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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

Research

• Selected Publications
• Nonlinear Circuits and Systems
• Neural Systems
• Engineering Education

Courses

• ECE 1230 Mobile Robotics
• ECE 2100 Circuit Analysis
• ECE 3200 Electronics II
• ECE 4810 Senior Design
• ECE 5730 Foundations of Neural Networks
• ECE 5800 System Modeling and Simulation
• ECE 6410 Advanced Electronic Instrumentation
• ECE 6730 Artificial [Advanced] Neural Networks
• ECE 7250 Doctoral Research Seminar

Organizations

• Western Michigan University
• College of Engineering and Applied Sciences
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Resources

• Software
• Online

Personal Interests

• Mantids
• Vacuum Tube Radios

Neural Systems

Dr. Damon A. Miller

Neurobiology Engineering Laboratory

Under the direction of 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 brochure: [PDF]   [html with links].

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

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. 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.
John Stahl, Dual Channel Low Noise Amplifier for Experiments in Neurophysiology, Master of Science in Electrical Engineering thesis, June 2009.
Circuit for cellular neural network experiments as described in 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. Supported by the Western Michigan University Faculty Research and Creative Activities Support Fund.
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. 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.