Department
Department of Engineering Science
Phone
+1 (210) 9997562
Email Address
faminian@trinity.edu
Location
Center for the Sciences and Innovation
Room
470E
Website
Farzan Aminian's Digital Commons Page
Headshot of Farzan Aminian

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.

Education

  • 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

Selected 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.

Subjects Taught

  • Circuits
  • Electronics
  • Signals and Systems
  • Engineering Design

Community Service & Involvement

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

Teaching and Expertise

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.