| An agent-based modeling for pandemic influenza in Egypt KM Khalil, M Abdel-Aziz, TT Nazmy, ABM Salem Handbook on Decision Making: Vol 2: Risk Management in Decision Making, 205-218, 2012 | 80 | 2012 |
| Multi-agent crisis response systems-design requirements and analysis of current systems KM Khalil, M Abdel-Aziz, TT Nazmy, ABM Salem arXiv preprint arXiv:0903.2543, 2009 | 28 | 2009 |
| MLIMAS: A framework for machine learning in interactive multi-agent systems KM Khalil, M Abdel-Aziz, TT Nazmy, ABM Salem Procedia Computer Science 65, 827-835, 2015 | 17 | 2015 |
| The role of artificial intelligence technologies in crisis response KM Khalil, M Abdel-Aziz, TT Nazmy, ABM Salem arXiv preprint arXiv:0806.1280, 2008 | 17 | 2008 |
| Web-based multi-user concurrent job scheduling system on the shared computing resource objects T Habuza, K Khalil, N Zaki, F Alnajjar, M Gochoo 2020 14th International Conference on Innovations in Information Technology …, 2020 | 12 | 2020 |
| Cloud simulators–an evaluation study KM Khalil, M Abdel-Aziz, TT Nazmy, ABM Salem International Journal Information Models and Analyses 6 (1), 2017 | 11 | 2017 |
| Intelligent techniques for resolving conflicts of knowledge in multi-agent decision support systems KM Khalil, M Abdel-Aziz, TT Nazmy, ABM Salem arXiv preprint arXiv:1401.4381, 2014 | 11 | 2014 |
| Machine learning algorithms for multi-agent systems KM Khalil, M Abdel-Aziz, TT Nazmy, ABM Salem Proceedings of the International Conference on Intelligent Information …, 2015 | 10 | 2015 |
| Handbook on Decision Making KM Khalil, M Abdel-Aziz, TT Nazmy, ABM Salem Springer, 2012 | 9 | 2012 |
| Bridging the gap between crisis response operations and systems KM Khalil, M Abdel-Aziz, TT Nazmy, ABM Salem arXiv preprint arXiv:0908.4290, 2009 | 6 | 2009 |
| Deep learning approach to security enforcement in cloud workflow orchestration HT El-Kassabi, MA Serhani, MM Masud, K Shuaib, K Khalil Journal of Cloud Computing 12 (1), 10, 2023 | 5 | 2023 |
| A novel patient similarity network (PSN) framework based on multi-model deep learning for precision medicine AN Navaz, H T. El-Kassabi, MA Serhani, A Oulhaj, K Khalil Journal of Personalized Medicine 12 (5), 768, 2022 | 5 | 2022 |
| Deep learning approach for forecasting athletes' performance in sports tournaments HT El-Kassabi, K Khalil, MA Serhani Proceedings of the 13th International Conference on Intelligent Systems …, 2020 | 5 | 2020 |
| Multi-Agent Model for Job Scheduling in Cloud Computing ABMS Khaled M. Khalil, M. Abdel-Aziz, Taymour T. Nazmy NAUN International Journal of Computers 11, 11-17, 2017 | 5* | 2017 |
| Artificial immune systems metaphor for agent based modeling of crisis response operations KM Khalil, M Abdel-Aziz, TT Nazmy, ABM Salem Handbook on Decision Making: Vol 2: Risk Management in Decision Making, 417-428, 2012 | 3 | 2012 |
| The Effect of Visual, Auditory, Tactile and Cognitive Feedback in Motor Skill Training: A Pilot Study Based on VR Gaming F Alnajjar, Q An, M Saravanan, K Khalil, M Gochoo, S Shimoda Converging Clinical and Engineering Research on Neurorehabilitation IV …, 2022 | 1 | 2022 |
| A Cloud-based Framework for COVID-19 Media Classification, Information Extraction, and Trends Analysis HT El-Kassabi, MA Serhani, K Khalil, A Benharref 2021 IEEE Cloud Summit (Cloud Summit), 7-12, 2021 | | 2021 |
| Multiply-sectioned Bayesian network for multi-agent learning based meta resources scheduling in CloudSim KM Khalil, M Abdel-Aziz, TT Nazmy, ABM Salem 2017 Eighth International Conference on Intelligent Computing and …, 2017 | | 2017 |
| CloudSummit 2021 L AI, SU Khan, T Hadeel, MA Serhani, K Khalil, A Benharref, H Qarawlus, ... | | |
| The Effect of Various Sensory Feedbacks in Motor Skill Training: A VR-based Study FS Alnajjar, Q An, M Saravanan, K Khalil, S Shimoda | | |
