A5086838452- Network Security and Intrusion Detection
- Digital Transformation in Industry
- Anomaly Detection Techniques and Applications
- Genetics, Bioinformatics, and Biomedical Research
- Scientific Computing and Data Management
- Ethics and Social Impacts of AI
- Recycling and Waste Management Techniques
- Flexible and Reconfigurable Manufacturing Systems
- Blockchain Technology Applications and Security
- Sustainable Industrial Ecology
- Advanced Malware Detection Techniques
- SARS-CoV-2 and COVID-19 Research
- Manufacturing Process and Optimization
- Information and Cyber Security
- Explainable Artificial Intelligence (XAI)
- Cell Image Analysis Techniques
- Sustainable Supply Chain Management
INTRASOFT International (Luxembourg)
2022-2024
Trilateral Research & Consulting
2022
INTRASOFT International (Greece)
2021
Athens Information Technology
2019
Aiming at addressing the uncertainty and socio-economic dimensions inherent in wildfire management, to minimize impact of wildfires through timely informed decision-making, our research introduces an architectural framework for a software platform Detection Emerging Fire-related Situations Response Process Management.The event-driven architecture processes real-time, heterogeneous data from sources like satellite fire detection, meteorological stations, environmental sensors, AI-enhanced UAV...
In recent years there has been a growing interest in Circular Economy (CE), which promises to reduce waste and improve sustainability. The promise of CE is change the conventional "take–make–dispose" that causes massive flows based on integration demanufacturing remanufacturing processes within value chains. This requires breaking "silos" circular chain establish new collaborative sustainable networks. paper introduces novel digital platform for CE, currently under development H2020...
This paper presents the components and integrated outcome of a system that aims to achieve early detection, monitoring mitigation pandemic outbreaks. The architecture platform at providing number pandemic-response-related services, on modular basis, allows for easy customization address user’s needs per case. is achieved through its ability deploy only necessary, loosely coupled services tools each case, by common authentication, data storage exchange infrastructure. way, can provide...
In response to contemporary security challenges for Internet of Things systems, this paper introduces an architectural framework data driven monitoring and automation. The architecture supports advanced analytics detecting anomalies at all layers IoT system, based on a powerful mechanism reusable templates. Also, the provides concrete example data-driven smart objects, use deep learning algorithms their implementation over introduced framework. are successfully deployed used effective...