Director of Academic Programs
Faculty of Computer Science & Engineering
Biography
Dr. Ashraf received the B.Sc. and M.Sc. degrees from Alexandria University, Alexandria, Egypt, in 1995 and 2004, respectively, both in computer science, and the Ph.D. degree in computer science from the University of Liverpool, U.K., in 2012. He is currently an Assistant Professor at the Faculty of Computer Science and Engineering, Alamein International University, Egypt (On leave as an Assistant Professor at the Faculty of Science, Alexandria University). His research interests include data science, big data analytics, deep learning, quantum machine learning, and medical image mining.
- Academic Positions
- Administrative Positions
- Teaching Summary
- Journal Publications
- Conference Publications
Programs Coordinator At Alamein International University
- Structured Programming
- Object Oriented Programming
- Web Programming
- Data Structures
- Computing Algorithms
- Artificial Intelligence
- Machine Learning
- Discrete Mathematics
- Operating Systems
- Databases
H. A. A. Nomer, K. A. Alnowibet, A. Elsayed and A. W. Mohamed, “Neural Knapsack: A Neural Network Based Solver for the Knapsack Problem,” in IEEE Access, vol. 8, pp. 224200-224210, 2020, doi: 10.1109/ACCESS.2020.3044005.
Improved navigation and guidance system of auv using sensors fusion
Khater, H.A., Elsayed, A., El-Shoafy, N., Journal of Communications, 2020, 15(6), pp. 455–468
Auto resource management to enhance reliability and energy consumption in heterogeneous cloud computing
Khalil, M.H., Azab, M., Elsayed, A., …Gabr, M., Elmaghraby, A.S., International Journal of Computer Networks and Communications, 2020, 12(2), pp. 85–108
Enhancing the quantum cost of Reed-Muller Based Boolean quantum circuits using genetic algorithms
Shaban, M., Younes, A., Elsayed, A., Journal of Physics: Conference Series, 2020, 1447(1), 012031
Underwater navigation system solution using mems-mobile sensors during the gps outage
Khater, H., Elsayed, A., El-Shoafy, N., Journal of Communications, 2019, 14(5), pp. 375–380
Boosted constrained K-means algorithm for social networks circles analysis
Iswed, I.M., Hassan, Y.F., Elsayed, A.S., International Journal of Advanced Computer Science and Applications, 2019, 10(7), pp. 419–423
Transfer learning using rough sets for medical data classification
Ahmed, M.A., Hassan, Y.F., Elsayed, A., ICIC Express Letters, 2018, 12(7), pp. 645–653
Improving the quantum cost of reversible Boolean functions using reorder algorithm
Ahmed, T., Younes, A., Elsayed, A., Quantum Information Processing, 2018, 17(5), 104
An advanced automatic fuzzy rule-based algorithm for 3D vessel segmentation
Abdou, M.A., El-Sayed, A., Ali, E., International Journal of Computational Intelligence Systems, 2018, 11(1), pp. 79–85
Automatic vessel extraction using particle swarming optimization for 3d medical images
Ali, E., Abdou, M.A.-E.R., El Sayed, A., Current Medical Imaging Reviews, 2017, 13(4), pp. 471–477
Time series case based reasoning for image categorisation, Elsayed, A., Hijazi, M.H.A., Coenen, F., …Sluming, V., Zheng, Y., Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, 6880 LNAI, pp. 423–436
Corpus callosum MR image classification, Elsayed, A., Coenen, F., Jiang, C., García-Fiñana, M., Sluming, V.
Research and Development in Intelligent Systems XXVI: Incorporating Applications and Innovations in Intelligent Systems XVII, 2010, pp. 333–346
Region of interest based image categorization, Elsayed, A., Coenen, F., García-Fiñana, M., Sluming, V.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, 6263 LNCS, pp. 239–250
Corpus callosum MR image classification, Elsayed, A., Coenen, F., Jiang, C., García-Fiñana, M., Sluming, V.
Knowledge-Based Systems, 2010, 23(4), pp. 330–336
Shaban, M., Younes, A., Elsayed, A., Enhancing the quantum cost of Reed-Muller Based Boolean quantum circuits using genetic algorithms, Journal of Physics: Conference Series, 2020, 1447(1), 012031
S. A. Elmorsy, M. A. Abdou, Y. F. Hassan and A. Elsayed, “A region growing liver segmentation method with advanced morphological enhancement,” 2015 32nd National Radio Science Conference (NRSC), 6th of October City, 2015, pp. 418-425.
A. Elsayed, F. Conenen, C. Jiang, M. Garcia-Finana and V. Slumming. Corpus Callosum MR Image Classification. Research and Development in Intelligent Systems XXVI incorporating Applications and Innovations in Intelligent Systems XVII, Proceedings AI’2009, Springer, London, pages (333-348), 2009. Winner of the Best Application Paper Prize.
A. Elsayed, F. Conenen, M. Garcia-Finana and V. Slumming. Region Of Interest Based Image Categorization. Proceedings 12th Int. Conf.on Data Warehousing and Knowledge Discovery (DaWaK’10),Springer LNCS 6263, pages (239- 250), 2010.
A. Elsayed, F. Conenen, M. Garcia-Finana and V. Slumming. Region Of Interest Based Image Classification Using Time Series Analysis. Proceedings Int. Joint Conf. on Neural Network (Special Session on Soft Computing in Medical Imaging), part of IEEE World Congress on Computational Intelligence (WCCI’10), pages (3501-3507), 2010.
A. Elsayed, F. Conenen, M. Garcia-Finana and V. Slumming. MRI Brain Scan Classification According to The Nature of The Corpus Callosum. Proceedings Medical Image Understanding and Analysis (MIUA’10), pages (19-23), 2010.
A. Elsayed, M. Hijazi, F. Conenen, M. Garcia-Finana, V. Slumming and Y. Zheng. Image Categorisation Using Time Series Case Based Reasoning. Proceedings of 15th UK Workshop on Case-Based Reasoning, pages (2-11), BCS-SGAI, Cambridge, 2010.
A. Elsayed, M. Hijazi, F. Conenen, M. Garcia-Finana, V. Slumming and Y. Zheng. Time Series Case Based Reasoning for Image Categorisation. In A. Ramand N. Wiratunga (Eds.): ICCBR 2011, pages (423-436), 2011.