N. Pantelidis et al, “VERGE in VBS 2026”, In: J. Lokoč et al. MultiMedia Modeling (MMM 2026), Lecture Notes in Computer Science, vol 16415, Springer, Singapore. https:Pantelidis, N. et al. (2026). VERGE in VBS 2026. In: Lokoč, J., et al. MultiMedia Modeling. MMM 2026. Lecture Notes in Computer Science, vol 16415. Springer, Singapore. https://doi.org/10.1007/978-981-95-6963-2_24//doi.org/10.1007/978-981-95-6963-2_24

Ε. Batziou, Κ. Ioannidis, Ι. Patras, S. Vrochidis, I. Kompatsiaris, “HDD-Unet: A Unet-based architecture for low-light image enhancement.”, Image and Vision Computing and Vision Computing, December 2025. https://zenodo.org/records/18034621

I. Sasilioglou, C. Maga-Nteve, T. Mavropoulos, S. Vrochidis, “Enhancing colorectal cancer prevention in Europe: Country-level data fusion and subgroup analysis for evidence-based policy making”, in Proceedings of the 9th International Conference on Computational Biology and Bioinformatics (ICCBB 2025), Tokyo, Japan, December 21–23, 2025, pp. 1–6, doi: 10.1145/3789938.3789971.

V. Papaioannou, D. Valsamis, C. G. E. Anagnostopoulos, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, “Hydrodynamic simulation of the Pineios River during the Daniel flood using the Delft3D-FLOW model.”, Advancements in Civil Engineering & Technology, vol. 7, no. 1, December 17, 2025. http://dx.doi.org/10.31031/acet.2025.07.000653

This dataset bundle contains multi-source data used for near real-time wildfire detection and monitoring in the Attica region of Greece, as part of the EU-funded BeOpen project. It combines Earth Observation (EO) information with social media activity and fire danger indicators to support early warning, analysis, and response in an operational urban resilience context. The full dataset collection includes: - Historical Fires Dataset: Wildfire burned area scars that occurred between 2019 and 2021 in the Attica region, providing ground-truth information for validating fire detection and risk models.

J. E. Gonçalves, R. Rocco, M. Sitzoglou, N. Michail, D. Kupper, S. Grafakos, M. Djuraskovic, C. Veeckman, N. Pantelidis, A. Gkatsikos, S. Vrochidis, A. Dieguez-Seoane, A. Jover, M. Guerrero-Hidalga, A. Jelmini, T. Dommerholt, S. Amin, C. Visconti, L. Francis, “Spatial justice in participatory planning: an integrated framework andlessons from practice.”, Front. Sustain. Cities, vol. 7, November 25, 2025, doi: 10.3389/frsc.2025.1656745

S. Pasios, K. Gkountakos, K. Ioannidis, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, “Photorealistic Synthetic Crowds Simulation in Indoor environments (PSCS-I): a novel synthetic dataset for realistic simulation of crowd panic and violence behaviors.”, IEEE Access, pp. 1-1, November 2025, doi: 10.1109/ACCESS.2025.3636727

XTRUST-6G aims to establish a robust security framework for 6G ecosystems, grounded in the zero-trust security architecture and prioritizing resilience, privacy, and dependability. At its core, the project will implement dynamic access control through a context-aware, risk-based policy engine that leverages cyber-threat intelligence and behavioral insights from 6G infrastructure. The project will design proactive security tools for 5G+/6G networks, integrating real-time threat intelligence and foresight to enable early detection and response.

The overall aim of SPICE is to provide a new model of participatory co-creation in (re)shaping neighbourhoods. SPICE aspires to develop, test, and validate innovative community engagement approaches towards defining an evidence-based model to co-design, co-create, and maintain public spaces in four European neighbourhoods. By fostering transdisciplinary synergies and inclusive participation, leveraging cutting-edge digital tools, and promoting circular and regenerative construction practices, the project will address critical societal challenges, enhance social cohesion, highlight EU values such as democratic participation, diversity in cultures and languages, and social inclusion, and support the European Green Deal's objectives and New European Bauhaus (NEB) principles.

A. Michaloglou, I. Papadimitriou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, “Physics-Informed Neural Networks in Materials Modeling and Design: A Review”, Arch. Computat. Methods Eng., November 19, 2025, doi: 10.1007/s11831-025-10448-9