Hybrid graph-based traffic grooming for multicast connections in mesh optical networks. - Tania Panayiotou; Georgios Ellinas; Neophytos Antoniades (ICCS, 2012)

p-Cycle-based protection of multicast connections in metropolitan area optical networks with quality-of-transmission considerations. - Tania Panayiotou; Georgios Ellinas; Neo Antoniades (ICUMT, 2012)

Segment-Based Protection of Multicast Connections in Metropolitan Area Optical Networks With Quality-of-Transmission Considerations. - Tania Panayiotou; Georgios Ellinas; Neo Antoniades (JOCN, 2012)

Hybrid Multicast Traffic Grooming in Transparent Optical Networks with Physical Layer Impairments. - Tania Panayiotou; Georgios Ellinas; Neophytos Antoniades (ICCCN, 2013)

Protection algorithms for groupcast sessions in transparent optical networks with mesh topologies. - Tania Panayiotou; Georgios Ellinas; Neo Antoniades (ONDM, 2013)

Q-based provisioning for multicast connections in translucent metropolitan area networks. - Tania Panayiotou; Georgios Ellinas; Neo Antoniades (ONDM, 2014)

Impairment-aware multicast session provisioning in metro optical networks. - Tania Panayiotou; Georgios Ellinas; Neo Antoniades; Antonis Hadjiantonis (Comput. Networks, 2015)

A data-driven QoT decision approach for multicast connections in metro optical networks. - Tania Panayiotou; Georgios Ellinas; Sotirios P. Chatzis (ONDM, 2016)

p-Cycle-based protection of multicast connections in metropolitan area optical networks with physical layer impairments constraints. - Tania Panayiotou; Georgios Ellinas; Neo Antoniades (Opt. Switch. Netw., 2016)

Hybrid graph-based multicast traffic grooming in metro networks with quality-of-transmission considerations. - Tania Panayiotou; Georgios Ellinas; Neophytos Antoniades (Photonic Netw. Commun., 2016)

A probabilistic approach for failure localization. - Tania Panayiotou; Sotirios P. Chatzis; Georgios Ellinas (ONDM, 2017)

Performance Analysis of a Data-Driven Quality-of-Transmission Decision Approach on a Dynamic Multicast-Capable Metro Optical Network. - Tania Panayiotou; Sotirios P. Chatzis; Georgios Ellinas (JOCN, 2017)

Charging Policies for PREYs used for Service Delivery: A Reinforcement Learning Approach. - Tania Panayiotou; Sotirios P. Chatzis; Christos G. Panayiotou; Georgios Ellinas (ITSC, 2018)

On learning bandwidth allocation models for time-varying traffic in flexible optical networks. - Tania Panayiotou; Konstantinos Manousakis; Sotirios P. Chatzis; Georgios Ellinas (ONDM, 2018)

Data-Driven Bandwidth Allocation in EONs. - Tania Panayiotou; Georgios Ellinas (PSC, 2018)

Leveraging Statistical Machine Learning to Address Failure Localization in Optical Networks. - Tania Panayiotou; Sotirios P. Chatzis; Georgios Ellinas (JOCN, 2018)

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks. - Tania Panayiotou; Giannis Savva; Ioannis Tomkos; Georgios Ellinas (GLOBECOM, 2019)

Machine Learning for QoT Estimation of Unseen Optical Network States. - Tania Panayiotou; Giannis Savva; Mohammad Behnam Shariati; Ioannis Tomkos; Georgios Ellinas (OFC, 2019)

Attack-aware Lightpath Provisioning in Elastic Optical Networks with Traffic Demand Variations. - Konstantinos Manousakis; Tania Panayiotou; Panayiotis Kolios; Ioannis Tomkos; Georgios Ellinas (RNDM, 2019)

Fair Resource Allocation in Optical Networks under Tidal Traffic. - Tania Panayiotou; Georgios Ellinas (GLOBECOM, 2020)

Decentralizing machine-learning-based QoT estimation for sliceable optical networks. - Tania Panayiotou; Giannis Savva; Ioannis Tomkos; Georgios Ellinas (JOCN, 2020)

A Reward-Based Fair Resource Allocation in EONs Considering Traffic Demand Behavior. - Tania Panayiotou; Georgios Ellinas (ICCCN, 2021)

Deep Quantile Regression for QoT Inference and Confident Decision Making. - Tania Panayiotou; Hafsa Maryam; Georgios Ellinas (ISCC, 2021)

On the Fair-Efficient Charging Scheduling of Electric Vehicles in Parking Structures. - Tania Panayiotou; Michalis Mavrovouniotis; Georgios Ellinas (ITSC, 2021)

Edge Learning of Vehicular Trajectories at Regulated Intersections. - Dinesh Cyril Selvaraj; Christian Vitale; Tania Panayiotou; Panayiotis Kolios; Carla-Fabiana Chiasserini; Georgios Ellinas (VTC Fall, 2021)

Optimal and near-optimal alpha-fair resource allocation algorithms based on traffic demand predictions for optical network planning. - Tania Panayiotou; Georgios Ellinas (JOCN, 2021)

Optimization algorithms for the proactive configuration of elastic optical networks under jamming attacks and demand uncertainty. - Konstantinos Manousakis; Tania Panayiotou; Panayiotis Kolios; Ioannis Tomkos; Georgios Ellinas (Opt. Switch. Netw., 2021)

Modeling Soft-Failure Evolution for Triggering Timely Repair with Low QoT Margins. - Sadananda Behera; Tania Panayiotou; Georgios Ellinas (GLOBECOM, 2022)

Representing Uncertainty in Deep QoT Models. - Hafsa Maryam; Tania Panayiotou; Georgios Ellinas (MedComNet, 2022)

Addressing Traffic Prediction Uncertainty in Multi-Period Planning Optical Networks. - Tania Panayiotou; Georgios Ellinas (OFC, 2022)

Learning quantile QoT models to address uncertainty over unseen lightpaths. - Hafsa Maryam; Tania Panayiotou; Georgios Ellinas (Comput. Networks, 2022)

Machine learning framework for timely soft-failure detection and localization in elastic optical networks. - Sadananda Behera; Tania Panayiotou; Georgios Ellinas (JOCN, 2022)

"RNDM 2019 selected papers" special issue. - Georgios Ellinas; Tania Panayiotou (Opt. Switch. Netw., 2022)

A Multi-Task Learning Framework for Drone State Identification and Trajectory Prediction. - Antreas Palamas; Nicolas Souli; Tania Panayiotou; Panayiotis Kolios; Georgios Ellinas (DCOSS-IoT, 2023)

Machine Learning for Real-Time Anomaly Detection in Optical Networks. - Sadananda Behera; Tania Panayiotou; Georgios Ellinas (ICTON, 2023)

Uncertainty quantification and consideration in ML-aided traffic-driven service provisioning. - Hafsa Maryam; Tania Panayiotou; Georgios Ellinas (Comput. Commun., 2023)

Survey on Machine Learning for Traffic-Driven Service Provisioning in Optical Networks. - Tania Panayiotou; Maria Michalopoulou; Georgios Ellinas (IEEE Commun. Surv. Tutorials, 2023)

A Multi-task Transformer Architecture for Drone State Identification and Trajectory Prediction. - Nicolas Souli; Antreas Palamas; Tania Panayiotou; Panayiotis Kolios; Georgios Ellinas (DCOSS-IoT, 2024)

Multi-Step Traffic Prediction for Multi-Period Planning in Optical Networks. - Hafsa Maryam; Tania Panayiotou; Georgios Ellinas (ICTON, 2024)

Adaptive Autopilot: Constrained Drl for Diverse Driving Behaviors. - Dinesh Cyril Selvaraj; Christian Vitale; Tania Panayiotou; Panayiotis Kolios; Carla-Fabiana Chiasserini; Georgios Ellinas (ITSC, 2024)

Federated Learning for Network Traffic Prediction. - Sadananda Behera; Saroj Kumar Panda; Tania Panayiotou; Georgios Ellinas (IFIP Networking, 2024)

Fair-enough Charging of Electric Vehicles. - Tania Panayiotou; Georgios Ellinas (VTC Spring, 2024)

Edge-Assisted ML-Aided Uncertainty-Aware Vehicle Collision Avoidance at Urban Intersections. - Dinesh Cyril Selvaraj; Christian Vitale; Tania Panayiotou; Panayiotis Kolios; Carla-Fabiana Chiasserini; Georgios Ellinas (CoRR, 2024)

Balancing Efficiency and Fairness in Resource Allocation for Optical Networks. - Tania Panayiotou; Georgios Ellinas (IEEE Trans. Netw. Serv. Manag., 2024)

A Fair Federated Learning Framework for Collaborative Network Traffic Prediction and Resource Allocation. - Saroj Kumar Panda; Tania Panayiotou; Georgios Ellinas; Sadananda Behera (CoRR, 2025)