activity
20202026
most citedTowards Automated 3D Search Planning for Emergency Response Missions

31 citations · 492 across the 54 of their papers we have counts for

collaborators

54 papers

eess.SY2026

Leveraging UAV Autonomy for Minimum 4D Flight Authorization Volumes

Christian Vitale, Yiannis Grigoriou, Panayiotis Kolios +1

The increasing UAV traffic in urban areas has prompted the creation of U-space, an EASA framework for safe and efficient unmanned aerial vehicle (UAV) operations. Within this conte…

cs.LG2026

A Comparative Study of Deep Learning Architectures for Multi-Horizon Behavioural Forecasting for Mobile Health

Pavlos Nicolaou, Kleanthis Malialis, Artemis Kontou +1

Wearable devices and smartphones generate rich behavioural time series that can support proactive health interventions, yet systematic comparisons of modern forecasting architectur…

cs.RO2026

A Topology-Aware Spatiotemporal Handover Framework for Continuous Multi-UAV Tracking

Jianlin Ye, Christos Kyrkou, Panayiotis Kolios

The integration of Unmanned Aerial Vehicles(UAVs) into Intelligent Transportation Systems (ITS) offers synoptic visibility for traffic monitoring, yet scalable deployment is hinder…

eess.SP2026

A Novel end-to-end Digital Health System Using Deep Learning-based ECG Analysis

Artemis Kontou, Natalia Miroshnikova, Costakis Matheou +4

This study presents AI-HEART, a cloud-based information system for managing and analysing long-duration ambulatory electrocardiogram (ECG) recordings and supporting clinician decis…

cs.RO2026

Adaptive Monitoring of Stochastic Fire Front Processes via Information-seeking Predictive Control

Savvas Papaioannou, Panayiotis Kolios, Christos G. Panayiotou +1

We consider the problem of adaptively monitoring a wildfire front using a mobile agent (e.g., a drone), whose trajectory determines where sensor data is collected and thus influenc…

q-bio.PE2026

Cross-Country Learning for National Infectious Disease Forecasting Using European Data

Zacharias Komodromos, Kleanthis Malialis, Artemis Kontou +1

Accurate forecasting of infectious disease incidence is critical for public health planning and timely intervention. While most data-driven forecasting approaches rely primarily on…