Dr. Ali Qusay Al-Faris

Assistant Professor
Worcester State University

Highest Degree
M.Sc. in Computer Science from University Teknologi Malaysia, Skudai, Johor, Malaysia

My URL
https://livedna.org/60.5223

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Biography

Mr. Ali Qusay Al-Faris is Ph.D. student in Image Processing from Universiti Sains Malaysia, Palau Pinang, Malaysia. His main area of expertise includes Artificial Intelligence, Pattern Recognition, Image Processing, Segmentation, Medical Images, Classification, and Processing. He has published 4 research articles in journals. He also served as editorial board and review Committee member at International Journal Image Processing and Visual Communication (IJIPVC), and reviewer at the IEEE Colloquium on Humanities, Science and Engineering Research (CHUSER 2012), Kota Kinabalu, Sabah, Malaysia on the 3 to 4 December 2012.

Area of Interest:

Computer Sciences
Segmentation
Image Processing
Pattern Recognition
Artificial Intelligence

Selected Publications

  1. Al-Faris, A.Q., U.K. Ngah, N.A.M. Isa and I.L. Shuaib, 2014. Computer-aided segmentation system for breast MRI tumour using modified automatic seeded region growing (BMRI-MASRG). J. Digital Imaging, 27: 133-144.
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  2. Al-Faris, A.Q., U.K. Ngah, N.A.M. Isa and I.L. Shuaib, 2014. Breast MRI Tumour Segmentation Using Modified Automatic Seeded Region Growing Based on Particle Swarm Optimization Image Clustering. In: Soft Computing in Industrial Applications, Snasel, V., P. Kromer, M. Koppen (Eds.). Springer International Publishing, New York, pp: 49-60.

  3. Al-Faris, A.Q., U.K. Ngah, N.A.M. Isa and I.L. Shuaib, 2012. MRI breast skin-line segmentation and removal using integration method of level set active contour and morphological thinning algorithms. J. Med. Sci., 12: 286-291.
    CrossRef  |  Direct Link  |  

  4. Al-Faris, A.Q., U.K. Ngah, N.A.M. Isa and I.L. Shuaib, 2012. Breast MRI tumour segmentation using modified automatic seeded region growing based on PSO image clustering. Adv. Intelli. Soft Comput. (In Press). .

  5. Al-Faris, A., U.K. Ngah, N.A. Isa and I. Shuaib, 2012. Breast MRI tumour segmentation using modified automatic seeded region growing based on Particle swarm optimization image clustering. Proceedings of the 17th Online World Conference on Soft Computing in Industrial Applications, December 10-21, 2012, Technical University of Ostrava -.
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  6. Al-Faris, A., U.K. Ngah, N.A. Isa and I. Shuaib, 2011. MRI breast tumour segmentation and classification using a modified seeded region growing method. Proceedings of the EEPC2011, December 2-3, 2011, Pahang, Malaysia -.

  7. Al-Faris, A., D. Mohamad, U.K. Ngah and N.A. Isa, 2011. Handwritten characters extraction from form based on line shape characteristics. J. Computer. Sci., 7: 1778-1783.
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Member since November, 2015