Amine Abouaomar, Ph.D., Member IEEE
Assistant Professor
School of Science and Engineering
Al Akhawayn University in Ifrane
Ifrane
Morocco.
Amine Abouaomar [GM 17', M21'] is currently an assistant professor at Al Akhawayn University in Ifrane, Morocco. Dr. Abouaomar received his PhD. in electrical engineering and computer science from Université of Sherbrooke (QC) Canada, and ENSIAS, Mohammed V University of Rabat, Morocco in 2021. He received the B.Sc. degree in computer science and the M.Sc. of Research degree in computer science from Ibn Tofail University, Morocco, in 2014 and 2016, respectively. Dr. Abouoamar received the Mitacs Elevate Fellowship in 2022.
In terms of research, I am interested in:
- Next-generation wireless networks and communications.
- Networks virtualization.
- Edge computing networks and resource allocation.
- Mean-Field Games Reinforcement Learning
- Federated/Distributed Learning
-
2018-2021
Ph.D., Electrical Engineering
Université de Sherbrooke (QC), Canada
Dissertation: Resource Allocation in Mobile Edge Computing Environement Networks
Advisor: Pr. Soumaya Cherkaoui
Keywords : 5G and Beyond, Resource Allocation, Fog/Edge computing, SDN/NFV, SFC, Vehicular Communication -
2017-2021
Ph.D., Computer Science
Mohammed V University, Rabat, Morocco
Dissertation: Resource Allocation in Mobile Edge Computing Environement Networks
Advisor:Pr. Abdellatif Kobbane
Keywords : 5G and Beyond, Resource Allocation, Fog/Edge computing, SDN/NFV, SFC, Vehicular Communication -
2014-2016
Master of Research in Computer Science
Faculty of Science, Ibn Tofail University, Kenitra, Morocco
Dissertation: Internet of Things Integration into Hybrid Cloud Infrastrucutre (OpenStack)
Dissertation Advisor: Dr. Ikram El Azami - 2010-2014 Bachelor in Computer Science
Faculty of Science, Ibn Tofail University, Kenitra, Morocco.
In Preparation
- [J] "Critical-Missions Vehicles Topology Hybridization in 5G and Beyond Networks", [In preparation]
- [J] "Share More, Learn More: A Mean-Field Game model for Multi-Agent Reinforcement Learning", [In preparation]
- [C] "Federated Learning Resource Allocation for eMBB and URLLC Beyond 5G Networks", [In preparation]
- [C] "MMTC Resource Allocation using Federated Learning", [In preparation]
Published
- [J4] A. Abouaomar, A. Taik, A. Filali, and S. Cherkaoui, "Federated Learning for RAN Slicing in Beyond 5G Networks," Accepted in IEEE Communications Magazine [IF: 9.03] 2022.
- [J3] A. Abouaomar, S. Cherkaoui, Z. Mlika and A. Kobbane, "Service Function Chaining in MEC: A Mean-Field Game and Reinforcement Learning Approach," arXiv preprint arXiv:2105.04701, 2021. Accepted in IEEE Systems Journal [IF: 4.802]
- [J2] A. Abouaomar, S. Cherkaoui, Z. Mlika and A. Kobbane, "Resource Provisioning in Edge Computing for Latency Sensitive Applications," in IEEE Internet of Things Journal, 2021. [IF : 9.936]
- [J1] A. Filali, A. Abouaomar, S. Cherkaoui, A. Kobbane and M. Guizani, "Multi-Access Edge Computing: A Survey," in IEEE Access, vol. 8, pp. 197017-197046, 2020. [IF : 3.367]
- [C8] A. Abouaomar, S. Cherkaoui, Z. Mlika and A. Kobbane, "Mean-Field Game and Reinforcement Learning MEC Resource Provisioning for SFC," 2021 IEEE Global Communications Conference (GLOBECOM), 2021, pp. 1-6, doi: 10.1109/GLOBECOM46510.2021.9685236. [CORE-B]
- [C7] A. Abouaomar, Z. Mlika, A. Filali, S. Cherkaoui and A. Kobbane, "A Deep Reinforcement Learning Approach for Service Migration in MEC-enabled Vehicular Networks," 2021 IEEE 46th Conference on Local Computer Networks (LCN), 2021, pp. 273-280, doi: 10.1109/LCN52139.2021.9524882. [CORE-A]
- [C6] A. Abouaomar, S. Cherkaoui, A. Kobbane and O. A. Dambri, "A Resources Representation for Resource Allocation in Fog Computing Networks," 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019, pp. 1-6. [CORE-B]
- [C5] O. A. Dambri, A. Abouaomar and S. Cherkaoui, "Design Optimization of a MIMO Receiver for Diffusion-based Molecular Communication," 2019 IEEE Wireless Communications and Networking Conference (WCNC), 2019, pp. 1-6, doi: 10.1109/WCNC.2019.8885805. [CORE-B]
- [C4] Z. Ennya, M. Y. Hadi and A. Abouaomar, "Computing Tasks Distribution in Fog Computing: Coalition Game Model," 2018 6th International Conference on Wireless Networks and Mobile Communications (WINCOM), 2018, pp. 1-4, doi: 10.1109/WINCOM.2018.8629587. [CORE-B]
- [C3] A. Abouaomar, A. Kobbane and S. Cherkaoui, "Matching-Game for User-Fog Assignment," 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 2018, pp. 1-6. [CORE-B]
- [C2] A. Abouaomar, M. Elmachkour, A. Kobbane, H. Tembine and M. Ayaida, "Users-Fogs association within a cache context in 5G networks:Coalition game model," 2018 IEEE Symposium on Computers and Communications (ISCC), Natal, 2018, pp. 00014-00019. [CORE-B]
- [C1] A. Abouaomar, A. Filali and A. Kobbane, "Caching, device-to-device and fog computing in 5th cellular networks generation : Survey," 2017 International Conference on Wireless Networks and Mobile Communications (WINCOM), Rabat, 2017, pp. 1-6.
- Publication Chairs of 2022 WINCOM Conference
- Mentoring 3 PhD students
- Responsible ML.
- Green ML.
- Resource Management in B5G.
- IEEE Member since April 2021 and IEEE Student Member since Mai 2017
- Active Member in IEEE Technical Program Chairs
- IoT & Adhoc and Sensor Networks
- Communication Software and Multimedia
Reviewer for,
- IEEE Transactions on Communications
- IEEE Systems Journal
- Elsevier Vehicular Communications
- Elsevier Computer Networks
- Wiley Concurrency and Computation: Practice and Experience (CCPE)
- MDPI
- [2018-2022] IEEE International Conference on Communications (ICC)
- [2018-2021] IEEE Global Communications Conference (GLOBECOM)
- [2018-2020] (WCNC)
- [2018-2019] IEEE Local Computer Networks (LCN)
- [2019] (GCIoT)
- [2018] (CommNet)
- Optimization and mathematical simulations
- Game theory
- Machine learning
- Distributed systems
- Python, PyTorch
- Java, JEE, Spring Boot
- C/C++
- Matlab, CPLEX