IntelliCIS - Intelligent Monitoring, Control and Security of Critical Infrastructure Systems
From 26-01-2009 to 10-05-2013
Website: http://w3.cost.esf.org/index.php?id=110&action_number=IC0806
Description
Everyday life relies heavily on the reliable operation and intelligent management of large-scale critical infrastructures, such as electric power systems, telecommunication networks, and water distribution networks. The design, monitoring, control and security of such systems are becoming increasingly more challenging as their size, complexity and interactions are steadily growing. Moreover, these critical infrastructures are susceptible to natural disasters, frequent failures, as well as malicious attacks. There is an urgent need to develop a common system-theoretic framework for modeling the behavior of critical infrastructure systems and for designing algorithms for intelligent monitoring, control and security of such systems. This COST Action (IntelliCIS) will contribute to the advancement of knowledge in the areas of computational intelligence and autonomous agents, with specific emphasis on the application of these methodologies in monitoring and controlling large-scale distributed complex systems. This will be achieved by the development of innovative techniques and algorithms for fault tolerant operation of critical infrastructures and their evaluation by theoretical analysis and simulation. The Action will be a catalyst for instigating interdisciplinary interaction and will promote collaboration between industry, academia and research organizations on the subject of security, quality, reliability, and efficiency of critical infrastructure systems.Keywords: computational intelligence and system theory, critical infrastructure systems, electric power systems, telecommunication systems, water distribution networks.
Team
- Johan Suykens, Team member
Financing
Funding: EU Funding - European Funding
Program/Grant Type: EU COST - European Cooperation in Science and Technology
Events
2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery
3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery
12/09/2024:
Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers
News
STADIUS Alumni Herman Verrelst – new CEO of Biocartis
08 June 2017
Herman Verrelst, the founder of KU Leuven spin-off Cartagenia, who has been working in Silicon Valley, US for the last few years will be returning to Belgium to follow the steps of Rudi Pauwels as CEO of the Belgian diagnostic company, Biocartis.
Supporting healthcare policymaking via machine learning – batteries included!
29 May 2017
STADIUS takes the lead in the data analytics efforts in an ambitious European Project MIDAS.
Marc Claesen gives an interview about his PhD for the magazine of the Faculty of Engineering Sciences "Geniaal"
10 February 2017
Did you know that in Belgium approximately one third of type 2 diabetes patients are unaware of their condition?
Joos Vandewalle is nieuwe voorzitter KVAB
09 October 2016
Op 5 oktober 2016 heeft de Algemene Vergadering van de Academie KVAB Joos Vandewalle verkozen tot voorzitter van de KVAB.