Mohammad Sayeh | ECBE | SIU

Southern Illinois University



Electrical, Computer and Biomedical Engineering

College of Engineering, Computing, Technology, and Mathematics

Mohammad Sayeh

Professor, Ph.D. Oklahoma State University, 1985

Mohammad Sayeh

Office: Engineering E-204

Office Hours: MTWRF: 11-12PM

Phone: (618) 453-7066


Labs: Photonics-1, Photonics-2

Dr. Sayeh's main research interests are in the areas of Photonics and Artificial Neural Networks.  His research focuses on optical means with ANN architectures to solve engineering problems.  Optical delta-sigma modulator with promise of THz modulation rate is his current project.


  • Ph.D. Electrical Engineering, Oklahoma State University, Stillwater, Oklahoma, December, 1985
  • M.E. Electrical Engineering, Oklahoma State University, Stillwater, Oklahoma, August, 1982
  • B.S. Electrical Engineering, Oklahoma State University, Stillwater, Oklahoma, May, 1981

Research Activities

Neural Networks

  • Theory and Application
  • Optical Implementation of Associative Memories, 1986 - present

Teaching Interests

  • Photonics
  • Neural Networks
  • Dynamical Systems

Courses Taught

Undergraduate level

  • Electric Circuits
  • Electromagnetic Fields
  • Linear Systems, Electronics
  • Laser Electronics
  • Solid-State Devices
  • Digital Signal Processing

Graduate level

  • Dynamical Systems
  • Random Systems Modeling and Analysis
  • Neural Networks
  • Optical Information Processing

Short-Courses Taught

  • "Neural Networks for Engineers," SPIE Midwest Conference, Chicago, 1993 and 1995
  • "Artificial Neural Networks," SPIE Midwest Conference, Chicago, 1990 and 1992
  • "Fundamentals of Learning," Artificial Neural Networks in Engineering Conference, St. Louis, 1991, 1992, and 1993

Current Graduate Students

Ph.D. Level

  • John Eynon, "A Learning Technique for Feedforward Neural Networks"
  • Ronald Marusarz, "Image Transmission Through Optical Fiber"

M.S. Level

  • Darren Zenn, "Optical Associative Memories"
  • Kassandra Haak, "Fractional Fourier Transform"


Ph.D. Level

  • R. Athinarayanan, "A Dynamical-System Approach to classification and Recognition of Analog Input Information," 1994

M.S. Level

  • N.S. Haider, "On the Modification of Hopfield Model as an Associative Memory," 1988
  • R. Athinarayanan, "Pattern Classification in Artificial Neural Networks," 1990
  • M. Abbasi, "A Class of Learning Algorithms for Multi-layer Perceptron," 1990
  • X. Yuan, "Study of Diffraction Efficiency of Volume Hologram in LiNbO3," 1991
  • I. Suhrawardy, "Electronic Implementation of Hopfield-type Neural Networks," 1991
  • A. Banergee, "Implementation of a Multi-mode Fiber Optic Smart Sensor Through the Use of Neural Networks," 1992
  • P. Varangis, "Mode Competition in Resonators," 1992
  • B. Arianlou, "Analysis of Intensity Distribution of Multi-mode Fiber Optic Strain Sensor Based on Ray Tracing," 1993
  • P.K. Dhali, "Texture Segmentation Using Clustering Algorithms and Khohonen Network," 1993
  • M. Greatline, "Neural Network Based Autopilot," 1993
  • S. Ahmed, "Simple Multiplexing of Multimode Fiber Optic Strain Sensors Using Artificial Neural Networks," 1994