Related Events & Projects

KES 2023 Invitated Session: Intelligent Critical Infrastructures 

ICI Special Session has been held in conjunction with the 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2023)  6-8 September 2023 in Athens.

Main topic:

Critical infrastructures (CIs) are indispensable in today's interconnected world, aimed at safeguarding communities' economic and social well-being. Infrastructure resilience is vital for adapting to changing conditions and recovering from disruptions, including accidental attacks. However, increasing digitization and connectivity also heighten vulnerabilities. Recent advancements in artificial intelligence (AI) offer tools to understand risks and enhance protection. Additionally, Digital Twins (DT) enable real-time monitoring and modeling, integrating data for effective risk assessment and decision-making in complex systems. 

Info on the Session 

ICI proceedings are available on www.sciencedirect.com/journal/procedia-computer-science/vol/225/suppl/C 

Research Projects Related and Dissemination

DARWINIST: aDversarial scenArios geneRation With dlgital twiNs In induSTry

The Darwinist project aims to streamline the creation of reliable and adaptable digital transformation (DT) technologies across various domains. DT presents a promising frontier in digital technology, offering improved services, enhanced security, and increased reliability. With the rapid advancement of AI, big data processing, cloud computing, sensor technologies, and the Internet of Everything (IoE), the development of DT has accelerated over the past two decades.

DT deployment in critical infrastructure provides benefits such as process optimization. Real-time analysis of production processes enables the identification of inefficiencies and performance enhancements, while predictive maintenance strategies help preempt equipment failures, reducing downtime.

Despite the reliability of DT environments for exploring optimal operational scenarios, there's a lack of systematic methodologies in the literature for developing scalable, reusable, interoperable, and extensible DT solutions. The Darwinist project addresses this gap by investigating and defining solutions for DT implementation in various sectors, including railways, healthcare, and aerospace. Additionally, the project adapts to emerging opportunities, as evidenced by its exploration of new domains like aerospace based on positive results from initial studies.


Dissemination: