Faculty Members

مواقع أعضاء هيئة التدريس

كل ما تحتاجه من أستاذك… في مكان واحد

Dr.Mona Gamal ElSayed Gafar

B.Sc., M.Sc., and Ph.D. degrees from the Faculty of Computers and Information, Mansoura University, in 2006, 2010, and 2014 Associate Professor College of Sciences In sulail

Slayel
011-588-8593
m.gafar@psau.edu.sa

Curriculum Vitae
Publications

Publications

أبحاث رسالة الماجستير
1. Hybrid Intelligent Model of Genetic Algorithms and Association Rules in Text Mining.
Citation: Mona Gamal, Ahmed Abo El-Fetoh, El-Sayed Radwan, and Aziza Asem, “Hybrid Intelligent Model Of Genetic Algorithms and Association Rules in Text Mining," Egyptian Computer Science Journal (ECS Journal), Vol. 34 No. 2, 2010.
2. Comparative Study on Different Approaches of Text Mining.
Citation: Mona Gamal, Ahmed Abo El-Fetoh, El-Sayed Radwan, and Aziza Asem, “Comparative Study on Different Approaches of Text Mining," Mansoura Journal of Computer and Information Sciences, 2010.
3. A Hybrid Genetic and C4.5 Algorithm for Textual Documents. Classification
Citation: Mona Gamal, Ahmed Abo El-Fetoh, El-Sayed Radwan, Aziza Asem, “A Hybrid Genetic and C4.5 Algorithm for Textual Document Classification," Scientific Journal of Faculty of Science Minoufia University, Vol. XXIII No. 2, 2009.
أبحاث الدكتوراه:
1. A credible fuzzy classification-based technique on self-organized feature maps and FRANTIC-RL.
Citation: Gamal, Mona, Elsayed Radwan, and Adel MA Assiri. "Credible Fuzzy Classification-Based Technique on Self-Organized Feature Maps and FRANT IC-RL." (IJACSA) International Journal of Advanced Computer Science and Applications, 5.10 (2014).‏
2. Medical Diagnostic System Basing Fuzzy Rough Neural-Computing for Breast Cancer
Citation: Gamal, Mona. "Medical Diagnostic System Basing Fuzzy Rough Neural-Computing for Breast Cancer." AISI 2016: Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016, pp. 467-479.
3. A Hybrid of Self-Organized Feature Maps and Parallel Genetic Algorithms for Uncertain Knowledge
Citation: Mona Gamal, Ahmed Abou El-Fetouh, Shereef Barakat, and Elsayed Radwan, "A Hybrid of Self-Organized Feature Maps and Parallel Genetic Algorithms for Uncertain Knowledge," International Journal of Computer Applications, Vol. 60–No. 6, Pp. 0975–8887, 2012.
4. A Fuzzy Rough Rule-Based System Enhanced By Fuzzy Cellular Automata
Citation: Mona Gamal, Ahmed Abou El-Fetouh, and Shereef Barakat, "A Fuzzy Rough Rule-Based System Enhanced by Fuzzy Cellular Automata," (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 4, No. 5, pp. 1-11, 2013.
5. Comparative Study on Uncertain Knowledge-Based Frameworks
Citation: Mona Gamal, Ahmed Abou El-Fetouh, and Shereef Barakat, "Comparative Study on Uncertain Knowledge-Based Frameworks," International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Vol. 2, No. 2, 2013.
أبحاث ما بعد الدكتوراة :
1. Modelling Neutrosophic Variables based on Particle Swarm Optimization and Information Theory Measures: Case Study Temperature in Forest Fires
Citation: Mona Gamal Gafar, Mohamed Elhoseny, and M. Gunasekaran. "Modeling neutrosophic variables based on particle swarm optimization and information theory measures for forest fires." The Journal of Supercomputing (2018): 1-18.‏
2. Telecommunication Fuzzy Rules for Multi-services Access Nodes locations using Artificial Bee Colony
Citation: W Elsanabary, M Gamal, A Abou El-Fetouh… - Journal of Intelligent & Fuzzy Systems
3. Modeling Neutrosophic Data by Self-Organizing Feature Map: MANETs Data Case Study
Citation: H ELwahsh, M Gamal, AA. Salama, IM. El-Henawy: Modeling Neutrosophic Data by Self-Organizing Feature Map: MANETs Data Case Study - Procedia Computer Science, 2017
4. Integrated Framework of Optimization Technique and Information Theory Measures for Modeling Neutrosophic Variables
Citation: Mona Gamal Gafar, Ibrahim El-Henawy: Integrated Framework of Optimization Technique and Information Theory Measures for Modeling Neutrosophic Variables, Neutrosophic Sets and Systems, 2017
5. Fuzzifying Telecommunication Network Features Basing PSO-TE Algorithm
Citation: Nashaat Elkhameesy Walaa Elsanabary, Mona Gamal, Ahmed Abou El-Fetouh: Fuzzifying Telecommunication Network Features Basing PSO-TE Algorithm, International Journal of Software Engineering and Its Application, 2017
6. Medical Diagnostic System Basing Fuzzy Rough Neural-Computing for Breast Cancer
Citation: Mona Gamal Gafar, "Medical Diagnostic System Basing Fuzzy Rough Neural-Computing for Breast Cancer." International Conference on Advanced Intelligent Systems and Informatics, Advances in Intelligent Systems and Computing, Springer, Cham, 2016.‏
7. A Proposed Hybrid Effective Technique for Enhancing Classification Accuracy
Citation: El-Hasnony, I. M., El-Bakry, H. M., Al-Tarawneh, O. H., & Gamal, M. "A Proposed Hybrid Effective Technique for Enhancing Classification Accuracy." International Journal of Advanced Computer Science and Applications 8.12, 190-200, 2017.‏
8. A novel hybrid fuzzy-JAYA optimization algorithm for efficient ORPD solution
Citation: GAFAR, Mona G.; EL-SEHIEMY, Ragab A.; HASANIEN, Hany M. A novel hybrid fuzzy-JAYA optimization algorithm for efficient ORPD solution. IEEE Access, 2019, 7: 182078-182088.‏
9. Grammatical Facial Expression Recognition Basing on a Hybrid of Fuzzy Rough Ant Colony Optimization and Nearest Neighbor Classifier
Citation: M. G. Gafar, "Grammatical Facial Expression Recognition Basing on a Hybrid of Fuzzy Rough Ant Colony Optimization and Nearest Neighbor Classifier," 2019 International Conference on Innovative Trends in Computer Engineering (ITCE), Aswan, Egypt, 2019, pp. 136-141, doi: 10.1109/ITCE.2019.8646649.
10. Classifying Cardiotocography Data based on Rough Neural Network
Citation: Amin, Belal, Mona Gamal, A. A. Salama, Khaled Mahfouz, and I. M. El-Henawy. "Classifying Cardiotocography Data based on Rough Neural Network." Machine Learning 10, no. 8 (2019).
11. Cross-projects software defect prediction using spotted hyena optimizer algorithm
Citation: Elsabagh, M. A., M. S. Farhan, and M. G. Gafar. "Cross-project software defect prediction using spotted hyena optimizer algorithm. "SN Applied Sciences 2, no. 4 (2020): 1-15.
12. Intelligent Neutrosophic Diagnostic System for Cardiotocography Data
Citation: Amin, B., Salama, A. A., El-Henawy, I. M., Mahfouz, K., & Gafar, M. G. (2021). Intelligent Neutrosophic Diagnostic System for Cardiotocography Data. Computational intelligence and neuroscience, 2021.
13. Code Smell Detection Using Whale Optimization Algorithm
Citation: Draz, M. M., Farhan, M. S., Abdulkader, S. N., & Gafar, M. G. (2021). Code Smell Detection Using Whale Optimization Algorithm. CMC-COMPUTERS MATERIALS & CONTINUA, 68(2), 1919-1935.
14. A Hybrid Fuzzy-Crow Optimizer for Unconstrained and Constrained Engineering Design Problems
Citation: Gafar, Mona Gamal, Ragab A. El-Sehiemy, and Shahenda Sarhan. "A Hybrid Fuzzy-Crow Optimizer for Unconstrained and Constrained Engineering Design Problems." HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES 12 (2022): 1-24.‏
15. Turbulent flow of water-based optimization for solving multi-objective technical and economic aspects of optimal power flow problems
Citation: Sarhan, S., El-Sehiemy, R., Abaza, A., & Gafar, M. (2022). Turbulent flow of water-based optimization for solving multi-objective technical and economic aspects of optimal power flow problems. Mathematics, 10(12), 2106.‏
16. An enhanced slime mould optimizer that uses chaotic behavior and an elitist group for solving engineering problems
Citation: Sarhan, S., Shaheen, A. M., El-Sehiemy, R. A., & Gafar, M. (2022). An enhanced slime mold optimizer that uses chaotic behavior and an elitist group for solving engineering problems. Mathematics, 10(12), 1991.‏
17. A multi-objective teaching–learning studying-based algorithm for large-scale dispatching of combined electrical power and heat energies
Citation: Sarhan, S., Shaheen, A., El-Sehiemy, R., & Gafar, M. (2022). A multi-objective teaching–learning study-based algorithm for large-scale dispatching of combined electrical power and heat energies. Mathematics, 10(13), 2278.‏
18. Optimal parameter estimation of three solar cell models using modified spotted hyena optimization
Citation: Gafar, M., El-Sehiemy, R. A., Hasanien, H. M., & Abaza, A. (2022). Optimal parameter estimation of three solar cell models using modified spotted hyena optimization. Journal of Ambient Intelligence and Humanized Computing, 1-12.‏
19. Improved SNS algorithm with high exploitative strategy for dynamic combined heat and power dispatch in co-generation systems
Citation: Gafar, M., Ginidi, A., El-Sehiemy, R., & Sarhan, S. (2022). Improved SNS algorithm with a high exploitative strategy for dynamic combined heat and power dispatch in co-generation systems. Energy Reports, 8, 8857-8873.‏
20. Enhanced teaching-learning-based algorithm for fuel costs and losses minimization in ac-dc systems
Citation: Sarhan, S., Shaheen, A. M., El-Sehiemy, R. A., & Gafar, M. (2022). Enhanced teaching-learning-based algorithm for fuel costs and losses minimization in AC-DC systems. Mathematics, 10(13), 2337.‏
21. An augmented social network search algorithm for optimal reactive power dispatch problem‏
Citation: Sarhan, S., Shaheen, A., El-Sehiemy, R., & Gafar, M. (2023). An augmented social network search algorithm for the optimal reactive power dispatch problem. Mathematics, 11(5), 1236.‏
22. Optimal multidimensional operation in power systems by an improved artificial hummingbird optimizer
Citation: Sarhana, S., Shaheen, A., El-Sehiemy, R., & Gafar, M. (2023). Optimal multidimensional operation in power systems by an improved artificial hummingbird optimizer. Hum.-Centric Comput. Inf. Sci., 13, 13.‏
23. TLBO merged with studying effect for Economic Environmental Energy Management in high-voltage AC Networks Hybridized with Multi-Terminal DC lines.
Citation: Sarhan, S., El-Sehiemy, R. A., Shaheen, A. M., & Gafar, M. (2023). TLBO merged with studying effects for economic, environmental, and energy management in high-voltage AC networks hybridized with multi-terminal DC lines. Applied Soft Computing, 143, 110426.‏
24. Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data
Citation: El-Mageed, A. A. A., Elkhouli, A. E., Abohany, A. A., & Gafar, M. (2024). Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data. Journal of Big Data, 11(1), 1-75.
25. Integrating Reconfigurable Intelligent Surface and Modified Aquila Optimization for Enhancing Wireless Communication Capacity
Citation: Tarek, Z., Gafar, M., Sarhan, S., Shaheen, A. M., & Alwakeel, A. S. (2024). Integrating Reconfigurable Intelligent Surface and Modified Aquila Optimization for Enhancing Wireless Communication Capacity. IEEE Internet of Things Journal.
26. Accurate harmonics mitigation for water desalination plant supplied by multi-energy sources based on deep learning algorithms
Citation: El-Arwash, H. M., Gafar, M., & El-Sehiemy, R. A. (2025). Accurate harmonics mitigation for water desalination plants supplied by multi-energy sources based on deep learning algorithms. Alexandria Engineering Journal.
27. Chemical-Inspired Material Generation Algorithm (MGA) of Single- and Double-Diode Model Parameter Determination for Multi-Crystalline Silicon Solar Cells
Citation: Alsaggaf, W., Gafar, M., Sarhan, S., Shaheen, A. M., & Ginidi, A. R. (2024). Chemical-Inspired Material Generation Algorithm (MGA) of Single- and Double-Diode Model Parameter Determination for Multi-Crystalline Silicon Solar Cells. Applied Sciences, 14(18), 8549.
28. Optimization of Gene Selection for Cancer Classification in High-Dimensional Data Using an Improved African Vultures Algorithm
Citation: Gafar, M. G., Abohany, A. A., Elkhouli, A. E., & El-Mageed, A. A. A. (2024). Optimization of gene selection for cancer classification in high-dimensional data using an improved African vultures algorithm. Algorithms, 17(8), 342.

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Dr.Mona Gamal ElSayed Gafar

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Faculty Members

Dr.Mona Gamal ElSayed Gafar

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