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.
Signals and Systems
Community service & Involvement
Past chair of the Central Texas Section of IEEE (Institute of Electrical and Electronic Engineers)