1 citations · 1 across the 11 of their papers we have counts for
14 papers
Trust Before Autonomy: Rethinking Agentic Remote Sensing for Crisis Response
Georgios Angelidis, Aggelos Psiris, Spyridon Evangelatos +4
Agentic remote sensing is evaluated on how many questions it can answer, whereas crisis response depends on whether its answers can be relied on and how much of the decision can sa…
SEAL-DT: An End-to-End Security Engineering and Assurance Framework for Cross-Domain Digital Twins
Iraklis Varlamis, Stelios Zindros, Christos Sardianos +3
Cyber-physical systems connect physical processes, software, networks and organizations. Securing them requires a clear account of what happened, what was observed, which actions w…
HANSARD: A Reference Architecture for Forensic Readiness, Runtime Witnessing, and Graded Attribution in Autonomous Multi-Agent AI Systems
Christos Sardianos, Iliana Pla, Vasilis Efthymiou +4
Autonomous multi-agent systems nowadays act in finance, software supply chains, and security operations. Already, the first largely AI-orchestrated intrusion campaigns have been re…
From Graphs to Gradients: Physics-Inspired Structural Attribution for Cyber-Physical IoT Systems and Beyond
Spyridon Evangelatos, Christos Diou, Georgios Th. Papadopoulos +2
Interpretable explanation methods in Artificial Intelligence aim to uncover the underlying causes and their effects, enabling a deeper understanding of why a system behaves in a ce…
Facial Affect Analysis for Service-Oriented Systems: Advances, Challenges, and Future Visions
Spyridon Georgiou, Aggelos Psiris, Thomas Lagkas +4
Facial Affect Analysis (FAA) is evolving from a stand-alone recognition task into a reusable perception capability for Service-Oriented Software Ecosystems (SoSE). This paper prese…
Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions
Spyridon Georgiou, Aggelos Psiris, Spyridon Evangelatos +5
Facial Expression Recognition (FER) has advanced rapidly over the last decade, driven by the shift from handcrafted descriptors and shallow classifiers to deep convolutional, atten…
Foundation Models in Robotics: A Comprehensive Review of Methods, Models, Datasets, Challenges and Future Research Directions
Aggelos Psiris, Vasileios Argyriou, Evangelos K. Markakis +5
Over the recent years, the field of robotics has been undergoing a transformative paradigm shift from fixed, single-task, domain-specific solutions towards adaptive, multi-function…
Open-Vocabulary vs Supervised Learning Methods for Post-Disaster Visual Scene Understanding
Anna Michailidou, Georgios Angelidis, Vasileios Argyriou +2
Aerial imagery is critical for large-scale post-disaster damage assessment. Automated interpretation remains challenging due to clutter, visual variability, and strong cross-event…
FR-GESTURE: An RGBD Dataset For Gesture-based Human-Robot Interaction In First Responder Operations
Konstantinos Foteinos, Georgios Angelidis, Aggelos Psiris +3
The ever increasing intensity and number of disasters make even more difficult the work of First Responders (FRs). Artificial intelligence and robotics solutions could facilitate t…
Interactive Augmented Reality-enabled Outdoor Scene Visualization For Enhanced Real-time Disaster Response
Dimitrios Apostolakis, Georgios Angelidis, Vasileios Argyriou +2
A user-centered AR interface for disaster response is presented in this work that uses 3D Gaussian Splatting (3DGS) to visualize detailed scene reconstructions, while maintaining s…
Enhancing Manufacturing Training Through VR Simulations
Vladislav Li, Ilias Siniosoglou, Panagiotis Sarigiannidis +1
In contemporary training for industrial manufacturing, reconciling theoretical knowledge with practical experience continues to be a significant difficulty. As companies transition…
X-ray illicit object detection using hybrid CNN-transformer neural network architectures
Jorgen Cani, Christos Diou, Spyridon Evangelatos +5
In the field of X-ray security applications, even the smallest details can significantly impact outcomes. Objects that are heavily occluded or intentionally concealed pose a great…
Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond
Spyridon Evangelatos, Eleni Veroni, Vasilis Efthymiou +3
Counterfactual explanations have emerged as a prominent method in Explainable Artificial Intelligence (XAI), providing intuitive and actionable insights into Machine Learning model…
Public space security management using digital twin technologies
Stylianos Zindros, Christos Chronis, Panagiotis Radoglou-Grammatikis +4
As the security of public spaces remains a critical issue in today's world, Digital Twin technologies have emerged in recent years as a promising solution for detecting and predict…