• I value teaching and research equally and enjoy having a balanced professional life that fulfills both activities. I treat my students and colleagues like close friends and invest in their success. I have taught for over twenty years and seen my students succeed and made wonderful friends in the process.

    • Ph.D. in Electrical Engineering, The Ohio State University
    • M.S. in Electrical Engineering, The Ohio State University
    • B.S. in Electrical Engineering, University of Oklahoma
    • E. Suarez, F. Aminian, and M. Aminian, "The Use of Neural Networks to Describe Nonlinear Mean Reversion: Understanding Integration for Cross-Listed Stocks," Submitted to the Journal of Computational Economics in February 2010.
    • M. Aminian and F. Aminian, "A Modular Fault Diagnostic System for Analog Electronic Circuits Using Neural Networks with Wavelet Transform as a Preprocessor," IEEE Transactions on Instrumentation and Measurement, Vol. 56, No. 5, pp. 1546–1554, Oct. 2007.
    • F. Aminian, D. Suarez, M. Aminian and D. Walz, "Forecasting Economic Data with Neural Networks," Journal of Computational Economics, Vol. 28, pp. 71–88, Dec. 2006.
    • F. Aminian, M. Aminian and B. Collins, "Analog Fault Diagnosis of Actual Circuits Using Neural Networks," IEEE Transactions on Instrumentation and Measurement, Vol.51, No.3, pp. 544–550, June 2002.

    I have conducted research in several areas such as high field transport, electron-molecule interaction, fault diagnosis of analog circuits, and modeling arbitrage opportunities in the financial market. I have experience in Monte Carlo techniques, finite element methods, and neural networks.

    • Circuits
    • Electronics
    • Signals and Systems
    • Engineering Design
    • Past chair of the Central Texas Section of IEEE (Institute of Electrical and Electronic Engineers)