For a complete CV, click here.

Dr. Hayes received his Sc.D. in Electrical Engineering and Computer Science from M.I.T. in 1981 and then joined the faculty in the School of Electrical and Computer Engineering at Georgia Tech. From 2006 until 2011, he was an Associate Chair for ECE and Associate Director of the Savannah Campus of Georgia Tech. From 2011-2014 he was a Distinguished Foreign Professor at Chung-Ang University in Seoul, Korea in the Graduate School of Advanced Imaging Science, Multimedia and Film. In addition to teaching and research in the graduate school, he also developed and taught undergraduate courses for a new program in the School of Integrative Engineering.

Since August of 2014, Dr. Hayes has been Professor and Chair of the Department of Electrical and Computer Engineering at George Mason University in Fairfax, VA., and he is also currently Professor Emeritus in the Department of Electrical and Computer Engineering at the Georgia Institute of Technology.

 Dr. Hayes has become internationally recognized for his contributions to the field of digital signal processing. He has published more than 200 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 has been in the general areas of signal processing, image and video processing, image and video compression, face recognition, equation recognition, gesture recognition, single and multiple camera systems for driver assistance, computational cameras, image and video processing for consumer electronic devices, pattern recognition and machine learning and deep learning. More recently, he has become involved in machine learning.

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. 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 or magnitude." For his innovative research in education and educational technoloies, Dr. Hayes received the Georgia Institute of Technology Excellence in Continuing Education Award in 2002. He was awarded the Chair of Excellence Award in Deep Lerning from Banco de Santander in 2014.

 Dr. Hayes has been very active in professional service having served as member and Chairman, Associate Editor for the IEEE Transactiona on Acoustics, Speech, and Signal Processing (ASSP), Associate Editor for the IEEE Transactions on Education, Secretary-Treasurer of the Publications Board of the IEEE Transaction on ASSP, Member of the IEEE Signal Processing Administrative Committee, Chairman of the ASSP Publications Board, General Chairman of the 1996 International Conference of Acoustics, Speech, and Signal Processing (Atlanta, Georgia), General Chair of the 2006 International Conference on Image Processing (Atlanta, Georgia), and General Chair of the 2018 International Conference on Acoustics, Speech and Signal Processing (Calgary, Alberta CANADA).

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. He spent three years teaching and doing research at Georgia Tech Lorraine (Metz, France). In addition, he has taught courses and performed research at the following universities: Shanghai Jiao Tong University (Shanghai, China), Universidad Carlos III de Madrid (Madrid, Spain), and Seoul National University, Korea University, and Chung-Ang University (all three in Seoul, Korea).

Dr. Hayes has developed and delivered numerous professional education courses and has served as a consultant to industy. He has also worked with numerous law firms as an expert witness in patent litigation cases in cases involving MPEG compression, signal processing in digital cameras, video cameras, and cell phones, and driver assistance systems for automobiles.

 

 

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