Monson Hayes III, Sc.D.
Professor, Electrical and Computer EngineeringAssociate Director, Georgia Tech Savannah
Contact
Office: PARB A222Phone: 912-963-2571
Email: monty.hayes@ee.gatech.edu
Research Thrusts
Digital Signal ProcessingEducation
Sc.D., Electrical Engineering, Massachusetts Institute of Technology, 1981S.M.E.E., Massachusetts Institute of Technology, 1978
B.A., Physics, University of California, Berkeley, 1971
Research Interests
- Stereo image processing
- Face and gesture recognition
- Multimedia signal processing
- Adaptive signal processing
- Internet education
Since joining the faculty at Georgia Tech in 1981, Dr. Hayes has become internationally recognized for his contributions to the field of digital signal processing. He has published more than 150 articles in journals and conference proceedings, and is the author of two textbooks, Statistical Digital Signal Processing and Modeling (Wiley, 1996), and Schaum’s Outline on Digital Signal Processing (McGraw-Hill, 1999). His research interests include DSP algorithms, signal modeling, image and video coding, stereo image processing, face recognition, multimedia signal processing, and DSP education. His current projects include face recognition for personalization, equation recognition for handheld devices and the classroom, and the use of concept maps and intelligent tutors for learning probability and statistics. Dr. Hayes participated in the ASEE-NASA summer faculty fellowship program from 2002-2004 where he worked on signal processing algorithms for an imaging infrared Fourier transform spectrometer. Dr. Hayes has received a number of awards for his research, including the Senior Award from the IEEE Acoustics, Speech, and Signal Processing Society in 1983, the Presidential Young Investigator Award in 1984, and the Georgia Institute of Technology Excellence in Continuing Education Award in 2002. In 1992 he was elected to the grade of IEEE Fellow “For contributions to signal restoration including the development of algorithms for signal restoration from Fourier transform phase and magnitude.”
