Full Professor
Faculty of Computer Science & Engineering
Biography
Mohamed AbdelRahman Abdou, professor of communications and computer systems engineering. Adjunct Professor, Faculty of Computer Science and Engineering, Alamein International University (www.aiu.edu.eg). Former Vice Dean of Informatics Research Institute, SRTA-City (www.srtacity.sci.eg). Former Associate Dean for graduate studies and researches at the Faculty of Engineering, Pharos University in Alexandria (www.pua.edu.eg). Meanwhile, he is a visiting professor at Alexandria University. He spent more than 27 years in academia, in research and teaching at undergraduate and postgraduate levels. He is conducting his research in Machine Learning (ML) and Deep Learning (DL) applications in computer vision, healthcare, machine translation, and other industrial and engineering applications.
Prof. Mohamed possesses a large experience with youth development and mentorship through several national and international projects and as a consultant for Entrepreneurship Education and knowledge technology transfer. Through his academic journey, he showed a clear mission statement: “Leader of academic activities enhancing quality of undergraduate/postgraduate education through excellence in teaching methodologies and peer reviewed research publications”. Prof. Mohamed has more than 50 publications in peer reviewed journals and reputable indexed conferences.
- Academic Positions
- Administrative Positions
- Teaching Summary
- Journal Publications
- Conference Publications
- Funded Research Grants
2012- 2018
2006-2012
2000- 2006
1997- 2000
2021-2024
Vice Dean – Informatics Research Institute (IRI), SRTA-City
2021-2024
Dean’s Consultant for Graduate Studies & Research- Faculty of Engineering- Pharos University (PUA)
2019- 2020
Dean – Informatics Research Institute, SRTA-City – Alexandria, Egypt
2012-2018
Head of Electrical Engineering Department – Pharos University (PUA)
2009-2012
Head of Knowledge Based Sys. Dept. – Informatics Research Institute, SRTA-City
• Logic Design
• Digital Image Processing
• Medical Imaging
• Computer Vision
• Artificial Intelligence
• Computational Intelligence
• Machine Learning
• Deep Learning
• Natural Language Processing
• Graduation Projects
• Electric Circuits
• Logic Design
• Embedded Systems
• Signals and Systems
• Digital Signal Processing
• Calculus
• Linear Algebra
• Ordinary & Partial DEs
• Special Functions
• Vector Analysis
• Probability & Random Variables
• Fourier / Laplace / Z Transformations
1. Shaheera Rashwan, Eman ElShenawy, Bayumy Youssef, Mohamed A. Abdou, Roll Force Prediction using Hybrid Genetic Algorithm with Semi-Supervised Support Vector Regression,” Journal of Electrical Systems & Information Technology (Springer), Vol. 11 (44), , October 2024 https://doi.org/10.1186/s43067-024-00160-2.
2. Mohamed A. Abdou, et al. “Machine Learning-based Electronic Nose for Universal Mapping of Blood Odors and Diagnosis of Cancer,” Chemical Engineering Transactions, 112, 121-126, 2024. https://doi.org/10.3303/CET24112021
3. Fatma M. Eltahan, Monica Toderas, Moustapha S. Mansour, El Sayed Z. El Ashtoukhy, Mohamed A. Abdou & F. Shokry, “Applying a semi-quantitative risk assessment on petroleum production unit,” Scientific Reports 14, 7603, Springer Nature, 2024.
https://doi.org/10.1038/s41598-024-57600-2
4. Y. ElSayed, A. ElSayed, M. A. Abdou, “An automatic improved facial expression recognition for masked faces,” Neural Computing & Applications, Springer Nature, Vol. 35, 2023. https://doi.org/10.1007/s00521-023-08498-w
5. S.A. Mohamed, A.A. Elsayed,, M.A. Abdou, “Residual Information Flow for Neural Machine Translation,” IEEE Access, Volume (10), pp.118313-118320, 2022. https://doi.org/10.1109/ACCESS.2022.3220691
6. T.Selim, I. ElKabani, M.A. Abdou, “Students engagement level detection in online e-learning using hybrid EfficientNetB7 together with TCN, LSTM, and Bi-LSTM,” IEEE Access, Volume (10), pp.99573-99583, 2022. https://doi.org/10.1109/ACCESS.2022.3206779
7. M.A. Abdou, “Literature Review: Efficient Deep Neural Networks Techniques for Medical Image Analysis,” Neural Computing & Applications, Springer Nature, Vol. 34, pp.5791-5812, 2022. https://doi.org/10.1007/S00521-022-06960-9
8. S.A. Mohamed, A.A. Elsayed, Y.F. Hassan, M.A. Abdou, “Neural machine translation: past, present, and future,” Neural Computing & Applications, Springer Nature, Vol. 33(23), pp. 15919–15931, 2021. https://doi.org/10.1007/s00521-021-06268-0
9. A.H.Malek, M.Abo ElHassan, M.A. Abdou, “Evolutionary Computation Technique Enhancing the Performance of Cognitive Radio Networks with Energy Harvesting,” Ad Hoc Networks 107 (2020) 102254. https://doi.org/10.1016/j.adhoc.2020.102254
10. S. ElMorsy, M. Abdou, Y. Hassan, A. Said, “Liver Tumor Localization Using an Integrated Hybrid Fuzzy Seed Point Region Growing Algorithm,” Applied Mathematics & Information Sciences, AMIS, Vol. 13 (S1), pp. 371-380. https://dx.doi.org/10.18576/amis/13S140
11. S. ElMorsy, Y. Hassan, M. Abdou, A. Said, “Quantum Inspired Rough Fuzzy C-Means Clustering for Liver Tumor Segmentation,” Innovation, computing, Information, and Control, ICIC-Express Letters, Vol. 13 (8), August 2019. http://doi.org/10.24507/icicel.13.08.689
12. A.H.Malek, M.AboElHasan, M.A. Abdou, “Power Allocation Scheme and Performance Analysis for Multiuser Underlay Full-Duplex Cognitive Radio Networks with Energy Harvesting,” IEEE Access, Vol. 6, 2018. https://dx.doi.org/10.1109/ACCESS.2018.2875417
13. M.A. Abdou, “An Enhanced Training- Based Arabic Sign Language Virtual Interpreter Using Parallel Recurrent Neural Networks,” Journal of Computer Science, 14 (2), pp. 228-237, 2018. http://doi.org/10.3844/jcssp.2018.228.237
14. H.S. Ibrahim, M.A. Abdou, R.AbdelRahman, “A Fast Interest Points Feature Descriptors Algorithm for Mobile Image Retrieval Applications,” International Journal of Computer Applications, Vol. 180 (9), 2018. ISSN: 0975 – 8887.
15. M.A. Abdou, Ashraf Sayed, Eman Ali, “An advanced Automatic Fuzzy Rule Based Algorithm for 3D Vessel Extraction,” International Journal of Computational Intelligence Systems, Volume 11, pp.79-85, 2018. https://dx.doi.org/10.2991/ijcis.11.1.7
16. S. Girguis, M. A. Abdou, A. Elnaggar, “A Hybrid Fuzzy Multi-Hop Unequal Clustering Algorithm for Dense Wireless Sensor Networks,” International Journal of Computational Intelligence Systems, Volume 10, 2017.https://dx.doi.org/10.2991/ijcis.2017.10.1.63
1. Fatma M.Eltahan, Monica Toderas, Moustapha S. Mansour, El Sayed Z. El-Ashtoukhy, Mohamed A. Abdou, Fathy Shokry, “Estimation of the safety integrity level (SIL) rating on petroleum production unit using traditional LOPA model,” second scientific conference on Industry and Environment, Alexandria University, January 2024.
2. A.H.Malek, M.Abo ElHassan, M.A. Abdou, “Power Allocation for Full Duplex MISO Underlay Cognitive Radio Networks with Energy Harvesting,” IEEE International Conference on Communications (ICC), 2018. https://doi.org/10.1109/ICC.2018.8422856
3. Maha Fathy, B. Mokhtar, M.A.Abdou, M. R. M. Rizk, “Extended Study towards Performance Improvement of Cloud-RAN,” IWCMC 2017, The 13th International Wireless Communications and Mobile Computing Conference. https://doi.org/10.1109/IWCMC.2017.7986432
4. M. Saleh, M. A. Abdou, M.AboElHassan, “Assessing the Use of IP Network Management Protocols in Smart Grids,” ACS/IEEE- AICCSA2016. https://doi.org/10.1109/AICCSA.2016.7945723
5. S. A.Elmorsy, M. A. Abdou, Y. F. Hassan, A. Elsayed, “A Region Growing Liver Segmentation Method with Advanced Morphological Enhancement,” 32nd National Radio Science Conference (NRSC 2015), March 24-26, 2015. https://doi.org/10.1109/NRSC.2015.7117857
6. O.Hosam, B.A.Bayumy, M.A.Abdou, “Public Watermarking Scheme for 3D Laser Scanned Archeological Models,” The 17th IEEE Symposium on Computers and Communication (ISCC’12), 2012.
7. M.A.Abdou, “An Introduced Blocked-Wavelet Algorithm for Signal and Time Improvements of Images with Multiple Regions,” 10th IASTED International Conference on Computer Graphics and Imaging, pp.34- 39, Innsbruck, Austria, 2008.
8. M.A.Abdou, M.B.Tayel, “A Neuro- Difference Fuzzy Technique for Automatic Segmentation in Medical Imaging,” 23rd National Radio Science Conference (NRSC 2006), Egypt.
9. M.A.Abdou, M.B.Tayel, “A Hybrid Lossless Compression Technique with Segmentation and Modified Arithmetic Coding,” 5th WSEAS International Conference on Signal Processing, 2006.
10. M.A.Abdou, M.B.Tayel, “Fast and Reduced-Bit Zerotree Coding Algorithm for Progressive Transmission of Medical Images,” IASTED International Conference 2005, Novosibirsk, Russia.
11. M.A.Abdou, M.B.Tayel, “Fuzzy Genetic Control and Optimization of Decentralized Robot Manipulators,” 10th ICCTA International Conference, Egypt, 2000.
• Co-PI: “Video Surveillance Storytelling using Machine Learning Tools,” funded by Information Technology Industry Development Agency (itida), 2023-2024.
• Co-PI and ML Consultant: “Smart Gasification of Municipal Solid Wastes,” 2000K EGP, funded from ASRT, 2021-2024.
• PI: “Lotus Scholarship Program,” funded project by USAID and run by the Institute of International Education (IIE), 2012-2019.
• Team Member: MATS (Multipurpose Applications by Thermodynamics Solar), European Union 7th Framework Program, 2006-2008, http://www.mats.enea.it/progetto.asp