m7ossny

Mohammed Hossny is a Ph.D. student at Deakin University, Faculty of Science and Technology. His research interest now regards Haptics, Image processing and Augmented Reality. He has got [login to view URL]. degree on 10th May 2004 from Cairo University. The main contribution was driving implicit equations for digital images. He made use of Radial Basis Functions Networks, and Fuzzy C-Means Classifiers to encode digital images into coefficients of RBF implicit functions. In 2001, he has employed Puls-Coupled Neural Networks (PCNN) as well as Fuzzy Classifiers to detect renal stones in X-Ray images. The project was rated excellent. Hossny has got his [login to view URL]. in Computer Science on May 2000, and was ranked first. His graduation project was driving a Software Engineering Model for Multimedia Based Authoring. The project was ranked excellent. Hossny worked as a full time TA in his Faculty of Computers and Informatics, Cairo University. He was also a part-time research programmer in IBM Technology Development Center (TDC) in Cairo. Hossny has worked in many projects regarding Image Processing, and Computer Graphics. A sample of these projects includes Texture Synthesis and Recovery, 3D Hole-Filling, 3D Viewer on Handheld Devices (150 Mhz, 32 MB RAM, and no graphics card). He is basically interested in soft computing, image processing, computer graphics and mathematical modelling. He is fond of STL C++ libraries, having a good algebraic view of containers and iterators. Hossny is now preparing an algebraic C++ library for his Ph.D.. Actually, it includes MatLab's indexing facilities with an STL-like interfaces. It simulates general and topological spaces, fields, and other highr algebraic tools.