Department of Electrical & Computer Engineering
Institut für Datentechnik und Kommunikationsnetze
Office: 11th floor, room 1105
Hans-Sommer-Str. 66
38106 Braunschweig
Email: mounir.bensalem@tu-bs.de
I am a Ph.D. candidate and research assistant at the Institute of Computer and Network Engineering at the Technical University of Braunschweig, Germany. In 2017, I obtained both my Engineering Diploma in Industrial Engineering and my master’s degree in Information System Techniques from the National Engineering School of Tunis, Tunisia.
My current research focuses on integrating machine learning and edge computing in next-generation network architectures. Recent work includes optimizing LoRa through TinyML-based channel hopping, analyzing signaling performance for reconfigurable intelligent surfaces (RIS), and using reinforcement learning for serverless function scaling at the network edge. By integrating AI-driven approaches with cutting-edge networking technologies, I aim to contribute to the design of intelligent, adaptive, and high-performance infrastructures for the future of connectivity.
F. Gentzen, M. Bensalem and A. Jukan, "Effective ML Model Versioning in Edge Networks", Nov 2024, [arxiv]
Z. Ennaceur, M. Bensalem, A. Jukan, C. Keuker, H. Wu, R. Pries, "On Efficient Topology Management in Service-Oriented 6G Networks: An Edge Video Distribution Case Study", October 2024 [arxiv]
M. Grunewald, M. Bensalem, J. Dizdarević and A. Jukan, "Towards Smart Microfarming in an Urban Computing Continuum", In 2024 IEEE Latin-American Conference on Communications (LATINCOM), Medellín, Colombia, 2024 [arxiv]
C. Muonagor, M. Bensalem and A. Jukan, "Predictive Intent Maintenance with Intent Drift Detection in Next Generation Network", In 2024 IEEE Latin-American Conference on Communications (LATINCOM), Medellín, Colombia, 2024 [arxiv]
M. Bensalem and A. Jukan, "Outage Probability Analysis of Wireless Paths with Faulty Reconfigurable Intelligent Surfaces", In 2024 IEEE Latin-American Conference on Communications (LATINCOM), Medellín, Colombia, 2024 [arxiv]
Z. Ennaceur, M. Bensalem, C. V. Phung, A. Drummond and A. Jukan,"Enabling 6G Campus Networks Intelligent Control with Digital Twin: A case study", IEEE Network Operations and Management Symposium (NOMS), Seoul, Korea, Republic of, 2024, pp. 1-6, doi: 10.1109/NOMS59830.2024.10575904.
M. Bensalem, M. Bensalem, E. Ipek and A. Jukan, "Scaling Serverless Functions in Edge Networks: A Reinforcement Learning Approach," GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023, pp. 1777-1782, doi: 10.1109/GLOBECOM54140.2023.10437794, [arxiv]
M. Bensalem, F. Carpio and A. Jukan, "Towards optimal serverless function scaling in edge computing network." 2023 IEEE International Conference on Communications (ICC): Communication QoS, Reliability and Modeling (CQRM) Symposium, Rome, Italy 2023, [arxiv]
M. Bensalem, A. Engelmann, A. Jukan, "Towards Optimal Path Allocation for Unreliable Reconfigurable Intelligent Surfaces," 2023 19th International Conference on the Design of Reliable Communication Networks (DRCN), Vilanova i la Geltru, Spain, 2023, pp. 1-8, doi: 10.1109/DRCN57075.2023.10108214. [arXiv]
M. Bensalem, J. Dizdarević and A. Jukan, "Benchmarking Various ML Solutions in Complex Intent-Based Network Management Systems," 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO), 2022, pp. 476-481, doi: 10.23919/MIPRO55190.2022.9803584.
C. V. Phung, M. Bensalem and A. Jukan, "Benchmarking Buffer Size in IoT Devices Deploying REST HTTP," 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO), 2022, pp. 409-414, doi: 10.23919/MIPRO55190.2022.9803729. Best Paper Award
M. Bensalem and A. Jukan, "Benchmarking Machine Learning Techniques for THz Channel Estimation Problems," 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO), 2022, pp. 459-464, doi: 10.23919/MIPRO55190.2022.9803741.
M. Bensalem, J. Dizdarević, F. Carpio and A. Jukan, "The Role of Intent-Based Networking in ICT Supply Chains", accepted in 2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR). [arXiv]
Í. Brasileiro, M. Bensalem, A. Drummond, A. Jukan, "Jamming-Aware Control Plane in Elastic Optical Networks." arXiv preprint arXiv:2006.02896 (2020). [arxiv]
M. Bensalem, J. Dizdarević, A. Jukan, "DNN Placement and Inference in Edge Computing", 43nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, 2020
M. Bensalem, Í. Brasileiro, A. Drummond, A. Jukan, "Embedding Jamming Attacks into Physical Layer Models in Optical Networks",2020 International Conference on Optical Network Design and Modeling (ONDM). [arxiv]
M. Bensalem, J. Dizdarević, A. Jukan, "Modeling of Deep Neural Network (DNN) Placement and Inference in Edge Computing." IEEE ICC 2020 Workshop - Edge Machine Learning for 5G Mobile Networks and Beyond, Dublin, Ireland, 2020. [arxiv]