Ph.D. Thesis: Adaptive Multi-Objective Reinforcement Learning for Traffic Signal Control Based on Cooperative Multi-Agent Framework https://www.researchgate.net/publication/261877069_Adaptive_Multi-Objective_Reinforcement_Learning_For_Traffic_Signal_Control_Based_on_Cooperative_Multi-Agent_Framework
M.Sc. Thesis: Designing Multi-Agent Unit Tests Using Systematic Test Design Patterns https://www.researchgate.net/publication/366734219_Designing_Multi-Agent_Unit_Tests_Using_Systematic_Test_Design_Patterns
B.Sc. Thesis: An Agent-Based Bidding System Implementing an Electric Power Market
Ahmed El-Mahdy, Mohamed A. Khamis, Kholoud Shata, Walid Gomaa, "System and Method for During Crash Accident Detection and Notification", Patent Number: 2020/771, Filing Date: 9 June 2020, Filing Place: Egypt
Ahmed El-Mahdy, Mohamed A. Khamis, Kholoud Shata, "An in-Vehicle System and Method for During Accident Detection without being Fixed to Vehicle", Patent Number: 2020/769, Filing Date: 9 June 2020, Filing Place: Egypt
Markov Switching Model for Driver Behavior Prediction: Use cases on Smart phones
MARL-FWC: Optimal Coordination of Freeway Traffic Control Measures
Deep learning is competing random forest in computational docking
International Refereed Journals:
Mohamed A. Khamis, Walid Gomaa, Analysis of the Arab Singer Shadia’s Lyrics, Springer International Journal of Data Science and Analytics, doi:10.1007/s41060-024-00669-9
https://link.springer.com/content/pdf/10.1007/s41060-024-00669-9.pdf
Mohamed Zaytoon, Muhannad Bashar, Mohamed A. Khamis, Walid Gomaa, Amina: an Arabic multi-purpose integral news articles dataset, Springer Neural Computing and Applications, doi:10.1007/s00521-024-10277-0
https://link.springer.com/content/pdf/10.1007/s00521-024-10277-0.pdf
Moayadeldin Tamer, Mohamed A. Khamis, Abdallah Yahia, SeifALdin Khaled, Abdelrahman Ashraf, Walid Gomaa, Arab reactions towards Russo-Ukrainian war, Springer EPJ Data Science, doi: 10.1140/epjds/s13688-023-00415-4. https://link.springer.com/content/pdf/10.1140/epjds/s13688-023-00415-4.pdf
Walid Gomaa; Mohamed A. Khamis, A Perspective on Human Activity Recognition from Inertial Motion Data, Springer Neural Computing and Applications, doi: 10.1007/s00521-023-08863-9. Both authors contributed equally to this work. https://link.springer.com/content/pdf/10.1007/s00521-023-08863-9.pdf
Omar M. Saad; Yunfeng Chen; Daniel Trugman; M. Sami Soliman; Lotfy Samy; Alexandros Savvaidis; Mohamed A. Khamis; Ali G. Hafez; Sergey Fomel; Yangkang Chen, Machine learning for the fast and reliable source-location prediction in earthquake early warning, IEEE Geoscience and Remote Sensing Letters https://ieeexplore.ieee.org/document/9678382/ DOI: 10.1109/LGRS.2022.3142714, Impact Factor: 5.343
Mohamed A. Khamis, Walid Gomaa, Comparative Assessment of Machine-Learning Scoring Functions on PDBbind 2013, Journal of Engineering Applications of Artificial Intelligence, Elsevier, Volume 45, October 2015, Pages 136-151, Impact Factor: 7.802 .
Mohamed A. Khamis, Walid Gomaa, Walaa A. Fathy, Machine Learning in Computational Docking, Artificial Intelligence In Medicine, Elsevier, Volume 63(3), March 2015, Pages 135-152, Impact Factor: 7.011.
Mohamed A. Khamis and Walid Gomaa, Adaptive multi-objective reinforcement learning with hybrid exploration for traffic signal control based on cooperative multi-agent framework, Journal of Engineering Applications of Artificial Intelligence, Elsevier, Volume 29, March 2014, Pages 134-151, Impact Factor: 7.802 .
Mohamed A. Khamis and Khaled M. Nagi, Designing multi-agent unit tests using systematic test design patterns - (extended version), Journal of Engineering Applications of Artificial Intelligence, Elsevier, Volume 26, Issue 9, October 2013, Pages 2128-2142, Impact Factor: 7.802 .
Proceedings of Book Chapters:
Ahmed B. Zaky, Mohamed A. Khamis, Walid Gomaa, Markov Switching Model for Driver Behavior Prediction: Use cases on Smart phones, In: Al-Emran, M., Shaalan, K. (eds) Recent Innovations in Artificial Intelligence and Smart Applications. Studies in Computational Intelligence, vol 1061. pp. 255–275, 2022. Springer, Cham. https://doi.org/10.1007/978-3-031-14748-7_15 .
Ahmed Fares, Mohamed A. Khamis, Walid Gomaa, MARL-FWC Optimal Coordination of Freeway Traffic Control Measures, International conference on 7th International Conference on Advanced ML and Technologies (AMLTA 22). A. E. Hassanien et al. (Eds.): LNDECT 113, pp. 643–656, 2022. https://doi.org/10.1007/978-3-031-03918-8_53
https://link.springer.com/content/pdf/10.1007/978-3-031-03918-8_53.pdf
Islam ElShaarawy, Mohamed A. Khamis, Walid Gomaa, Chaos-based Applications of Computing Dynamical Systems at Finite Resolution, International conference on 7th International Conference on Advanced ML and Technologies (AMLTA22). A. E. Hassanien et al. (Eds.), LNDECT 113, pp. 688–696, 2022. https://doi.org/10.1007/978-3-031-03918-8_57
https://link.springer.com/content/pdf/10.1007/978-3-031-03918-8_57.pdf
Proceedings of International Conferences:
Mohamed A. Khamis, Walid Gomaa, LLM based Emotion Analysis of Arabic Songs: Shadia as a Case Study, 2024 12th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC), Alexandria, Egypt, 16-18 Dec. 2024.
Mohamed A. Khamis, Basem Galal, Walid Gomaa, Deep Learning is Competing with Random Forest in Computational Docking, 2023 11th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC), Alexandria, Egypt, 18-20 Dec. 2023, pp. 62-67. https://ieeexplore.ieee.org/document/10479635
Ahmed Sharshar, Ahmed H Abo Eitta, Ahmed Fayez, Mohamed A. Khamis, Ahmed B. Zaky, Walid Gomaa, Camera Coach: Activity Recognition and Assessment Using Thermal and RGB Videos, International Joint Conference on Neural Networks 2023 (IJCNN 2023), Gold Coast, Australia, 18-23 June 2023, pp. 1-8. https://ieeexplore.ieee.org/document/10191379
Mohamed A. Khamis, Ahmed El-Mahdy, Kholoud Shata, Walid Gomaa, Fast Fourier Transform based Method for Accident Detection, in Proc. of the 10th IEEE International Japan-Africa Conference on Electronics, Communications and Computers (JAC-ECC 2022), Alexandria, Egypt, 19-20 Dec.2022, pp. 152 - 157. https://ieeexplore.ieee.org/document/10044018
Norhan Elsayed Amer, Ahmed El Mahdy, Mohamed A. Khamis, Walid Gomaa, Amin Shoukry, On-Edge Driving Maneuvers Detection in Challenging Environments from Smartphone Sensors, in Proc. of the 10th IEEE International Japan-Africa Conference on Electronics, Communications and Computers (JAC-ECC 2022), Alexandria, Egypt, 19-20 Dec.2022, pp. 158 - 163. https://ieeexplore.ieee.org/document/10044015
Ahmed Zaky, Walid Gomaa, Mohamed A. Khamis, Car Following Markov Regime Classification and Calibration, Proc. of the 14th IEEE International Conference on Machine Learning and Applications (ICMLA 2015), Miami, Florida, USA, 9-11 Dec. 2015 (acceptance rate of about 30%).
Mohamed A. Khamis and Walid Gomaa, Enhanced Multiagent Multi-Objective Reinforcement Learning for Urban Traffic Light Control, Proc. of the 11th IEEE International Conference on Machine Learning and Applications (ICMLA 2012), Boca Raton, Florida, USA, 12-15 Dec. 2012, pp. 586-591.
ICMLA Main Conference Poster Presentation
Partially funded by IBM Ph.D. Fellowship and EJUST Faculty Member Research Grant
Mohamed A. Khamis, Walid Gomaa, and Hisham El-Shishiny, Multi-Objective traffic light control system based on Bayesian probability interpretation, Proc. of 15th IEEE Intelligent Transportation Systems Conference (ITSC 2012), Anchorage, Alaska, USA, 16-19 Sept. 2012, pp. 995–1000.
Simulation and Modeling 6 Regular Session
Partially funded by IBM Ph.D. Fellowship and Pharco Pharmaceuticals Corporation Grant
Mohamed A. Khamis, Walid Gomaa, Ahmed El-Mahdy, and Amin Shoukry, Adaptive traffic control system based on Bayesian probability interpretation, in Proc. of the 2012 IEEE Japan-Egypt Conference on Electronics, Communications and Computers (JEC-ECC 2012), Alexandria, Egypt, 6-9 Mar. 2012, pp. 151–156. https://ieeexplore.ieee.org/document/6186974/
Software Engineering and Applications 4A Regular Session. (acceptance rate 51.6%), nominated best paper award.
Partially funded by IBM Ph.D. Fellowship and EJUST Member Research Aid Grant
Khaled M. Nagi and Mohamed A. Khamis, "Designing Multi-Agent Unit Tests Using Systematic Test Design Patterns," in Proc. of the 5th IADIS International Conference on Intelligent Systems and Agents ISA 2011.
IADIS - International Association for Development of the Information Society, Rome, Italy, 24-26 July 2011, pp. 11–18.
Agents Analysis and Design - Multi-Agent Systems Session. (acceptance rate of about 15%): http://www.iadisportal.org/previouseditions/MCCSIS_2011.pdf