activity
20142024
most citedSurvey on Machine Learning for Traffic-Driven Service Provisioning in Optical Networks

76 citations · 272 across the 20 of their papers we have counts for

collaborators

20 papers

cs.LG2024★ 10 cited

Edge-Assisted ML-Aided Uncertainty-Aware Vehicle Collision Avoidance at Urban Intersections

Dinesh Cyril Selvaraj, Christian Vitale, Tania Panayiotou +3

Intersection crossing represents one of the most dangerous sections of the road infrastructure and Connected Vehicles (CVs) can serve as a revolutionary solution to the problem. In…

cs.NI2024★ 2 cited

Multi-Step Traffic Prediction for Multi-Period Planning in Optical Networks

Hafsa Maryam, Tania Panayiotou, Georgios Ellinas

A multi-period planning framework is proposed that exploits multi-step ahead traffic predictions to address service overprovisioning and improve adaptability to traffic changes, wh…

eess.SY2023★ 7 cited

A Multi-task Learning Framework for Drone State Identification and Trajectory Prediction

Antreas Palamas, Nicolas Souli, Tania Panayiotou +2

The rise of unmanned aerial vehicle (UAV) operations, as well as the vulnerability of the UAVs' sensors, has led to the need for proper monitoring systems for detecting any abnorma…

cs.LG2023★ 8 cited

Machine Learning for Real-Time Anomaly Detection in Optical Networks

Sadananda Behera, Tania Panayiotou, Georgios Ellinas

This work proposes a real-time anomaly detection scheme that leverages the multi-step ahead prediction capabilities of encoder-decoder (ED) deep learning models with recurrent unit…

eess.SY2023★ 13 cited

Distributed Estimation and Control for Jamming an Aerial Target With Multiple Agents

Savvas Papaioannou, Panayiotis Kolios, Georgios Ellinas

This work proposes a distributed estimation and control approach in which a team of aerial agents equipped with radio jamming devices collaborate in order to intercept and concurre…

eess.SY2023★ 17 cited

Downing a Rogue Drone with a Team of Aerial Radio Signal Jammers

Savvas Papaioannou, Panayiotis Kolios, Georgios Ellinas

This work proposes a novel distributed control framework in which a team of pursuer agents equipped with a radio jamming device cooperate in order to track and radio-jam a rogue ta…

cs.NI2022★ 76 cited

Survey on Machine Learning for Traffic-Driven Service Provisioning in Optical Networks

Tania Panayiotou, Maria Michalopoulou, Georgios Ellinas

The unprecedented growth of the global Internet traffic, coupled with the large spatio-temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are…

cs.LG2022★ 6 cited

Modeling Soft-Failure Evolution for Triggering Timely Repair with Low QoT Margins

Sadananda Behera, Tania Panayiotou, Georgios Ellinas

In this work, the capabilities of an encoder-decoder learning framework are leveraged to predict soft-failure evolution over a long future horizon. This enables the triggering of t…

cs.RO2022★ 16 cited

SafeDrones: Real-Time Reliability Evaluation of UAVs using Executable Digital Dependable Identities

Koorosh Aslansefat, Panagiota Nikolaou, Martin Walker +9

The use of Unmanned Arial Vehicles (UAVs) offers many advantages across a variety of applications. However, safety assurance is a key barrier to widespread usage, especially given…

cs.RO2022★ 1 cited

Periodic and Event-Triggering for Joint Capacity Maximization and Safe Intersection Crossing

Christian Vitale, Panayiotis Kolios, Georgios Ellinas

Intersection crossing represents a bottleneck for transportation systems and Connected Autonomous Vehicles (CAVs) may be the groundbreaking solution to the problem. This work propo…

eess.SP2022

Adaptive Frequency Band Selection for Accurate and Fast Positioning utilizing SOPs

Nicolas Souli, Panayiotis Kolios, Georgios Ellinas

Signals of opportunity (SOPs) are a promising technique that can be used for relative positioning in areas where global navigation satellite system (GNSS) information is unreliable…

eess.SP2022★ 16 cited

An Autonomous Drone System with Jamming and Relative Positioning Capabilities

Nicolas Souli, Panayiotis Kolios, Georgios Ellinas

As the number of unauthorized operations of Unmanned Aerial Vehicles (UAVs) is rising, the implementation of a versatile counter-drone system is becoming a necessity. In this work,…

cs.AI2021★ 9 cited

Scheduling Aerial Vehicles in an Urban Air Mobility Scheme

Emmanouil S. Rigas, Panayiotis Kolios, Georgios Ellinas

Highly populated cities face several challenges, one of them being the intense traffic congestion. In recent years, the concept of Urban Air Mobility has been put forward by large…

cs.AI2020★ 7 cited

Extending the Multiple Traveling Salesman Problem for Scheduling a Fleet of Drones Performing Monitoring Missions

Emmanouil Rigas, Panayiotis Kolios, Georgios Ellinas

In this paper we schedule the travel path of a set of drones across a graph where the nodes need to be visited multiple times at pre-defined points in time. This is an extension of…

cs.NI2020★ 8 cited

Fair Resource Allocation in Optical Networks under Tidal Traffic

Tania Panayiotou, Georgios Ellinas

We propose an alpha-fair routing and spectrum allocation (RSA) framework for reconfigurable elastic optical networks under modeled tidal traffic, that is based on the maximization…

cs.NI2020★ 11 cited

Network Coding-based Routing and Spectrum Allocation in Elastic Optical Networks for Enhanced Physical Layer Security

Giannis Savva, Konstantinos Manousakis, Georgios Ellinas

In this work, an eavesdropping-aware routing and spectrum allocation approach is proposed utilizing network coding (NC) in elastic optical networks (EONs). To provide physical laye…

eess.SP2020★ 18 cited

Relative Positioning of Autonomous Systems using Signals of Opportunity

Nicolas Souli, Panayiotis Kolios, Georgios Ellinas

For reliable operation, next generation autonomous agents will need enhanced situational perception as well as precise navigation capabilities. The global navigation satellite syst…

cs.NI2019★ 16 cited

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks

Tania Panayiotou, Giannis Savva, Ioannis Tomkos +1

Dynamic network slicing has emerged as a promising and fundamental framework for meeting 5G's diverse use cases. As machine learning (ML) is expected to play a pivotal role in the…

cs.NI2018★ 30 cited

Machine Learning for QoT Estimation of Unseen Optical Network States

Tania Panayiotou, Giannis Savva, Behnam Shariati +2

We apply deep graph convolutional neural networks for Quality-of-Transmission estimation of unseen network states capturing, apart from other important impairments, the inter-core…

cs.DS2014★ 1 cited

Fast Shortest Path Routing in Transportation Networks with Time-Dependent Road Speeds

Costas K. Constantinou, Georgios Ellinas, Christos Panayiotou +1

The current paper deals with the subject of shortest path routing in transportation networks (in terms of travelling time), where the speed in several of the network's roads is a f…