| International Peer-Reviewed Journal Publications |
| 1. S.M. Elghamrawy, Security in cognitive radio network: Defense against primary user emulation attacks using Genetic Artifcial Bee Colony (GABC) algorithm, Future Generation Computer Systems (August 2020), https://doi.org/10.1016/j.future.2018.08.022 ISSN: 0167-739X. (Q1-Impact Factor =7.18). https://www.sciencedirect.com/science/article/abs/pii/S0167739X17321246 2. Elghamrawy, S.M. and Hassanien, A.E., 2022. A hybrid Genetic–Grey Wolf Optimization algorithm for optimizing Takagi–Sugeno–Kang fuzzy systems. Neural Computing and Applications, pp.1-19. (Q1 –Impact Factor =5.6). https://link.springer.com/article/10.1007/s00521-022-07356-5 3. Eslam M. Hassib ; Ali I. El-Desouky ; El-Sayed M. El-kenawy ; Sally Elghamrawy, An Imbalanced Big Data Mining Framework for Improving Optimization Algorithms Performance, 26 November 2019, IEEE Access, https://doi.org/10.1109/ACCESS.2019.2955983 (Q1– 2018 Impact factor: 4. 098) https://ieeexplore.ieee.org/document/8913526 4. N. G. Elseddeq, S. M. Elghamrawy, M. M. Salem and A. I. Eldesouky, “A Selected Deep Learning Cancer Prediction Framework,” in IEEE Access, vol. 9, pp. 151476-151492, 2021, doi: 10.1109/ACCESS.2021.3124889. (Q1– Impact factor: 3.67) https://ieeexplore.ieee.org/abstract/document/9598853 5. M.K. Hassan, El Desouky, A. I., Elghamrawy, S. M., & Sarhan, A. M., A Hybrid Real-time remote monitoring framework with NB-WOA algorithm for patients with chronic diseases, Future Generation Computer Systems (2019), https://doi.org/10.1016/j.future.2018.10.021 (Q1-Impact Factor =7.18). https://www.sciencedirect.com/science/article/abs/pii/S0167739X17326596 6. Hassan, M. K., El Desouky, A. I., Elghamrawy, S. M., & Sarhan, A. M. (2018). Intelligent hybrid remote patient-monitoring model with cloud-based framework for knowledge discovery. Computers & Electrical Engineering (Q1-Impact Factor =3.8). https://www.sciencedirect.com/science/article/abs/pii/S0045790617327222 7. Elghamrawy, S.M. & Hassanien, A.E. “GWOA: A Hybrid Genetic Whale Optimization Algorithm for Combating Attacks in Cognitive Radio Network”. Journal of Ambient Intelligence and Humanized Computing (2018) (Q1– Impact Factor =7.104). https://link.springer.com/article/10.1007/s12652-018-1112-9 8. Abdel-Hamid, N.B., ElGhamrawy, S., Desouky, A.E. et al. A Dynamic Spark-based Classification Framework for Imbalanced Big Data. J Grid Computing (September 2018). https://doi.org/10.1007/s10723-018-9465-z. ISSN: 1570-7873(Q1 Impact Factor =3.9). https://link.springer.com/article/10.1007/s10723-018-9465-z 9. S. M. Elghamrawy, A. E. Hassnien and V. Snasel, “Optimized deep learning-inspired model for the diagnosis and prediction of covid-19,” Computers, Materials & Continua, vol. 67, no.2, pp. 2353–2371, 5 February 2021. (Q2– Impact Factor =4.89). https://www.techscience.com/cmc/v67n2/41341 10. Elmeiligy, M.A., El Desouky, A.I. and Elghamrawy, S.M., 2021. An efficient parallel indexing structure for multi-dimensional big data using spark. The Journal of Supercomputing, pp.1-28. 2021 Mar. (Q1 –Impact Factor =2.474). https://link.springer.com/article/10.1007/s11227-021-03718-3 11. Khashan, E., Eldesouky, A. and Elghamrawy, S., 2021. An adaptive spark-based framework for querying large-scale NoSQL and relational databases. PLOS one, 16(8), p.e0255562. (Q1– Impact Factor =2.74). https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0255562 12. Elghamrawy, S.M., Hassanien, A.E. and Vasilakos, A.V., 2021. Genetic‐based adaptive momentum estimation for predicting mortality risk factors for COVID‐19 patients using deep learning. International Journal of Imaging Systems and Technology. (Q2 –Impact Factor = 1.925). https://onlinelibrary.wiley.com/doi/10.1002/ima.22644 13. Engy, E. L., E. L. Ali, and El-GHAMRAWY Sally. “An Optimized Artificial Neural Network Approach Based on Sperm Whale Optimization Algorithm for Predicting Fertility Quality.” Studies in Informatics and Control 27, no. 3 (2018): 349-358. (Q2-Impact Factor =1.64). https://sic.ici.ro/wp-content/uploads/2018/10/Art.-10-Issue-3-2018-SIC.pdf 14. Sally M. Elghamrawy & Ali I. Eldesouky, “An Agent Decision Support Module Based on Granular Rough Model”. International Journal of Information Technology & Decision Making, IJITDM. Volume 11, Issue 4, July 2012 (Q2-Impact Factor =3.139). https://www.worldscientific.com/doi/10.1142/S0219622012500216 15. Elghamrawy, S.M. & Hassanien, A.E. “A partitioning framework for Cassandra NoSQL database using Rendezvous hashing.” The Journal of Supercomputing (2017): October 2017, Volume 73, Issue 10, pp 4444–4465 (Q1 –Impact Factor =2.474) https://link.springer.com/article/10.1007/s11227-017-2027-5 16. Sally M. Elghamrawy, Ali I. Eldesouky and Ahmed I. Saleh, “Implementing a Dynamic Ontology Mapping Approach in Multiplatform Communication Module for Distributed Multi-Agent System”, IJICIC, vol. 8 No. 7, July 2012 (Impact Factor =1.664). http://www.ijicic.org/ijicic-11-04042.pdf 17. ELGhamrawy, S.M., 2020. Diagnosis and Prediction Model for COVID19 Patients Response to Treatment based on Convolutional Neural Networks and Whale Optimization Algorithm Using CT Images. medRxiv. https://www.medrxiv.org/content/10.1101/2020.04.16.20063990v1 18. Khalifa, N.E.M., Taha, M.H.N., Hassanien, A.E. and Elghamrawy, S., 2020. Detection of coronavirus (COVID-19) associated pneumonia based on generative adversarial networks and a fine-tuned deep transfer learning model using chest X-ray dataset. arXiv preprint arXiv:2004.01184. https://arxiv.org/abs/2004.01184 19. Khashan, E.A., Eldesouky, A.I., and Elghamrawy, S.M. A Framework for Executing Complex Querying for Relational and NoSQL Databases (CQNS), EJECE journal, Vol 4 No 5 (2020) https://ejece.org/index.php/ejece/article/view/195 20. Eslam. M. Hassib, Ali. E. Eldesokey, Labib. M. Labib, Sally Elghamrawy, “LSH-SMOTE: A Modified SMOTE Algorithm for Imbalanced Data-sets” ‘Ciencia e Tecnica Vitivinicola’ Journal, Vol. 33 (no 4, 2018). (Q3- 2016 Impact Factor = 0.85). http://ciencia-e-tecnica.org/cien/index.php/archive/part/33/4/1/?currentVol=33¤tissue=4 21. Sally M. El-Ghamrawy and Ali I. El-Desouky,” Distributed Multi-Agent Communication System based on Dynamic Ontology Mapping”, IJCNDS, International Journal of Communication Networks and Distributed Systems, InderScience, Vol.10 No. 1, 2013,(pp. 01-24) ISSN (Online): 1754-3924 – ISSN (Print): 1754-3916. (Q3 – CiteScore 2020:1.9) https://www.inderscienceonline.com/doi/abs/10.1504/IJCNDS.2013.050503 22. Sally M. Elghamrawy, Ali I. Eldesouky and Ahmed I. Saleh, “Implementing a Granular Rough Model for Task Allocation and Coordination Mechanism Selection in a Decision Support Module for Distributed Multi-Agent System”, IJICIC, International Journal of Innovative Computing, Information and Control, vol. 8 No. 6, ISSN 1349-4198, June 2012 Accepted (2010 Impact Factor =1.664). https://www.researchgate.net/publication/360877163_Implementing_a_Granular_Rough_Model_for_Task_Allocation_and_Coordination_Mechanism_Selection_in_a_Decision_Support_Module_for_Distributed_Multi-Agent_System 23. Sally M. El-Ghamrawy, Ali I. El-Desouky AND Ahmed I. Saleh “Distributed Task Allocation in Multi-Agent System Based on Decision Support Module”, IJCSIS, International Journal of Computer Science and Information Security, Vol. 8 No. 9 DECEMBER 2010, (pp. 023-028), ISSN: 1947-5500 [IJCSIS, USA], (IC=5.5) (Best Paper Award). https://sites.google.com/site/ijcsis/all-volumes-issues/vol-8-no-9-dec-2010 24. Nahla Bishri, Sally Elghamrawy and Ali Eldesouki, “A Proposed Clustered Knowledge Management Development Framework (CKMD)”. International Journal of Scientific & Engineering Research, Volume 6, Issue 4, April-2015. ISSN 2229-5518. https://www.ijser.org/onlineResearchPaperViewer.aspx?A-Proposed-Clustered-Knowledge-Management-Development-Framework-CKMD.pdf 25. Sally M. El-Ghamrawy AND Ali I. El-Desouky, “Scalability and Load Balancing for Multiplatform Communication System Architecture based on Intelligent Agents”, IJCSIS, International Journal of Computer Science and Information Security, Vol. 6 No. 2 NOVEMBER 2009, (pp. 023-028), ISSN: 1947-5500 [IJCSIS, USA] (IC=5.5). https://sites.google.com/site/ijcsis/all-volumes-issues/vol-6-no-2-nov-2009 26. Sally M. El-Ghamrawy, Ali I. El-Desouky and Mostafa Saleh, “Implementing a Decision Support Module in Distributed Multi-Agent System for Task Allocation Using Granular Rough Model”, IJET, IACSIT International Journal of Engineering and Technology, Vol.3, No.1, February 2011, ISSN: 1793-8236. http://www.ijetch.org/show-35-158-1.html –http://www.ijetch.org/papers/205-T645.pdf 27. Fadel, M.M., El-Ghamrawy, S.M., Ali-Eldin, A.M., Hassan, M.K. and El-Desoky, A.I., 2022. The proposed hybrid deep learning intrusion prediction IoT (HDLIP-IoT) framework. PloS one, 17(7), p.e. 0271436. Q1– (Impact Factor =2.74). 28. M. M. Fadel, S. M. El-Ghamrawy, A. M. T. Ali-Eldin, M. K. Hassan and A. I. El-Desoky, “Hdlidp: a hybrid deep learning intrusion detection and prevention framework,” Computers, Materials & Continua, vol. 73, no.2, pp. 2293–2312, 2022. Q1– (Impact Factor =4.89). 29. Shawkat, M., Badawi, M., El-ghamrawy, S., Arnous, R. and El-desoky, A., 2022. An optimized FP-growth algorithm for discovery of association rules. The Journal of Supercomputing, 78(4), pp.5479-5506. Q2 – (Impact Factor =2.474). |
| International Conferences Papers |
| 30. Elghamrawy, S.M., Lotfy, M.O. and Elawady, Y.H., 2022. An Intrusion Detection Model Based on Deep Learning and Multi-layer Perceptron in the Internet of Things (IoT) Network. In International Conference on Advanced Machine Learning Technologies and Applications (pp. 34-46). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-031-03918-8_4 31. Elghamrawy S. (2021) Healthcare Informatics Challenges: A Medical Diagnosis Using Multi Agent Coordination-Based Model for Managing the Conflicts in Decisions. In: Hassanien A.E., Slowik A., Snášel V., El-Deeb H., Tolba F.M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020. AISI 2020. Advances in Intelligent Systems and Computing, vol 1261. Springer, Cham. https://doi.org/10.1007/978-3-030-58669-0_32 https://link.springer.com/chapter/10.1007/978-3-030-58669-0_32 32. Elghamrawy, S.M. and Ibrahim, S.E., 2021, December. Audio Signal Processing and Musical Instrument Detection using Deep Learning Techniques. In 2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC) (pp. 146-149). IEEE. https://ieeexplore.ieee.org/document/9691427 33. Attia, A.R.M. and ElGhamrawy, S.M., 2021, December. Deep Learning Based Early Diagnosis for SARS-CoV-2 Using Chest X-Ray Images. In International Conference on Advanced Intelligent Systems and Informatics (pp. 3-18). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-89701-7_1 34. El-Shafeiy E.A., El-Desouky A.I., Elghamrawy S.M. (2018) Prediction of Liver Diseases Based on Machine Learning Technique for Big Data. In: Hassanien A., Tolba M., Elhoseny M., Mostafa M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). AMLTA 2018. Advances in Intelligent Systems and Computing, vol 723. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-319-74690-6_36 35. Sally M. El-Ghamrawy, An Adaptive Load-balanced Partitioning Module in Cassandra using Rendezvous Hashing, Proceedings of the International Conference on Advanced Intelligent Systems and Informatics (AISI 2016), Volume 533 of the series Advances in Intelligent Systems and Computing, Cairo-Egypt, 24-26 November, 2016, pp 587-597, 2016. https://link.springer.com/chapter/10.1007/978-3-319-48308-5_56 36. Sally M. El-Ghamrawy, A Knowledge Management Framework for Imbalanced Data using Frequent Pattern Mining Based on Bloom Filter, the 11th IEEE International Conference on Computer Engineering and Systems (ICCES 2016), Cairo, Egypt, December 20-21, 2016 https://ieeexplore.ieee.org/document/7822004 37. Sally M. El-Ghamrawy AND Ali I. El-Desouky , “A Framework for Distributed Decision Support Multi-agent Intelligent System”, The 2008 World Congress in Computer Science, Computer Engineering, and Applied Computing, International Conference on Artificial Intelligence, ICAI08-WORLDCOMP08, pp: 158-164, Las Vegas, Nevada, USA. https://www.researchgate.net/publication/220835012_A_Framework_for_Distributed_Decision_Support_Multi-Agent_Intelligent_System 38. Sally M. El-Ghamrawy AND Ali I. El-Desouky, “Scalability and Load Balancing for Multiplatform Communication System Architecture based on Intelligent Agents”, ICCES’09, The 2009 International Conference on Computer Engineering & Systems (ICCES’09) December 14-16,2009, sponsored by IEEE Faculty of Engineering, Ain Shams University. Cairo, EGYPT. https://ieeexplore.ieee.org/abstract/document/5383291 39. Ali I. El-Desouky AND Sally M. El-Ghamrawy, “A proposed Framework for Distributed Decision Support Multi-Agent Intelligent System”, INFOS2008, Sixth International Conference, 2008, sponsored by IEEE, Faculty of Computers and Information, Cairo University. Cairo, EGYPT. 40. Sally M. El-Ghamrawy, Ali I. El-Desouky AND M. Sherif ,” Dynamic Ontology Mapping for Communication in Distributed Multi-Agent Intelligent System”, ICNM’09, The 2009 International Conference on Networking & Media Convergence (ICNM’09) March 24-25, 2009, sponsored by IEEE Faculty of Engineering, Ain Shams University. Cairo, EGYPT. https://ieeexplore.ieee.org/document/4907198 41. Ali I. El-Desouky, Hesham A. Ali, AND Sally M. El-Ghamrawy, “A Proposed Architecture for Distributed Multi-Agent Intelligent System (DMAIS)”, INFOS2007, Fifth International Conference , 2006, sponsored by IEEE, Faculty of Computers and Information ,Cairo University. Cairo, EGYPT. https://www.researchgate.net/publication/238473975_A_Proposed_Architecture_for_Distributed_Multi-Agent_Intelligent_System_DMAIS 42. Ali I. El-Desouky, Hesham A. Ali, AND Sally M. El-Ghamrawy, “A New Framework For Domain-specific Hidden Web Crawling based on data Extraction Techniques”, ICICT2006, Fourth International Conference on Information and communication Technology sponsored by IEEE, Cairo University. Cairo, EGYPT. https://ieeexplore.ieee.org/document/4196519 43. Ali I. El-Desouky, Hesham A. Ali, AND Sally M. El-Ghamrawy, “An Automatic Label Extraction Technique For Domain-Specific Hidden Web Crawling (LEHW)”, ICCES’06, The 2006 International Conference on Computer Engineering & Systems November 5-7, 2006, sponsored by IEEE Faculty of Engineering, Ain Shams https://ieeexplore.ieee.org/document/4115550 44. Sally Elghamrawy, “Spectrum Sensing Optimization in Cognitive Radio Network Using Genetic Artificial Bee Colony (GABC) Algorithm” presented in the workshop held in Zewail City of Science and Technology in cooperation with the Academy of scientific research and the union of Arab universities titled “Intelligent system and optimization (ISO’17), during the period from 7 to 6 may 2016. |
| Book Chapters |
| 45. Waleed, A. and Elghamrawy, S.M., 2022. An Intelligent Cloud Computing Context-Aware Model for Remote Monitoring COVID-19 Patients Using IoT Technology. In Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 (pp. 197-219). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-77302-1_11 46. Hassan, M. K., El Desouky, A. I., Elghamrawy, S. M., & Sarhan, A. M. (2019). Big Data Challenges and Opportunities in Healthcare Informatics and Smart Hospitals. In Security in Smart Cities: Models, Applications, and Challenges (pp. 3-26). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-01560-2_1 47. Elghamrawy, S., 2020. An H2O’s Deep Learning-Inspired Model Based on Big Data Analytics for Coronavirus Disease (COVID-19) Diagnosis. In Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach (pp. 263-279). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-55258-9_16 48. Elghamrawy, Sally M., Ashraf Darwish, and Aboul Ella Hassanien. “Monitoring COVID-19 Disease Using Big Data and Artificial Intelligence-Driven Tools.” (2021): 163-174. https://link.springer.com/chapter/10.1007/978-3-030-63307-3_10 |
| Books |
| 49. Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 https://link.springer.com/book/10.1007/978-3-030-77302-1#about 50. Big Data Analytics and Artificial Intelligence against COVID-19: Innovation Vision and Approach. https://www.springer.com/gp/book/9783030552572 |