Dr. Ons AOUEDI

Tunisia is where I was born in 1994. I am a Research Associate at SnT, Interdisciplinary Centre for Security, Reliability and Trust (SIGCOM Team), in Luxembourg. Previously, I worked as a postdoctoral at IMT Atlantique, France, within the STACK Team, from January 2023 to November 2023. In 2018, I graduated from the Higher School of Digital Economy (ESEN), at the University of Manouba, Tunisia with a Master's Degree in Web Intelligence. I obtained the Ph.D. degree in computer science at LS2N, University of Nantes, France in December 2022. My research interests focus on Machine Learning, Deep Learning, Federated Learning, Network Traffic Analysis, and Internet of Things (IoT).
Email: ons.aouedi@{uni.lu, esen.tn}; aouedions9@gmail.com
Websites: Research Gate , Google Scholar , Linkedin

Selected Publications:

• Journals
1. Ons Aouedi, Alessio Sacco, Latif U Khan, Dinh C Nguyen, Mohsen Guizani, "Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges" IEEE Open Journal of the Communications Society, 2024, Accepted.
2. Ons Aouedi, Van An Le, Kandaraj Piamrat, Yusheng Ji, "Deep Learning on Network Traffic Prediction: Recent Advances, Analysis, and Future Directions" ACM Computing Surveys, 2024, Accepted.
3. Ons Aouedi, Thai-Hoc Vu, Alessio Sacco, Dinh C Nguyen, Kandaraj Piamrat, Guido Marchetto, Quoc-Viet Pham, "A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions" IEEE Communications Surveys & Tutorials, 2024, Accepted.
4. Ons Aouedi, Kandaraj Piamrat, "Towards a Scalable and Energy-Efficient Framework for Industrial Cloud-Edge-IoT Continuum" IEEE Internet of Things Magazine, 2024, Accepted.
5. Duc-Thinh Ngo, Ons Aouedi, Kandaraj Piamrat, Thomas Hassan, Philippe Raipin-Parvédy, "Empowering Digital Twin for Future Networks with Graph Neural Networks: Overview, Enabling Technologies, Challenges, and Opportunities" MDPI Future Internet, 2023, Accepted.
6. Ons Aouedi, Kandaraj Piamrat, "F-BIDS: Federated-Blending based Intrusion Detection System" Pervasive and Mobile Computing, 2023, Accepted.
7. Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Dinh C Nguyen, Thien Huynh-The, Ons Aouedi , Gokul Yenduri, Sweta Bhattacharya, Thippa Reddy Gadekallu, "Incentive techniques for the internet of things: a survey", Journal of Network and Computer Applications, Elsevier 2022, Accepted.
8. Ons Aouedi, Alessio Sacco, Kandaraj Piamrat, Guido Marchetto, "Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions", IEEE Journal of Biomedical and Health Informatics, 2022, Accepted.
9. Ons Aouedi, Kandaraj Piamrat, Benoît Parrein, "Decision tree-based blending method using deep-learning for network traffic classification", IEEE Transactions on Network and Service Management (TNSM), 2022, Accepted.
10. Ons Aouedi, Kandaraj Piamrat, Guillaume Muller, Kamal Singh, "Federated Semi-Supervised Learning for Attack Detection in Industrial Internet of Things", IEEE Transactions on Industrial Informatics (TII), 2022, Accepted.
11. Ons Aouedi, Kandaraj Piamrat, Benoît Parrein, "Intelligent Traffic Management in Next-Generation Networks", MDPI Future Internet, 2022, Accepted.
12. Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi, Gokul Yenduri, Kandaraj Piamrat, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, "Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions", Computer Communications, Elsevier 2022, Accepted.
13. Ons Aouedi, Kandaraj Piamrat, Dhruvjyoti Bagadthey, "Handling partially labeled network data: a semi-supervised approach using stacked sparse autoencoder", Computer Networks, Elsevier, 2021, Accepted.
14. Ons Aouedi, Kandaraj Piamrat, Salima Hamma, J K Menuka Perera, "Network Traffic Analysis using Machine Learning: an unsupervised approach to understand and slice your network", Annals of Telecommunications, Springer 2021, Accepted.


• Conferences
1. Houssem Jmal, Kandaraj Piamrat, Ons Aouedi, "TUNE-FL: adapTive semi-synchronoUs semi-deceNtralizEd Federated Learning", IEEE Consumer Communications and Networking Conference (CCNC), 01/2025, Las Vegas, NV, USA, Accepted.
2. Duc Thinh Ngo, Kandaraj Piamrat, Ons Aouedi, Thomas Hassan, Philippe Raipin-Parvédy, "FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning", IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 09/2024, Valencia, Spain, Accepted.
3. Ons Aouedi, Gautam Jajoo, Kandaraj Piamrat, "METALS: semi-supervised Federated Active Learning for intrusion detection systems", IEEE Symposium on Computers and Communications (ISCC), 05/2024, Paris, France, Accepted.
4. Ons Aouedi, Kandaraj Piamrat, "SURFS: Sustainable intrusion detection with hierarchical Federated Spiking neural networks", ICC 2024, IEEE International Conference on Communications, 06/2024, Denver, CO, USA, Accepted.
5. Ons Aouedi, Kandaraj Piamrat, "HFedSNN: Efficient Hierarchical Federated Learning using Spiking Neural Networks ", MobiWac 2023, ACM Symposium on Mobility Management and Wireless Access, 10/2023, Montreal, Canada, Accepted.
6. Ons Aouedi, Kandaraj Piamrat, Guillaume Muller, Kamal Singh, "Intrusion detection for Softwarized Networks with Semi-supervised Federated Learning", ICC 2022, 01/2022, Seoul, South Korea, Accepted, Best Paper Award. . [Link]
7. Ons Aouedi, Kandaraj Piamrat, Benoît Parrein, "Decision tree-based blending method using deep-learning for network management", NOMS 2022, IEEE/IFIP Network Operations and Management Symposium, 04/2022, Budapest, Hungary, Accepted.
8. Ons Aouedi, Kandaraj Piamrat, Guillaume Muller, Kamal Singh, "FLUIDS: Federated Learning with semi-supervised approach for Intrusion Detection System", CCNC 2022, IEEE Consumer Communications & Networking Conference, 01/2022, Los Angeles, USA, Accepted. [Link]
9. Ons Aouedi, Kandaraj Piamrat, Benoît Parrein, "Performance evaluation of feature selection and tree-based algorithms for traffic classification", ICC workshop 2021, IEEE International Conference on Communications, 06/2021, Montreal, Canada, Accepted. [Link]
10. Ons Aouedi, Kandaraj Piamrat, Dhruvjyoti bagadthey, "A Semi-supervised Stacked Autoencoder Approach for Network Traffic Classification", ICNP workshop 2020, IEEE International Conference on Network Protocols, 10/2020, Madrid, Spain, Accepted. [Link]
11. Ons Aouedi, Mohamed Anis Bach Tobji, Ajith Abraham, "An ensemble of deep auto-encoders for healthcare monitoring", HIS 2018, International Conference on Hybrid Intelligent Systems, 12/2018, Porto, Portugal, Accepted.


• 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 the book “Understanding COVID-19: The Role of Computational Intelligence", Springer Publisher 2021

Professional Services:

• Teaching
Algorithmique et Programmation: 2020-2021
• Co-supervision
• Bachelor Students:
1. Dhruvjyoti BAGADTHEY, Indian Institute of Technology Madras, Chennai, India (2021)
2. Gautam Jajoo, BITS Pilani, India, India (2023)
• PhD Students:
1. Duc-Thinh Ngo, Orange Innovation and , IMT Atlantique, France (2023-Present)
2. Houssem Jmal, Nantes University, France (2024-Present)
3. Shubham SUMAN, SnT, Interdisciplinary Centre for Security, Reliability and Trust (SigCom Team), Luxembourg (2024-Present)

1. Biomedical and Health Informatics (BHI), 2022
2. ICC the th International Workshop on Data Driven Intelligence for Networks and Systems (DDINS), 2022
3. AlgoTel et CoRes, 2021
4. International Conference on Intelligent Systems Design and Applications (ISDA), 2020

-ACM Computing Survey
-IEEE Transactions on Green Communications and Networking
-IEEE intelligent systems
-IEEE Transactions on Neural Networks and Learning Systems
-IEEE Network Magazine
- IEEE Internet of Things Magazine
-Eselvier Future Generation Computer Systems
-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 ICC
-IEEE ISC2
-EAI Chinacom