Ali Mohamed Nabil Allam

Lecturer & Researcher, AASTMT

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Recognition Award
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Reviewer Profile
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Plagiarism Case
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Research Networks

Citations: 72

h-index: 4

i10-index: 1

Research Work

  • A. Allam, A. Youssif, and A. Ghalwash, "Automatic Segmentation of Optic Disc in Eye Fundus Images: A Survey", Electronic Letters on Computer Vision and Image Analysis (ELCVIA), vol. 14, no. 1, pp. 1-20, Barcelona, Spain, September 2015.

  • A. Allam, A. Youssif, and A. Ghalwash, "Optic Disc Segmentation by Weighting the Vessels Density within the Strongest Candidates", in Proceedings of the IEEE SAI Computing Conference 2016, pp. 91-99, London, United Kingdom, July 2016.

Research Affiliations

Elsevier Reviewer
ACM Professional Member

Research Interests

Based on my authoring and reviewing experience, I find it challenging to work in research areas that I am interested in such as:

  • Medical Image Analysis / Computer Vision
  • Web Information Retrieval / Big Data
  • Natural Language Processing
  • Information Security / Cryptography
  • A. Allam and M. Haggag, "The Question Answering Systems: A Survey", International Journal of Research and Reviews in Information Sciences (IJRRIS), vol. 2, no. 3, pp. 211-221, United Kindom, September 2012, ISSN: 2046-6439.

  • M. Sakre, M. Kouta, and A. Allam, "Weighting Query Terms using WordNet Ontology", International Journal of Computer Science and Network Security (IJCSNS), vol. 9 no. 4, pp. 349-358, Seoul, South Korea, April 2009, Accessible at:

  • M. Sakre, M. Kouta, and A. Allam, "Automated Construction of Arabic-English Parallel Corpus", Journal of the Advances in Computer Science (ACS), vol. 3, Cairo, Egypt, 2009, p-ISSN: 1687-8515.

IEEE Professional Member
  • A. Allam, "Enhancing Web Information Rertrieval Using Improved Ranking and a Parallel Corpus Technique", MSc. Thesis, Cairo, Egypt, April 2009.


Scopus Author ID: 56940202400

AAST Faculty Member
  • A. Allam, "Automatic Detection of Landmarks and Abnormalities in Eye Fundus Images", PhD Dissertation, Cairo, Egypt, September 2017.

  • A. Allam, A. Youssif, and A. Ghalwash, â€śSegmentation of Exudates via Color-based K-means Clustering and Statistical-based Thresholding”, Journal of Computer Science, Science Publications, vol. 13, no. 10, pp. 524-536, October 2017.