Asem M. Ali

Welcome To My Homepage.

    I am a Ph.D. Student in, Computer Vision and Image Processing Laboratory,

   Electrical and Computer Engineering Department, University of Louisville.

   My main research interests include Image Processing, Statistical Modeling,

   Pattern  Recognition, Computer Vision, Robotics, and Learning Systems.

 Education:

•  University of Louisville, Louisville, Kentucky (Spring 2004-Now)

            Ph.D. Candidate Electrical & Computer Engineering.

•  Assuit University, Assuit, Egypt (August 2002)

           M. Sc. Electrical & Computer Engineering Dissertation Topic Intelligent Control.

•  Assiut University, Assiut, Egypt (August 2003)

           B.Sc. Electrical & Computer Engineering

 Research:

• Image Processing

• Statistical Modeling

• Pattern Recognition

• Computer Vision

• Robotics

• Learning Systems

 Publications:

o       Asem M. Ali, Ayman S. El-Baz, and Aly A. Farag. “Graph Cuts Framework for Kidney Segmentation with Prior Shape Constraints,” Proc. of International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'07, Brisbane, Australia, October 2007, (To Appear) 

o       Asem M. Ali, Ayman S. El-Baz, and Aly A. Farag. “A novel framework for accurate lung segmentation using graph cuts,” Proce. of International Symposuim on Biomedical Imaging, ISBI’07, Arlington, Virginia, April 2007, pp. 908–911. 

o       Ayman El-Baz, Aly A. Farag, Asem M. Ali, Georgy L. Gimel'farb, Manuel Casanova, “A Framework for Unsupervised Segmentation of Multi-modal Medical Images,” Proc. of the Second International Workshop of Computer Vision Approaches to Medical Image Analysis(CVAMIA’06), Graz, Austria, May 2006, pp. 120-131. 

o       Ayman El-Baz, Asem M. Ali, A. A. Farag, G. L. Gimel'farb, “A Novel Approach for Image Alignment Using a Markov-Gibbs Appearance Model,” Proc. of International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'06, Copenhagen, Denmark, October 2006, pp. 734-741.

  Projects:

• Robotics

• Sensor Planning

• Autonomous Refueling

• Face Recognition