Farzan Aminian

Farzan  Aminian , Ph.D.

Professor and Chair, Engineering Science

Education   Subjects Taught

Ph.D. - Ohio State University (electrical engineering)

M.S. - Ohio State University (electrical engineering)

B.S. - University of Oklahoma (electrical engineering)

 

Circuits

Electronics

Signals and Systems

Engineering Design

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I value teaching and research equally and enjoy having a balanced professional life which fulfill both activities. I treat my students and colleagues like close friends and invest in their success.

1) Innovation is hard to schedule 2) Research is what I am doing when I don't know what I am doing (Wernher Von Braun) 3) The best teachers teach from the heart, not from the book. (author unknown)

I have taught for over twenty years and seen my students succeed and made wonderful friends in the process. I have conducted research in several areas such as high field transprot, electron-molecule interaction, fault diagnosis of analog ciruits and modeling arbitrage opportunities in the financial market. I have experience in Monte Carlo Techniques, finite element methods, and neural networks.


Publications

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.

Community Involvement

Past chair of the Central Texas Section of IEEE(Institute of Electrical and Electronic Engineers)

Contact Information
Department of Engineering Science
Trinity University
One Trinity Place
San Antonio, TX 78212

210-999-7562
faminian@trinity.edu

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