George Freeman, PEng
Biography
George Freeman is a Professor Emeritus in the Department of Electrical and Computer Engineering at the University of Waterloo.
His research focuses on signal processing for digital communications, the development of optimal lossless data compression algorithms, and applications in storage and recognition for speech and image coding.
Beyond his research achievements, Dr. Freeman has been honored with the Dedicated Service Award from the Canadian Association of University Teachers, recognizing his outstanding service to academic staff associations.
Research Interests
Signal processing, Wavelet analysis, Medical image processing, Speech recognition, Data-compression,
Education
1984, Doctorate PhD, University of Waterloo, Ontario
1979, Bachelor's BASc, University of Waterloo, Ontario
Teaching*
- BME 121 - Digital Computation
- Taught in 2020, 2021
* Only courses taught in the past 5 years are displayed.
Selected/Recent Publications
Mohamed, Samar Samir and Li, JM and Salama, Magdy MA and Freeman, George H and Tizhoosh, Hamid R and Fenster, A and Rizkalla, K, An automated neural-fuzzy approach to malignant tumor localization in 2D ultrasonic images of the prostate, Journal of digital imaging, 411, 2011
Mohamed, SS and Li, J and Salama, Magdy MA and Freeman, G, Prostate tissue texture feature extraction for suspicious regions identification on TRUS images, Journal of digital imaging, 503, 2009
Fok, Stanley and Wang, David WL and Ni, Liya and Freeman, George, A Pilot Study of Video Compression Techniques for Stereoscopic Telepresence Applications, Presence, 139, 2009
Alajlan, Naif and Kamel, Mohamed S and Freeman, George H, Geometry-based image retrieval in binary image databases, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1003, 2008
Alajlan, Naif and El Rube, Ibrahim and Kamel, Mohamed S and Freeman, George, Shape retrieval using triangle-area representation and dynamic space warping, Pattern Recognition, 1911, 2007
Graduate studies
Not currently accepting applications for graduate students.