Contact Information

Monson H. Hayes
Georgia Institute of Technology
School of Electrical and Computer Engineering
Atlanta, GA 30332

Curriculum Vitae


HAYES, MONSON H. -   Professor Emeritus
School of Electrical and Computer Engineering
Georgia Institute of Technology

B.A., Physics, University of California, Berkeley     1971
S.M., E.E., Massachusetts Institute of Technology 1978
Sc.D., Massachusetts Institute of Technology  1981
Aerojet Electrosystems Company  
         Systems Engineer 1972-1974
Massachusetts Institute of Technology  
         Teaching Assistant
         Lincoln Laboratory Research Assistant/Summer Staff 1979-1981
ASEE-NASA Langley Summer Faculty Fellow   2000-2002
Georgia Institute of Technology
         Assistant Professor of Electrical Engineering 1981-1986
         Associate Professor of Electrical Engineering 1986-1991
         Professor of Electrical Engineering 1991-Present
         Associate Director, Georgia-Tech Savannah 2005-2010
         Associate Chair, Electrical and Computer Engineering 2005-2010



At Aerojet Electrosystems, responsible for the processing and analysis of data from infrared imaging systems for on-board orbiting satellites. At Georgia Tech, involved in teaching digital signal processing, and engaged in research in adaptive filtering, image and video processing, statistical signal processing, linear and nonlinear signal modeling, face and gesture recognition, multimedia signal processing, and Internet education.  At NASA-Langley worked on signal processing for geosynchronous imaging Fourier transform spectrometers. Has worked with a variety of law firms serving as an expert witness in patent litigation cases on image and video algorithms and technology.


Image and video processing, face recognition for personalization, equation recognition, video for driver awareness, and engineering education.


Fellow - Institute of Electrical and Electronics Engineers, 1992
IEEE ASSP Senior Award “For the author of a paper of exceptional merit,” 1983
Presidential Young Investigator Award, 1984
Georgia Tech ECE Excellence in Continuing Education Award, 2002
Georgia Institute of Technology Outstanding Professional Education Award, 2003.
Member, European Association for Signal Processing (EURASIP) 1991-1998
Member, IEEE ASSP Society DSP Technical Committee: 1984-1989
Chairman, IEEE ASSP Society DSP Technical Committee: 1985-1987
Associate Editor, IEEE Trans. on Acoustics, Speech and Signal Processing, 1984-1988
Secretary/Treasurer, Publications Board of IEEE Transactions on ASSP, 1986-1988
Member, IEEE ASSP Society Administrative Committee, 1987-1989
General Chairman, 1988 ASSP Workshop on Digital Signal Processing.
Member, Constitution and Bylaws Committee, IEEE Signal Processing Society, 1988-1994.
Chairman, ASSP Publications Board, 1988-1994.
Editor-in-Chief, Butterworth Series on Signal Processing, 1991-1993.
Member, Technical Directions Committee, IEEE Signal Processing Society, 1992-present.
General Chairman, 1996 International Conf. on Acoustics, Speech, and Sig. Proc., Atlanta, Georgia.
Associate Editor, IEEE Transactions on Education, 2000 – present.
General Chairman, 2006 International Conference on Image Processing, Atlanta, Georgia.




    1. M.H. Hayes, “Signal Reconstruction From Spectral Phase or Spectral Magnitude,” in Advances in Computer Vision and Image Processing, Chapter 3, vol. 1, Edited by T.S. Huang, JAI Press, 1984.
    2. M.H. Hayes, “The Unique Reconstruction of Multidimensional Sequences From Fourier Transform Magnitude or Phase,” in Image Recovery: Theory and Application, Chapter 6, Edited by H. Stark, Academic Press, 1986.
    3. M.H. Hayes, Statistical Digital Signal Processing and Modeling, John Wiley & Sons, New York, 1996.
    4. M.H. Hayes, Digital Signal Processing, Schaum's Outline Series, McGraw-Hill, New York, 1999.

Selected Journal Papers (Click here for complete list)

    1. M.H. Hayes and J.H. McClellan, “Reducible Polynomials In More Than One Variable,” Proceedings of the IEEE, vol. 70, no. 2, pp. 197-198, Feb. 1982.
    2. M.H. Hayes, “The Reconstruction Of A Multidimensional Sequence From The Phase Or Magnitude Of Its Fourier Transform,” IEEE Trans. on Acoustics, Speech, Sig. Proc., vol. ASSP-30, no. 2, pp. 140-154, April 1982.

      Paper won the 1983 IEEE ASSP Senior Award (for the author of a paper of exceptional merit)

      Reprinted in  “Selected Papers in Multidimensional Digital Signal Processing,” edited by the MDSP Committee of  the ASSP Society, IEEE Press, 1986.
    3. M.H. Hayes, “Inverse Problems: An Overview,” J. Soc. Instr. and Control Eng., vol. 15, no. 12, pp. 1089-1094, JAPAN, Dec. 1986, (invited paper).
    4. C.E. Morris, M.A. Richards, and M.H. Hayes, “An Iterative Deconvolution Algorithm With Quadratic Convergence,” Journal Optical Society of America: A, vol. 4, no 1, pp. 200-207, Jan. 1987.
    5. C.E. Morris, M.A. Richards, and M.H. Hayes, “Fast Restoration Of Linearly Distorted Signals,” IEEE Trans. on Acoustics, Speech, and Sig. Proc., vol. ASSP-36, no. 7, pp. 1017-1025, July 1988.
    6. D.M. Wilkes and M.H. Hayes, “Block Toeplitz Approximation,” Signal Processing, vol. 15, no. 3, pp. 303-313, October 1988.
    7. M.H. Hayes, “Iterated Function Systems for Image and Video Coding,” Journal on Communications, vol. XLV, pp. 11-19, June 1994.
    8. A. Peng and M. Hayes, “Iterative human facial expression modeling,” Image Analysis Applications and Computer Graphics, Lecture Notes in Computer Science, 1024:479-486, 1995.
    9. F.A. Sakarya and M.H. Hayes, “Estimating 2-D DOA Angles Using Nonlinear Array Configurations,” IEEE Trans. on Signal Processing, vol. 43, no. 9, pp. 2212-2216, Sept. 1995.
    10. H. Aydinoglu and M.H. Hayes, “Stereo Image Coding: A Projection Approach,” IEEE Trans. on Image Processing, vol. 7, no. 4, pp. 507-516, April 1998.
    11. B.K. Gunturk, A.U. Batur, Y. Altunbasak, M.H. Hayes, and R.M. Mersereau. "Eigenface-Domain Super-Resolution for Face Recognition," IEEE Trans. Image Processing, vol. 12, No. 5, pp. 597-606, May 2003.
    12. S. Lee and M.H. Hayes, “Properties of the Singular Value Decomposition for Efficient Data Clustering,” IEEE Signal Processing Letters, vol. 11, no. 9, pp. 1-5, Sept. 2004.
    13. A.U. Batur and M.H. Hayes. "Segmented Linear Subspaces for Illumination-Robust Face Recognition," International Journal of Computer Vision, vol. 57(1), pp. 49-66, 2004.
    14. A. Batur and M.H. Hayes, “Adaptive Active Appearance Models,” IEEE Trans. Image Processing, vol. 14, no. 11, pp. 1707-1721, Nov. 2005.
    15. G. Alregib, M. Hayes, E. Moore, and D. Williams, “Using Technology and Tools to Enhance Distributed Engineering Education,” Proceedings of IEEE (Invited Paper), vol. 96, vol. 6, pp. 951-969, June 2008.
    16. A. Borkar, M.H. Hayes, and M. Smith, “A Novel Framework for Evaluating Lane Detection Systems“, to appear in IEEE Transactions on Intelligent Trans. Systems, 2011.

Selected Conference Papers (Click here for complete list)

    1. M.H. Hayes “IFS Image and Video Coding” (Invited Tutorial Paper), Int. Workshop on Image Processing: Theory, Methodology, Systems and Applications, Budapest, June 1994.
    2. A.V. Nefian and M.H. Hayes, “Hidden Markov Models for Face Recognition,” Proc. 1998 Int. Conf. on Acoustics, Speech, and Sig. Proc., Seattle, WA., vol. 5, pp. 2721-2724, May 1998.
    3. A.V. Nefian and M.H. Hayes, “Maximum Likelihood Training of the Embedded HMM for Face Detection and Recognition,” Proc. 2000 International Conf. on Image Processing, Vancouver, 2000.
    4. A. Batur and M.H. Hayes, “Linear Subspaces For Illumination Robust Face Recognition”, Proc. 2001 Conf. on Computer Vision and Pattern Recognition, Hawaii, pp. 296-301, Dec. 2001.
    5. S. Lee and M.H. Hayes, “Real-Time Camera Motion Classification for Content-Based Indexing and Retrieval using Templates,” Proc. 2002 Int. Conf. Acoustics, Speech, and Signal Processing, vol. 4, pp. 3664-3667, Orlando, FL, May 2002.
    6. A. Batur and M.H. Hayes, “A DSP-Based Approach for the Implementation of Face Recognition Algorithms,” Proc. 2003 Int. Conf. on Acoust., Speech, and Signal Proc., Hong Kong, April 2003.
    7. A. Batur and M. Hayes, “A novel convergence scheme for active appearance models,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 359-366, Madison, WI, June 2003.
    8. S. Lee and M.H. Hayes, “A fast clustering algorithm for video abstraction,” Proc. 2003 Int. Conf. on Image Processing, vol. 2, pp. 563-566, Barcelona, Spain, Sept. 2003.
    9. M. Hayes, “Intelligent Video – Making Devices Smarter,” Proc. Of the First 111 International Workshop on Intelligent Video and Social Computing, Shanghai Jiao Tong University, China, July 6-7, 2007.
    10. A. Borkar, M. Hayes, M.T. Smith, S. Pankanti, “A Simple Approach to Lane Detection Using a Combination of the Hough Transform and Iterated Matched Filters,” 2009 IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, March 2009, Nashville, TN