Publications

Please find my full publication list at my Google Scholar profile.

Selected Publications:

• Ioannis Panitsas*, Yagmur Yigit*, Leandros Tassiulas, Leandros Maglaras, Berk Canberk, “JamShield: A Machine Learning Detection System for Over-the-Air Jamming Attacks,” IEEE International Conference on Communications (ICC), 2025. pdf

• Ioannis Panitsas, Akrit Mudvari, Leandros Tassiulas, “D2Q Synchronizer: Distributed SDN Synchronization for Time Sensitive Applications,” IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), 2025. pdf

• Yagmur Yigit, Ioannis Panitsas, Leandros Maglaras, Leandros Tassiulas, Berk Canberk, “Cyber-Twin: Digital Twin-boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks,” IEEE International Conference on Communications (ICC), 2024. pdf

Preprints:

• I. Panitsas, T. Atalay, D. Stojadinovic, A. Stavrou, and L. Tassiulas.
  “5GC-Bench: A Framework for Stress-Testing and Benchmarking 5G Core VNFs.”
  Preprint, available soon.

• I. Panitsas, T. Atalay, D. Stojadinovic, A. Stavrou, and L. Tassiulas.
  “SlicePilot: Demystifying Network Slice Placement in Heterogeneous Cloud Infrastructures.”
  Preprint, available soon.

• I. Panitsas, I. Ofeidis, and L. Tassiulas.
  “FedJam: Multi-Modal Federated Learning Framework for Jamming Detection.”
  Preprint, available soon.

• I. Panitsas, A. Mudvari, A. Maatouk, and L. Tassiulas.
  “A Deep and Transfer Learning Approach for Handover Management in O-RAN.”
  Preprint, available soon.

• A. Feng, A. Varvarigos, I. Panitsas, D. Fernandez, J. Wei, J. Chen, A. Maatouk, L. Tassiulas, and R. Ying.
  “TelecomTS: A Multi-Modal Dataset for Time-Series and Language Analysis in Applied Engineering.”
  Preprint, available soon.

*equal contribution