.
Michael Ellinger, Acquisition and Analysis of Biological Neural Network Action Potential Sequences, Master of Science in Electrical Engineering thesis, June 2009. Supported by the WMU Graduate Research Student Fund and the NASA Michigan Space Grant Consortium. image>
The waveform was captured by Michael Ellinger from a multichannel systems microelectrode array using ADInstruments hardware and software. It is likely that these spikes correspond to rat cortical neuron action potentials, representing a major milestone in the development of the Neurobiology Engineering Laboratory. image
John Stahl, Dual Channel Low Noise Amplifier for Experiments in Neurophysiology, Master of Science in Electrical Engineering thesis, June 2009. image
Circuit for cellular neural network experiments as described in D. A. Miller, Michael Dozeman, Grant 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. Supported by the Western Michigan University Faculty Research and Creative Activities Support Fund. image
Josh Barr, D. A. Miller, and Louise 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. Co-author L. Barr not listed in paper as published. Supported by the NASA Michigan Space Grant Consortium through graduate research fellowships and Western Michigan University. image