Dr. Ons Aouedi

Research Associate — SnT (SIGCOM), University of Luxembourg

About

Tunisia is where I was born in 1994. I am a Research Associate at SnT (SIGCOM), University of Luxembourg. Previously, I was a postdoctoral researcher at IMT Atlantique (STACK team), France (Jan 2023–Nov 2023). I received a Master’s degree (Web Intelligence) from ESEN, University of Manouba (2018), and a Ph.D. in Computer Science from LS2N, University of Nantes (Dec 2022). My interests include Machine Learning, Deep Learning, Federated Learning, Network Traffic Analysis, and the Internet of Things (IoT).

Work and Education

  • 12/2023 – Present: Research Associate, SnT (SIGCOM), University of Luxembourg.
  • 01/2023 – 11/2023: Postdoctoral Researcher, OTPaaS Project, LS2N / Inria / IMT Atlantique, France.
    Topic: Federated Learning for Cloud–Edge–IoT infrastructures and applications.
  • 09/2019 – 12/2022: Ph.D. in Computer Science, LS2N, University of Nantes, France.
    Topic: Machine Learning–Enabled Network Traffic Analysis [manuscript]
    Supervisors: Kandaraj Piamrat and Benoît Parrein.
  • 09/2016 – 12/2018: Master of Research (Web Intelligence), ESEN, University of Manouba, Tunisia.
    Thesis: Ensemble of Deep Auto-Encoders for Healthcare Monitoring.
    Supervisors: Ajith Abraham and Mohamed Anis Bach Tobji.

Visiting Researcher

  • National Institute of Informatics (NII), Tokyo, Japan
    NII International Internship Program — Supervisor: Yusheng Ji
    Sep 2022 – Oct 2022 (2 months)

Awards & Recognition

  • Seal of Excellence — MSCA Postdoctoral Fellowships, 02/2025
  • Top 5 AI Researcher — Women in AI Benelux, 11/2024
  • Best Paper Award — IEEE International Conference on Communication, 2022, Seoul, South Korea

Selected Publications

Journals

  1. DT Ngo, O. Aouedi, K. Piamrat, T. Hassan, P. Raipin-Parvédy, "Rethinking Traffic Prediction in Mobile Network Digital Twins: A flexible inductive graph-based learning model for data-scarce scenarios," Computer Networks, Elsevier, 07/2025.
    Digital Twin Graph Learning Traffic Prediction
  2. O. Aouedi, A. Sacco, LU. Khan, DC. Nguyen, M. Guizani, "Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges," IEEE Open Journal of the Communications Society, 09/2024.
    Federated Learning Human Activity Recognition
  3. O. Aouedi, T.H. Vu, A. Sacco, DC. Nguyen, K. Piamrat, G. Marchetto, QV. Pham, "A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions," IEEE Communications Surveys & Tutorials (COMST), 06/2024. — Top Popular Article
    ⭐ Top Popular Article IoT Security Survey
  4. O. Aouedi, K. Piamrat, "Towards a Scalable and Energy-Efficient Framework for Industrial Cloud-Edge-IoT Continuum," IEEE Internet of Things Magazine, 01/2024.
    Cloud-Edge-IoT Energy Efficiency
  5. O. Aouedi, VA Le, K. Piamrat, Y. Ji, "Deep Learning on Network Traffic Prediction: Recent Advances, Analysis, and Future Directions," ACM Computing Surveys (CSUR), 2024.
    Deep Learning Network Traffic
  6. O. Aouedi, K. Piamrat, "F-BIDS: Federated-Blending based Intrusion Detection System," Elsevier Pervasive and Mobile Computing, 01/2023.
    Federated Learning Intrusion Detection
  7. O. Aouedi, K. Piamrat, B. Parrein, "Intelligent traffic management in next-generation networks," Future Internet, 01/2022.
    Traffic Management Next-Generation Networks
  8. O. Aouedi, K. Piamrat, D. Bagadthey, "Handling partially labeled network data: a semi-supervised approach using stacked sparse autoencoder," Elsevier Computer Networks, 04/2022.
    Semi-supervised Learning Autoencoder
  9. O. Aouedi, K. Piamrat, G. Muller, K. Singh, "Federated Semi-Supervised Learning for Attack Detection in Industrial Internet of Things," IEEE Transactions on Industrial Informatics, 06/2022.
    Federated Learning Industrial IoT Attack Detection
  10. O. Aouedi, A. Sacco, K. Pimarat, G. Marchetto, "Handling Privacy-Sensitive Medical Data with Federated Learning: Challenges and Future Directions," IEEE Journal of Biomedical and Health Informatics, 06/2022.
    Federated Learning Medical Data Privacy
  11. O. Aouedi, K. Pimarat, B. Parrein, "Ensemble-based Deep Learning model for network traffic classification," IEEE Transactions on Network and Service Management (TNSM), 07/2022.
    Deep Learning Traffic Classification Ensemble
  12. P.K.R Maddikunta, QV. Pham, DC. Nguyen, T.H. The, O. Aouedi, G. Yenduri, S. Bhattacharya, T.R. Gadekallu, "Incentive techniques for the Internet of Things: A survey," Journal of Network and Computer Applications, 10/2022.
    IoT Incentive Techniques Survey
  13. S. Agrawal, S. Sarkar, O. Aouedi, G. Yenduri, K. Piamrat, S. Bhattacharya, P.K.R Maddikunta, T. R. Gadekallu, "Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions," Elsevier Computer Communications, 11/2022. — Top Cited Article
    📖 Top Cited Article Federated Learning Intrusion Detection Survey

Conferences

  1. H. Jmal, K. Piamrat, O. Aouedi, "FLAIR: Federated Learning with Adaptive and Intelligent Reasoning for Client Selection," 27th International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM), Barcelona, Spain, 10/2025.
    Federated Learning Client Selection MSWIM
  2. S. Comella, D. Milazzo, S. Cipolla, O. Aouedi, S. Bonura, "New Edge-to-Cloud Orchestrator for Intelligent Task Allocation and Efficiency Optimisation," IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), Valencia, Spain, 06/2025.
    Edge Computing Task Allocation ICE/ITMC
  3. O. Aouedi, A. Boissel, Kandaraj Piamrat, "GAIA-FL: Generative AI-Augmented Federated Learning for Intrusion Detection System," The 21st International Wireless Communications & Mobile Computing Conference (IWCMC), Abu Dhabi, United Arab Emirates, 05/2025.
    Generative AI Federated Learning Intrusion Detection
  4. O. Aouedi, F. Ortiz, E. Lagunas, T. X. Vu, S. Chatzinotas, "Hybrid Model-Aided Learning for 5G-NTN Handover in High-Mobility Platforms," IEEE International Conference on Computer Communications (INFOCOM) workshop (AITNTN), London, United Kingdom, 05/2025.
    5G-NTN Handover High-Mobility
  5. H. Jmal, K. Piamrat, O. Aouedi, "TUNE-FL: adapTive semi-synchronOus semideceNtralizEd Federated Learning," IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, NV, USA, 01/2025.
    Federated Learning Semi-synchronous IEEE CCNC
  6. O. Aouedi, J. Gautam, K. Piamrat, "Semi-supervised Federated Active Learning for intrusion detection systems," IEEE Symposium on Computers and Communications (ISCC), Paris, France, 06/2024.
    Federated Learning Active Learning Intrusion Detection
  7. DT. Ngo, K. Piamrat, O. Aouedi, T. Hassan, P. Raipin-Parvédy, "FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning," IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Valencia, Spain, 09/2024.
    Graph Learning Traffic Forecasting IEEE PIMRC
  8. O. Aouedi, K. Piamrat, "SURFS: Sustainable intrusion detection with hierarchical Federated Spiking neural networks," IEEE International Conference on Communications (ICC), Denver, CO, USA, 06/2024.
    Spiking Neural Networks Intrusion Detection IEEE ICC
  9. O. Aouedi, K. Piamrat, M. Südholt, "HFedSNN: Efficient Hierarchical Federated Learning using Spiking Neural Networks," ACM International Symposium on Mobility Management and Wireless Access (MobiWac), Montreal, Canada, 10/2023.
    Spiking Neural Networks Hierarchical FL ACM MobiWac
  10. O. Aouedi, K. Piamrat, B. Parrein, "Decision tree-based blending method using deep-learning for network management," IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest, Hungary, 04/2022.
    Decision Tree Deep Learning Network Management
  11. O. Aouedi, K. Pimarat, G Muller, K. Singh, "Intrusion detection for Softwarized Networks with Semi-supervised Federated Learning," IEEE International Conference on Communications (ICC), Seoul, South Korea, 05/2022 — Best Paper Award. [video]
    🏆 Best Paper Award IEEE ICC Federated Learning
  12. O. Aouedi, K. Pimarat, G. Muller, K. Singh, "FLUIDS: Federated Learning with semi-sUpervised approach for Intrusion Detection System," IEEE Consumer Communications & Networking Conference (CCNC), Los Angeles, USA, 01/2022. [video]
    Federated Learning Intrusion Detection IEEE CCNC
  13. O. Aouedi, K. Piamrat, B. Parrein, "Performance evaluation of feature selection and tree-based algorithms for traffic classification," IEEE International Conference on Communication (ICC) workshop on Data Driven Intelligence for Networks and Systems (DDISN), Montreal, Canada, 06/2021. [video]
    Feature Selection Traffic Classification ICC Workshop
  14. O. Aouedi, K. Pimarat, D. Bagadthey, "A Semi-supervised Stacked Autoencoder Approach for Network Traffic Classification," IEEE International Conference on Network Protocols (ICNP) workshop HDR-Nets-2020, Madrid, Spain, 10/2020. [video]
    Semi-supervised Learning Autoencoder ICNP Workshop
  15. O. Aouedi, M.A. Bach Tobji, A. Abraham, "An Ensemble of Deep Auto-encoders for Healthcare Monitoring," International Conference on Hybrid Intelligent Systems (HIS 2018), Porto, Portugal, 11/2018.
    Healthcare Deep Learning Autoencoder

Book Chapter

  1. Oluwafemi A. Sarumi, Ons Aouedi, Lawan J. Muhammad, "Potential of Deep Learning Algorithms in Mitigating The Spread of COVID-19," Chapter 10 in "Understanding COVID-19: The Role of Computational Intelligence," Springer, 2021.
    COVID-19 Deep Learning Springer

Professional Services

Teaching

  • Algorithmique et Programmation: 2020–2021.

Co-supervision

Ph.D. Students

  • 08/2025-2028: Nguyen Van Thieu, Ph.D. student at SnT, University of Luxembourg
    Project: Federated Unlearning for Industrial Internet of Things (IIoT)
  • 01/2024-Today: Houssem Jmal, Ph.D. student at Nantes University
    Project: Federated Learning for Enhancing Security and Privacy of Decentralised and Distributed Systems
  • 01/2023-Today: Duc-Thinh Ngo, Ph.D. student at IMT Atlantique and Orange Innovation France
    Project: Empowering Digital Twin for Future Networks with Graph Neural Networks

Master/Bachelor Students

  • 06/2024-08/2024: Alexandre Boissel, Bachelor student at Nantes University, France
    Project: Federated Learning with Non-IID data
    Results: 1 conference paper
  • 06/2023-11/2023: Gautam Jajoo, Bachelor student at BITS Pilani, India
    Project: Active Federated Learning for intrusion detection systems
    Results: 1 conference paper
  • 2020-2021: Dhruvjyoti Bagadthey, Master student at IIT Madras, Chennai, India
    Project: Semi-supervised Learning for network traffic classification
    Results: Two publications, journal and workshop papers

Program Committees

  • Biomedical and Health Informatics (BHI), 2022.
  • ICC Workshop on Data Driven Intelligence for Networks and Systems (DDINS), 2022.
  • AlgoTel & CoRes, 2021.
  • ISDA, 2020.

Technical Reviewer

  • ACM Computing Surveys
  • IEEE Transactions on Green Communications and Networking
  • IEEE Intelligent Systems
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Network
  • IEEE Internet of Things Magazine
  • Elsevier FGCS
  • Elsevier Internet of Things
  • PLOS ONE
  • PeerJ
  • Frontiers in Communications and Networks
  • International Journal of Computers and Applications
  • Journal of Control and Decision
  • IEEE/ACM IWQoS
  • IEEE ICC
  • IEEE GLOBECOM
  • IEEE ISC2
  • EAI Chinacom
Visitor Statistics