Aly Farag

Professor, Electrical & Computer Engineering


Aly A. Farag, PhD, received the bachelor degree from Cairo University, Egypt and the PhD degree from Purdue University in Electrical Engineering. He joined the University of Louisville in August 1990, where he is currently a Professor of Electrical and Computer Engineering. At the University of Louisville, Dr. Farag founded the Computer Vision and Image Processing Laboratory (CVIP Lab) which focuses on imaging science, computer vision and biomedical imaging. Dr. Farag main research focus is scene analysis, object reconstruction from multimodality imaging, statistical and variational methods for object segmentation and registration. Dr. Farag has co-authored over 350 technical papers in the field of image understanding and co-edited two volumes on Deformable Models for Biomedical Applications (Springer 2007). He is the author of two upcoming textbooks: A course on Digital Signal Processing – Springer, and Statistical Models in Biomedical Image Analysis – Cambridge University Press.

Dr. Farag contributed to a number of scientific, industrial and biomedical applications including novel shape representation, visualization of tubular topologies, 3D object reconstruction from video imaging, biomedical visualization, and in computer-assisted early detection of lung and colon cancer. He holds a number of patents in these applications. Dr. Farag has been principal investigator of a number of long-term projects funded by the NSF, DoD, NIH and various federal and industrial organizations. He introduced a number of new subjects into the ECE curriculum, graduated 26 MS and 15 PhD students and trained ten postdoctoral fellows and a number of Co-OP students.

Dr. Farag is an associate editor of the British Institution of Engineering and Technology Computer Vision Journal (IET-CV) and was an associate editor of the IEEE Transactions on Image Processing (2000—2004). He was general co-chair of the 2009 IEEE International Conference on Image Processing (ICIP-09). He is a regular reviewer for the NSF, NIH and various technical journals and international meetings. He has given a number seminars and invited talks at various universities and research labs worldwide, and has been on tenure and promotion committees of several researchers in the US, Canada, Europe and the Middle East. In 2002, Dr. Farag was awarded a University Scholar designation for his technical achievements.

Teaching Experience

Dr. Farag takes pride in teaching at the undergraduate and graduate levels. Several manuscripts are in various stages of preparation and are planned for publications in the near future. These manuscripts are an outgrowth of the lecture notes on ECE520 (Digital Image Processing), ECE 530 (Stochastic Processes), ECE618 (Digital Image Processing), ECE619 (Computer Vision), ECE 620 (Pattern Recognition), and ECE 641 (Medical Imaging). Dr. Farag has introduced a total of 11 new courses into the ECE curriculum in the past 20 years.

Research Interests

Dr. Farag research focus is model-based computer vision and image understanding with practical and biomedical applications. His contributions have been in active computer vision, image modeling, segmentation, registration, and object reconstruction.