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كل ما تحتاجه من أستاذك… في مكان واحد

د.مصطفى السيد عبدالسلام ابوالنور

Ph.D. in AI, Faculty of Computers & AI, Cairo University, Egypt. 2015. M.Sc. in AI, Faculty of Computers & Information, Menufia University, Egypt, 2009. B.Sc. of Computer Science, Faculty of Computers & Information, Zagazig University, Egypt, 2003. أستاذ مشارك كلية الهندسة بوادي الدواسر

وادي الدواسر
011-588-8888
m.aboelnour@psau.edu.sa

السيرة الذاتية
الأبحاث العلمية

المؤهلات العلمية

Ph.D. in AI, Faculty of Computers & AI, Cairo University, Egypt. 2015.
M.Sc. in AI, Faculty of Computers & Information, Menufia University, Egypt, 2009.
B.Sc. of Computer Science, Faculty of Computers & Information, Zagazig University, Egypt, 2003.

الاهتمامات البحثية

Machine Learning
Deep Learning
NLP
Swarm Optimization

الأبحاث العلمية

1. Salam, M. A., Gamal, M., Hamed, H. F. A., & Sweidan, S. (2025). Abstractive text summarization using deep learning models: a survey. International Journal of Data Science and Analytics, 1-29.
2. Salam, M. A., Gamal, M., Hamed, H. F. A., & Sweidan, S. (2025). GRAYSUM: Gray Wolf Optimized Multi-Level Semantic Graph Summarization. Results in Engineering, 107275.
3. Salam, M. A., Abdellatif, A., Abdallah, M., & Salam, N. A. (2025). A Hybrid Deep Learning and Machine Learning Model for Multi-Class Lung Disease Detection in Medical Imaging. International Journal of Intelligent Engineering and Systems, 18(1).
4. Salam, M. A., Aldawsari, M., & Nageh, N. (2025). Bi-objective jellyfish algorithm for team formation problem. Scientific Reports, 15(1), 32417.
5. Salam, M. A., Badr, E., & Elbohoty, A. (2025). Mayfly-based federated learning approach for early detection of fire. International Journal of Data Science and Analytics, 20(8), 7167-7187.
6. Mohamed, M. G., Abdul Salam, M., Sweidan, S., & Hamed, H. F. A. (2025). ACOSUM: Ant Colony Optimized Multi-level Semantic Graph Summarization. International Journal of Applied Intelligent Computing and Informatics, 1(1).
7. Salam, M. A., Aldawsari, M., Gamal, M., Hamed, H. F. A., & Sweidan, S. (2024). Msg-ats: Multi-level semantic graph for arabic text summarization. IEEE Access.
8. Almotairi, S., Badr, E., Abdelbaky, I., Elhakeem, M., & Abdul Salam, M. (2024). Hybrid transformer-CNN model for accurate prediction of peptide hemolytic potential. Scientific Reports, 14(1), 14263.
9. Elminaam, D. S. A., El Tanany, A., Salam, M. A., & El Fattah, M. A. (2024). StockBiLSTM: Utilizing an Efficient Deep Learning Approach for Forecasting Stock Market Time Series Data. International Journal of Advanced Computer Science & Applications, 15(4).
10. Salam, M. A., El-Bably, D. L., Fouad, K. M., & Elsayed, M. S. (2024). Enhancing Fraud Detection in Credit Card Transactions using Optimized Federated Learning Model. International Journal of Advanced Computer Science & Applications, 15(5).
11. Abdul Salam, M., Fouad, K. M., Elbably, D. L., & Elsayed, S. M. (2024). Federated learning model for credit card fraud detection with data balancing techniques. Neural Computing and Applications, 36(11), 6231–6256.
12. Abdelbaky, I., Elhakeem, M., Tayara, H., Badr, E., & Abdul Salam, M. (2024). Enhanced prediction of hemolytic activity in antimicrobial peptides using deep learning-based sequence analysis. BMC bioinformatics, 25(1), 368.
13. Almotairi, S., Badr, E., Salam, M. A., & Dawood, A. (2023). Three chaotic strategies for enhancing the self-adaptive harris hawk optimization algorithm for global optimization. Mathematics, 11(19), 4181.
14. Almotairi, S., Badr, E., Abdul Salam, M., & Ahmed, H. (2023). Breast Cancer Diagnosis Using a Novel Parallel Support Vector Machine with Harris Hawks Optimization. Mathematics, 11(14), 3251.
15. Salam, M. A., Ahmed, N. N., Elshamy, A., Hassan, A. W. S., & Sami, M. (2023). Enhanced Jellyfish Search Optimizer for Collaborative Team Formation in Social Network. International Journal of Intelligent Engineering & Systems, 16(2).
16. Salam, M. A., Taha, S., Alahmady, S., & Mohamed, A. (2023). Predicting Brain Tumor Using Transfer Learning. International Journal of Computer Science & Network Security, 23(5), 73-88.
17. Salam, M. A., Taha, S., & Ramadan, M. (2022). Time series crime prediction using a federated machine learning model. International Journal of Computer Science & Network Security, 22(4), 119-130.
18. Abdul Salam, M., El-Fatah, M. A., & Hassan, N. F. (2022). Automatic grading for Arabic short answer questions using optimized deep learning model. Plos one, 17(8), e0272269.
19. Salam, M. A., Taha, S., & Hamed, M. G. (2022). Advanced framework for automated testing of mobile applications. 2022 4th Novel Intelligent and Leading Emerging Sciences Conference (NILES).
20. Badr, E., Almotairi, S., Salam, M. A., & Ahmed, H. (2022). New sequential and parallel support vector machine with grey wolf optimizer for breast cancer diagnosis. Alexandria Engineering Journal, 61(3), 2520-2534.
21. Salam, M. A., Azar, A. T., & Hussien, R. (2022). Swarm-Based Extreme Learning Machine Models for Global Optimization. Computers, Materials & Continua, 70(3).
22. Salam, M. A., Badr, E., Monier, E., & Mohamed, A. (2022). Schizophrenia diagnosis using optimized federated learning models. IJCSNS, 829.
23. Shehata, A. M., Mohamed, E. M., Salem, K. L., Mohamed, A. M., Salam, M. A., ... (2021). A survey of drowning detection techniques. 2021 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC).
24. Salam, M. A., & Torad, M. A. (2021). An Intelligent Approach for COVID-19 Detection Using Deep Transfer Learning Model. International Journal of Electronics and Information Engineering, 13(2), 66-76.
25. Awad, H. A. M. A. S. A., & Salem, R. (2021). A Novel Intelligent Approach for Dynamic Data Replication in Cloud Environment. IEEE Access, 9(10.1109/ACCESS.2021.3064917), 40240-40254.
26. Badr, E., Abdul Salam, M., Almotairi, S., & Ahmed, H. (2021). From linear programming approach to metaheuristic approach: scaling techniques. Complexity, 2021(1), 9384318.
27. Salam, M. A., & Ali, M. (2021). Optimizing Extreme Learning Machine using GWO Algorithm for Sentiment Analysis. International Journal of Computer Applications, 975, 8887.
28. Salam, M. A., & Azar, A. T. (2021). Optimizing Extreme Learning Machine using Whale Optimization Algorithm for Genes Classification. International Journal of Emerging Trends & Technology in Computer Science.
29. Awad, A., Salem, R., Abdelkader, H., & Salam, M. A. (2021). A Swarm Intelligence-based Approach for Dynamic Data Replication in a Cloud Environment. International Journal of Intelligent Engineering and Systems, 14(2).
30. Torad, M. A., & Salam, M. A. (2021). Smart helmet using internet of things. Int J Reconfigurable & Embedded Syst ISSN 2089 (4864), 4864.
31. Abdul Salam, M., Taha, S., & Ramadan, M. (2021). COVID-19 detection using federated machine learning. PloS one, 16(6), e0252573.
32. Salam, M. A., Ibrahim, L., & Abdelminaam, D. S. (2021). Earthquake Prediction using Hybrid Machine Learning Techniques. International Journal of Advanced Computer Science and Applications (IJACSA).
33. Salam, M. A., Azar, A. T., Elgendy, M. S., & Fouad, K. M. (2021). The Effect of Different Dimensionality Reduction Techniques on Machine Learning Overfitting Problem.
34. Abdel-Kader, H., Abd-El Salam, M., & Mohamed, M. (2020). Hybrid machine learning model for rainfall forecasting. Journal of Intelligent Systems and Internet of Things, 1(1), 5-12.
35. Mustafa, H. S., Abdul Salam, M., Alaa, H., Samir, M., & Tarek, M. (2020). An Intelligent Approach for Detecting Palm Trees Diseases using Image Processing and Machine Learning. International Journal of Advanced Computer Science and Applications, 11(7).
36. Badr, E., Salam, M. A., & Ahmed, H. (2020). The impact of scaling on Support Vector Machine in Breast Cancer Diagnosis. International Journal of Computer Applications, 975, 8887.
37. Eldin, H. A., Waleed, K., Samir, M., Tarek, M., Sobeah, H., & Salam, M. A. (2020). A survey on detection of Red Palm Weevil inside palm trees: Challenges and applications. Proceedings of the 9th International Conference on Software and Information Engineering (ICSIE).
38. Badr, E., Salam, M. A., Ali, M., & Ahmed, H. (2019). Social Media Sentiment Analysis using Machine Learning and Optimization Techniques. International Journal of Computer Applications, 975, 8887.
39. Almestekawy, A., & Abdulsalam, M. (2019). Sentiment analysis of product reviews using bag of words and bag of concepts. International Journal of Electronics and Information Engineering, 11(2), 49-60.
40. Badr, E., & Abdulsalam, M. (2019). Optimizing Support Vector Machine using Gray Wolf Optimizer Algorithm for Breast Cancer Detection.
41. Badr, E., Salam, M. A., & Smarandache, F. (2019). Solving Neutrosophic Linear Programming Problems with Two-Phase Approach.
42. Rashed Salem, A. A., Abdul Salam, M., & Abdel Kader, H. (2019). An Artificial Bee Colony Algorithm for Data Replication Optimization in Cloud Environments. IEEE Access.
43. Salam, M. A., Zawbaa, H. M., Emary, E., Ghany, K. K. A., & Parv, B. (2016). A hybrid dragonfly algorithm with extreme learning machine for prediction. 2016 International symposium on innovations in intelligent systems and applications (INISTA).
44. Emary, E., Zawbaa, H. M., & Salam, M. A. (2017). A proposed whale search algorithm with adaptive random walk. 2017 13th IEEE international conference on intelligent computer communication and processing (ICCP).
45. Hegazy, O., Soliman, O. S., & Salam, M. A. (2015). Comparative study between FPA, BA, MCS, ABC, and PSO algorithms in training and optimizing of LS-SVM for stock market prediction. International Journal of Advanced Computer Research, 5(18), 35-45.
46. Hegazy, O., Soliman, O. S., & Salam, M. A. (2015). FPA-ELM Model for Stock Market Prediction. International Journal of Advanced Research in Computer Science and Software Engineering.
47. Hegazy, O., Soliman, O. S., & Salam, M. A. (2014). A machine learning model for stock market prediction. arXiv preprint arXiv:1402.7351.
48. Hegazy, O., Soliman, O. S., & Salam, M. A. (2014). LSSVM-ABC algorithm for stock price prediction. arXiv preprint arXiv:1402.6366.
49. Abdelsalam, M., Ahmed, H., & Abdulwahed, W. F. (2014). Evaluation of differential evolution and particle swarm optimization algorithms at training of neural network for prediction. IJCI. International Journal of Computers and Information, 3(1), 2-14.
50. Soliman, O. S., & Salam, M. A. (2014). A Hybrid BA-LS-SVM Model and Financial Technical Indicators for Weekly Stock Price and Trend Prediction. International Journal, 4(4).
51. Salam, M. A. (2013). Power quality disturbances in a test distribution system: An overview. Journal of Applied Sciences Research, 9(1), 560-566.
52. Abdul-Kader, H., & Salam, M. A. (2012). Evaluation of Differential Evolution and Particle Swarm Optimization Algorithms at Training of Neural Network for Stock Prediction. Int. Arab. J. e Technol. 2(3), 145-151.
53. Abdul Salam, M, Abdul-Kader, H. M., & Abdel-Wahed, W. F. (2010). Comparative study between differential evolution and particle swarm optimization algorithms in training of feed-forward neural network for stock price prediction. *2010 the 7th international conference on informatics and systems (INFOS), 1-8.

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البريد الإلكترونى pr@psau.edu.sa
لطلب خدمة وفتح بلاغ للأعطال ithelp.psau.edu.sa

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