Aly Farag


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.


  • Ph.D. in Electrical Engineering, Purdue University, 1990
  • M.S. in Bioengineering, University of Michigan - Ann Arbor, 1984
  • M.S. in Biomedical Engineering, The Ohio State University, 1981
  • B.S. in Electrical Engineering, Cairo University, 1976


Face recognition in low resolution thermal images- 2013

This paper proposes an accurate, rotation invariant, and fast approach for detection of facial features from thermal images. The proposed approach combines both appearance and geometric information to detect the facial features. A texture based detector is performed using Haar features and AdaBoost algorithm. Then the relation between these facial features is modeled using a complex Gaussian distribution, which is invariant to rotation. Experiments show that our proposed approach outperforms existing algorithms for facial features detection in thermal images. The proposed approach's performance is illustrated in a face recognition framework, which is based on extracting a local signature around facial features. Also, the paper presents a comparative study for different signature techniques with different facial image resolutions. The results of this comparative study suggest the minimum facial image resolution in thermal images, which can be used in face recognition. The study also gives a guideline for choosing a good signature, which leads to the best recognition rate.

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