A. Dimitriadis, A. Papoutsis, D. Kavalieros, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, «EVACTI: Evaluating the Actionability of Cyber Threat Intelligence», In International Journal of Information Security 2025.

A. Papoutsis, A. Dimitriadis, I. Koritsas, D. Kavalieros, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, «RuleXploit: A Framework for Generating Suricata Rules from Exploits Using Generative AI», In 2025 IEEE International Conference on Cyber Security and Resilience (IEEE CSR 2025), Crete, Greece, 4 - 6 August 2025.

A. Papoutsis, A. Dimitriadis, D. Kavalieros, T. Tsikrika, S. Vrochidis, I.Kompatsiaris, «CTI-GEN: A Framework for Generating STIX 2.1 Compliant CTI Using Generative AI», In 2025 IEEE International Conference on Cyber Security and Resilience (IEEE CSR 2025), Crete, Greece, 4 - 6 August 2025

DTRIP4H project emerges as a research effort to advance predictive, preventive, personalized, and participatory health paradigms within the EU. Amid significant incidence of chronic conditions and cancer, there is a pressing need for a proactive shift in health strategies. Yet, the full potential of European research infrastructures (RIs) is curtailed by investment deficits, fragmentation, and the intricacies of data management. Digital Twin (DT) technology introduces a new age of precision by enabling sophisticated simulations and analyses of intricate biological processes.

Across Europe society is changing due to demographic, technological and economic developments. Communities are getting more diverse, both in real life and online. This challenges Law Enforcement Agencies (LEAs) to engage with, and to reassure, communities about safety and security matters in a trustful way. The changing status quo is significantly shaping perceptions of policing, requiring adaptive strategies. To address these challenges, the KOBAN project will create an innovative, research and practice-based Community Policing (CP) initiative, adopting an evidence-based approach.

The goal of the project is the creation of the MaaSAI System, a comprehensive digital system to automate and facilitate interactions between suppliers of manufacturing systems (Providers) and manufacturing companies (Consumers) in a Manufacturing-as-a-Service (MaaS) ecosystem, in an agile, efficient, and transparent manner. The MaaSAI System aims to revolutionise manufacturing and remanufacturing processes by facilitating access to flexible and decentralised capacities, through the MaaS business model, which extends the principles of the service-oriented economy to the manufacturing industry.

E. Valla, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris. “Wildfire Event Detection using Social Media and Earth Observation Data”, In Eleventh International Conference on Remote Sensing and Geoinformation of Environment, RSCy2025 (RSCy2025), Paphos, 17-19 March 2025 (Poster).

M. V. Kosti, S. Diplaris, N. Georgakopoulou, P. Runnel, C. Marini, N. Rovatsos, A. Barakli, E. de Lera, S. Vrochidis, and I. Kompatsiaris, “i-Game: Redefining Cultural Heritage Through Inclusive Game Design and Advanced Technologies”, Electronics, vol. 14(6), pp. 1141, March 2025.

ΜKLab participated in The Video Retrieval Competition 2024, with the VERGE system, an interactive video content retrieval system designed for browsing a collection of images extracted from videos and conducting targeted content searches. VERGE incorporates a variety of retrieval methods and fusion techniques. It also offers a user-friendly web application for query formulation and displaying top results. VBS is an international video content search competition that evaluates the state-of-the-art of interactive video retrieval systems.

ΜKLab participated in The Video Retrieval Competition 2025, with the VERGE system, an interactive video content retrieval system designed for browsing a collection of images extracted from videos and conducting targeted content searches. VERGE incorporates a variety of retrieval methods and fusion techniques. It also offers a user-friendly web application for query formulation and displaying top results. VBS is an international video content search competition that evaluates the state-of-the-art of interactive video retrieval systems.