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).

Open for Collaboration I am actively seeking research collaborations in Federated Learning, Machine Learning, Time Series Analysis, and IoT Security. If you are interested in collaborative research or have partnership opportunities, please reach out: ons.aouedi@uni.lu

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

  • 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. O. Aouedi, F. Ortiz, T.X. Vu, A. Lefourn, F. Giese, G. Gutierrez, S. Chatzinotas, "AIS-based Hybrid Vessel Trajectory Prediction for Enhanced Maritime Navigation," IEEE Transactions on Machine Learning in Communications and Networking, 12/2025.
    Trajectory Prediction Maritime Navigation Machine Learning
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. O. Aouedi, K. Piamrat, "F-BIDS: Federated-Blending based Intrusion Detection System," Elsevier Pervasive and Mobile Computing, 01/2023.
    Federated Learning Intrusion Detection
  8. O. Aouedi, K. Piamrat, B. Parrein, "Intelligent traffic management in next-generation networks," Future Internet, 01/2022.
    Traffic Management Next-Generation Networks
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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. DT. Ngo, K. Piamrat, O. Aouedi, T. Hassan, P. Raipin-Parvédy, "Towards Scalable O-RAN Resource Management: Graph-Augmented Proximal Policy Optimization," 23rd IEEE International Symposium on Network Computing and Applications (NCA), Lisbon, Portugal, 11/2025.
    O-RAN Resource Management Graph Neural Networks
  2. T.S. Abdu, E. Lagunas, F.G. Ortiz Gomez, J. Querol, O. Aouedi, M. Oliveira Kuhfuss de Mendonça, S. Chatzinotas, "Satellite and Mobile Network Operator Cooperation Models for Efficient Handover in 6G-TN-NTN," EASN International Conference, 2025.
    6G Satellite Networks Handover
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
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