Mounir Bensalem

Mounir Bensalem

Mounir

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

Biography

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. From mathematical analysis  to building ML/AI-driven solutions. Skilled in optimization models, mathematical programming,  machine learning and agentic AI, with the application of these techniques to edge-to-cloud networking and  wireless network problems such as wireless resource allocation, infrastructure and resource sharing, and intent-based netwrking.

 

Projects

Publications

Patents

  • A. Engelmann, M. Bensalem, A. Jukan, "Deflecting device and system for deflecting a radio signal", 2024 Deutsches Patent- und Markenamt, Patent ID:DE102023121964B3 [link]
  • A. Engelmann, M. Bensalem, A. Jukan, "Radio network for transmitting a radio signal using a RIS", 2025 Deutsches Patent- und Markenamt, Patent ID:DE102023121963A1 [link]

Journal Papers

  • M. Bensalem, T. Röthig,  and A.  Jukan, "A Cross-Layer Analysis of Network Antifragility with RIS-assisted Links under Jamming Attacks", accepted in IEEE Networking Letters, November 2025,  doi: 10.1109/LNET.2025.3635777  [arXiv] 
  • M. Grunewald, M. Bensalem, and A. Jukan,  "Optimizing LoRa for Edge Computing with TinyML Pipeline for Channel Hopping", Dec 2024, [arxiv] 
  • M. Bensalem and A. Jukan, "Signaling Rate and Performance of RIS Reconfiguration and Handover Management in Next Generation Mobile Networks," in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2025.3608077. [arxiv]

Conferences and Workshops

  • M. Bensalem, F. Gentzen, T. -W. Choong, Y. -C. Jhuang, A. Jukan and  J. -S. Leu, "Efficient Self-Learning and Model Versioning for AI-native O-RAN Edge", ICC 2026 - IEEE International Conference on Communications, Glasgow, Scotland, UK, 2026. [arxiv]

  • F. Gentzen, M. Bensalem and A. Jukan, "Effective ML Model Versioning in Edge Networks," 2025 International Wireless Communications and Mobile Computing (IWCMC), Abu Dhabi, United Arab Emirates, 2025, pp. 1131-1136, doi: 10.1109/IWCMC65282.2025.11059571.  [arxiv]

  • Z. Ennaceur, M. Bensalem, A. Jukan, C. Keuker, H. Wu and R. Pries, "On Efficient Topology Management in Service-Oriented 6G Networks: An Edge Video Distribution Case Study," NOMS 2025-2025 IEEE Network Operations and Management Symposium, Honolulu, HI, USA, 2025, pp. 1-5, doi: 10.1109/NOMS57970.2025.11073593. [arxiv]

  • M. Grunewald, M. Bensalem, J. Dizdarević and A. Jukan, "Towards Smart Microfarming in an Urban Computing Continuum," 2024 IEEE Latin-American Conference on Communications (LATINCOM), Medellin, Colombia, 2024, pp. 1-6, doi: 10.1109/LATINCOM62985.2024.10770673. [arxiv]

  • C. Muonagor, M. Bensalem and A. Jukan, "Performance Analysis of Learning-based Intent Drift Detection Algorithms in Next Generation Networks," 2024 IEEE Latin-American Conference on Communications (LATINCOM), Medellin, Colombia, 2024, pp. 1-6, doi: 10.1109/LATINCOM62985.2024.10770652.  [arxiv]

  • M. Bensalem and A. Jukan, "Outage Probability Analysis of Wireless Paths with Faulty Reconfigurable Intelligent Surfaces," 2024 IEEE Latin-American Conference on Communications (LATINCOM), Medellin, Colombia, 2024, pp. 1-6, doi: 10.1109/LATINCOM62985.2024.10770648.  [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, 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," ICC 2023 - IEEE International Conference on Communications, Rome, Italy, 2023, pp. 828-833, doi: 10.1109/ICC45041.2023.10279357. [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," 2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR), Paris, France, 2021, pp. 1-6, doi: 10.1109/HPSR52026.2021.9481801. [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 and A. Jukan, "DNN Placement and Inference in Edge Computing," 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), Opatija, Croatia, 2020, pp. 479-484, doi: 10.23919/MIPRO48935.2020.9245108.

  • M. Bensalem, Í. Brasileiro, A. Drummond and A. Jukan, "Embedding Jamming Attacks into Physical Layer Models in Optical Networks," 2020 International Conference on Optical Network Design and Modeling (ONDM), Barcelona, Spain, 2020, pp. 1-6, doi: 10.23919/ONDM48393.2020.9132999. [arxiv]

  • M. Bensalem, J. Dizdarevć and A. Jukan, "Modeling of Deep Neural Network (DNN) Placement and Inference in Edge Computing," 2020 IEEE International Conference on Communications Workshops (ICC Workshops), Dublin, Ireland, 2020, pp. 1-6, doi: 10.1109/ICCWorkshops49005.2020.9145449.  [arxiv]

  • M. Bensalem, S. K. Singh, A. Jukan,, "On Detecting and Preventing Jamming Attacks with Machine Learning in Optical Networks", 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, USA, 2019. DOI: 10.1109/GLOBECOM38437.2019.9013238. [arxiv]
  • Dizdarević J., Carpio F., Bensalem M., Jukan A. (2019) Enhancing Service Management Systems with Machine Learning in Fog-to-Cloud Networks. In: Mencagli G. et al. (eds) Euro-Par 2018: Parallel Processing Workshops. Euro-Par 2018. Lecture Notes in Computer Science, vol 11339. Springer, Cham. DOI: 10.1007/978-3-030-10549-5_23