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. Since Sept. 2019, I am a Ph.D. Student at LS2N, University of Nantes, France. My research interests focus on Machine Learning, Deep Learning, Federated Learning, Network Traffic Management, 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. Ons Aouedi, Kandaraj Piamrat, Dhruvjyoti Bagadthey, "Handling partially labeled network data: a semi-supervised approach using stacked sparse autoencoder", Computer Networks, Elsevier, 12/2021, Accepted.
2. 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", under revision, Computer Communications, Elsevier
3. 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 09/2021, Accepted.


• Conferences
1. 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.
2. 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]
3. 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]
4. 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]
5. 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
• Engineer
1. Martial Jarry and Thibaut Perrouin, Polytech Nantes

1. AlgoTel et CoRes, 2021
2. International Conference on Intelligent Systems Design and Applications (ISDA), 2020

-ACM Computing Survey
-IEEE Transactions on Green Communications and Networking
-Eselvier Future Generation Computer Systems
-PLOS ONE
-PeerJ
-Frontiers in communications and networks
-International Journal of Computers and Applications
-Journal of Control and Decision
-Elsevier Internet of Things
-IEEE/ACM IWQoS
-IEEE ICC
-IEEE ISC2
-EAI Chinacom