Ons AOUEDI

Welcome to my personal website! Tunisia is where I was born in 1994. 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@{ls2n.fr, esen.tn}; aouedions9@gmail.com

Websites: Research Gate , Google Scholar , Linkedin

Selected Publications:

• Journals
1. 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.
2. 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.
3. 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.
4. 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.
5. Ons Aouedi, Kandaraj Piamrat, Benoît Parrein, "Intelligent Traffic Management in Next-Generation Networks", MDPI Future Internet, 2022, Accepted.
6. 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.
7. Ons Aouedi, Kandaraj Piamrat, Dhruvjyoti Bagadthey, "Handling partially labeled network data: a semi-supervised approach using stacked sparse autoencoder", Computer Networks, Elsevier, 2021, Accepted.
8. 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. 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]
2. 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.
3. 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]
4. 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]
5. 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]
6. 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
• Supervision
• Bachelor
1. Dhruvjyoti BAGADTHEY, Indian Institute of Technology Madras, Chennai, India

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
-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