Marc Karam, Ph.D

Associate Professor 

Department of Electrical Engineering,
email: karam@mytu.tuskegee.edu
Ph: 334 727 8991
Fax: 334 724 4806


EDUCATION

Ph.D., Systems Engineering, April 99 ,Oakland University, Rochester, Michigan

M.S., Electrical Engineering, December 1994, University of Nevada, Reno, Nevada

B.S., Electrical Engineering, October 1991, University of Saint Joseph, E.S.I.B, Beirut, Lebanon


APPOINTMENTS

Tuskegee University
Associate Professor of Electrical Engineering, August 1999 – Present

Oakland University, Rochester, Michigan
Research Assistant, 10/95 - 4/96
Teaching Assistant 9/94 - 11/98

University of Nevada, Reno, Reno, Nevada
Research Assistant, 1/93 - 10/93
Energy Audit and Diagnostic Center, 4/94 - 8/94

A-OK Controls Engineering, Auburn Hills, Michigan
Design Engineer, 2/99 - 7/99

DaimlerChrysler, Auburn Hills, Michigan
Research Engineer, 10/95 - 4/96


RESEARCH

Control Systems: Linear and Nonlinear Control, Classical and Optimal Control

Signal Processing: Vibration Analysis, Noise Reduction and Cancellation

Artificial Intelligence: Neural Networks and Fuzzy Logic in Control and Signal Processing Applications

Simulation: using Matlab/Simulink and Spice in Simulation and Analysis of Electrical and Mechanical Systems

Design of Digital Systems



JOURNAL PUBLICATIONS

1. M. Karam, M.A. Zohdy, and H.S. Abdel-Aty-Zohdy, “A Modular Recurrent Dynamic Neural Network for Robust Optimal Control,” Control and Intelligent Systems Journal, Volume 31, No. 3, pp.160-172, 2003.

2. M. Karam, M.A. Zohdy, and S.S. Farinwata, “Robust Optimal Control Using Recurrent Dynamic Neural Network,” 2001 IEEE Conference on Control Applications (CCA), September 5-7, 2001, Mexico City, Mexico.

3. M. Karam, M.A. Zohdy, and H.S. Abdel-Aty-Zohdy, “Robust Recurrent Dynamic Neural Network for Solving Linear and Nonlinear Signal Representation Problems,” International Journal of Systems Science, Volume 30, No. 3, pp. 261-274, March 1999.

4. M.A. Zohdy, M. Karam, and H.S. Abdel-Aty-Zohdy, “A Recurrent Dynamic Neural Network for Noisy Signal Representation,” Neurocomputing, Volume 17, pp 77-97, 1997.

5. M. Karam, M. Ghassemzadeh, N. Dai, M. Gandikota, and A.M. Trzynadlowski, “Validation and Recovery of Vibration Data in Electromachine Systems Using Neural Network Software,” IEEE Transactions on Industry Applications, Volume 30, No. 6, pp. 1588-1599, November/December 1994.


CONFERENCE PUBLICATIONS

1. C. Cliston, M. Karam and H. Aglan, “Spectral Subtraction of Noise in Speech Processing Applications,” Proceedings of the 40th Southeastern Symposium on System Theory, University of New Orleans, New Orleans, Louisiana, pp. 50-53, March 16-18, 2008.

2. M. Karam and M.A. Zohdy, “Development of a Model-Based Dynamic Recurrent Neural Network for Modeling Nonlinear Systems,” Proceedings of the 4th International Conference on Information Technology: New Generations, Las Vegas, Nevada, pp. 503-506, April 2-4, 2007.

3. M. Karam and M.A. Zohdy, “Modeling a Simple Inverted Pendulum Using a Model-Based Dynamic Recurrent Neural Network,” Proceedings of the 37th Southeastern Symposium on System Theory, Tuskegee University, Tuskegee, Alabama, pp. 78-82, March 2005.

4. K. White, M. Karam, and M.S. Fadali, “Performance Enhancement of a Fourier/Hopfield Neural Network for Nonlinear Periodic Systems Representation,” Proceedings of the 36th Southeastern Symposium on System Theory, Georgia Tech Research Institute, Georgia Institute of Technology, pp. 54-58, March 2004.

5. M. Karam, M.S. Fadali, and K. White, “A Fourier/Hopfield Neural Network for Identification of Nonlinear Periodic Systems,” Proceedings of the 35th Southeastern Symposium on System Theory, West Virginia University, Morgantown, pp. 53-57,March 2003.

6. M. Karam and M.A. Zohdy, “Nonlinear Model-Based Dynamic Recurrent Neural Network,” Proceedings of the 44th IEEE 2001 Midwest Symposium on Circuits and Systems, Dayton, Ohio, pp. 624-626, August 14-17, 2001.


HONORS AND AWARDS
  • Tau Beta Pi National Engineering Honor Society
  • Eta Kappa Nu National Electrical Engineering Honor Society
  • Outstanding Faculty Performance Award for Teaching in the College of Engineering, Architecture, and Physical Sciences, for the academic year 2003-2004.
  • Engineering Teacher of the Year award from the TUBE (Tuskegee University Engineering and Business) conference on April 3rd, 2003.


AFFILIATIONS
  • IEEE.
  • Alabama Academy of Sciences.
  • American Lebanese Engineering Society (ALES).


SYNERGISTIC ACTIVITIES
  • Developed the Control Systems Laboratory at Tuskegee University through an NSF grant
  • Developed the Freshman Engineering Design course (EENG 0192) at Tuskegee University
  • Faculty advisor of the Tuskegee University chapter of Eta Kappa Nu Electrical Engineering Honor Society
  • Served as Undergraduate Coordinator of the Electrical Engineering (EE) Department
  • Chaired the EE Department Undergraduate Curriculum committee
  • Served as President-Elect of the Tuskegee University Chapter of SIGMA XI, the scientific research society for the year academic year 2003-2004
  • Member of the 2001 and 2002 President’s Essay Contest committee at Tuskegee University


PROFESSIONAL ACTIVITIES
  • IEEE, Alabama Academy of Sciences, Sigma Xi Scientific Research Society
  • Chaired the Publications Committee of the SSST05 Conference held in March 2005 at the Kellogg Center, Tuskegee University
  • Presented the talk “Establishing the Need for Major Research Instrumentation” at the Quality Education for Minority Proposal Development and Evaluation Workshop for NSF’s Major Research Instrumentation program at the Hilton Atlanta Airport, Atlanta, Georgia, on Friday October 22, 2004
  • Served as President-Elect of the Tuskegee University Chapter of SIGMA XI, the scientific research society for the year academic year 2003-2004
  • Chaired the session entitled “Advances in Neural Learning” at the 44th IEEE 2001 Midwest Symposium on Circuits and Systems, August 17, 2001 
  • Presented the talk “Engineering Challenges for the First Decade of the New Millennium” at the 2001 annual conference of the American Lebanese Engineering Society
  • Research area: Artificial Intelligence through the use of Neural Networks and Fuzzy Logic in control and signal processing applications


COLLABORATORS
  •  Collaborators (within last 48 months)
Dr. Mohamed A. Zohdy, Oakland University, Rochester, Michigan (co-author)
Dr. M. Sami Fadali, University of Nevada, Reno (co-authors)

  •  Thesis Advisor and Committee
M.S. Thesis Advisor: Tuskegee University. Benedicta Obeng, Modather Suliman, Shiva Shagabandi, Cliston Cole, Mamoun Ibrahim, and Anas Abu-Safieh
M.S. Thesis Advisory Committee: Tuskegee University. Arindra Guha, Okechkwu Akpa, Rashed Golam, Alphonse Tegueu, Pavan Akavaram, Ekekwe Ndubisi, Justice Nduba, Agbontaen Abayomi Imasuen, Mustafa Saeed , Vinod Villoth, and Michael Anasarah Awaah