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 250 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 (distinguished university professor) designation for his technical achievements.

 Dr. Farag's Homepage.     Dr. Farag' s CV  (January 09).

Mike Miller is a research engineer with  the CVIP Lab.  He received his Masters Degree in Electrical Engineering in 1979 from the University of Louisville, and brings twenty years of industry experience in design of computer products for Texas Instruments and VeriFone Inc. His experience includes Vision Aided testing design and algorithms,  ASIC design, Notebook Computer Design,  and Printer Design technology.  He also worked in Design of Secure Banking terminals. He joined the CVIP Lab in Fall 2002, where he has been involved  with various computer vision projects, including autonomous mobility, multimodality object scanning, and  integrated biometrics project. He oversees various outreach activities at the CVIP Lab and provides assistance with research compliance and university regulations. In addition, he provides assistance in maintenance of the laboratory facilities  and supervises various co-op activities at the Lab. Miller' s CV

Chuck Sites is a University of Louisville staff member for the Electrical and Computer Engineering Department. He received a Bachelor degree in Physics from the University of Louisville in 1990. He has over twenty five years of experience in the computer and electronics industry. He manages the computer systems and networks of the Electrical and Computer Engineering Department and is the System Administrator and Technical Advisor for the CVIP Laboratory. He has been investigator with the Lab since 1996 where he actively participated in developing various 3D object reconstruction methods, the Lab surgical simulation system, and the CardEye active vision platform. He has been involved in various university-wide agendas for computing and networking and was a co-investigator in the NSF vBNS networking proposal which lead to advancing the networking infrastructure at the University of Louisville. He is a catalyst in various outreach projects at the CVIP Lab, including  the Mummy project that has been featured at the Louisville Science Center in February 2008.

Salwa Elshazly holds bachelor degree in Biology and a postgraduate two-year computer science degree. She has over 20 years of experience in data analysis and machine learning as related to cancer, epidemiology, and assessment of technology on healthcare delivery and quality of life in a modern society. During the past 10 years, she has been with the CVIP Lab as a Research Assistant I and co-investigator on various projects dealing with biomedical data analysis. She has been actively involved with the lung cancer screening project, demographic studies as related to colon cancer, traumatic brain injury and various other imaging-based studies. She is an entrepreneur with focus on  imaging technology as applied to education, environment, security and healthcare.