CICIS 2013

1st Workshop on Computational Intelligence for Critical Infrastructure Systems

Summary

According to the European Commission (2008/114/EC), Critical Infrastructures are those assets and systems in a country that are essential for certain vital societal functions, such as health, safety, security, economic or social well-being of the people, and the disruption or destruction of which could have significant impact on the country due to the failure to maintain those functions. In some cases, a disruption of some critical infrastructure could affect more than one country. In general, the following sectors are usually considered as part of the Critical Infrastructures: 1) energy and networks, 2) communications and information technology, 3) finance, 4) healthcare, 5) food, 6) water, 7) transport, 8) production, storage and transport of dangerous goods, 9) government.

The key challenges in Critical Infrastructures is a) the efficient operation, which relates to improving the system performance, and b) their security, which relates to monitoring the system for early event (or attack) detection and taking the appropriate actions to mitigate the issue. Critical Infrastructures are usually extremely complex large-scale systems with interoperabilities with other critical infrastructures, with large quantities of data for some states and no information for some other states. For both challenges, efficient operation and security, new technologies and algorithms need to be developed, for analyzing large quantities of data, which are available within the Critical Infrastructure, estimating what is not known, and make sense out of the uncertainties, noise and sensor faults.

In recent years, Computational and Artificial Intelligence tools are frequently used to address the most challenging problems in the Critical Infrastructure field, such as in forecasting, optimization, control, fault event diagnosis and accommodation. Various methodologies have been utilized for solving these problems, such as Neural Networks, Fuzzy Systems, Evolutionary Computation, Swarm Optimization, Expert Systems, Machine Learning, Data Mining, Semantics, and Artificial Immune Systems.

The Workshop aims to provide a forum for researchers in Critical Infrastructures operation and security to review current trends and to discuss how Computational and Artificial Intelligence can be applied to solve the most challenging problems in the field.

Topics of interest

The workshop topics include but are not limited to Computational and Artificial intelligence applications in critical infrastructures and relevant systems:

  • Environmental monitoring systems
  • Wireless/Mobile System optimization and location-based services
  • Telecommunications security and reliability
  • Data protection and management of wearable networks and social networks
  • Data Management Systems Security and Management
  • Optimization, management and security of water and irrigation systems
  • Power Systems generation, state estimation and forecasting
  • Safety and security of oil and gas facilities and pipelines
  • Intelligent transportation systems
  • SCADA systems and cybersecurity threats
  • Building management systems for energy efficiency and safety

Workshop Chairs

Prof. Christos Panayiotou, KIOS/University of Cyprus, Cyprus christosp@ucy.ac.cy
Antonis Hadjiantonis , KIOS/University of Cyprus, Cyprus antonish@ucy.ac.cy
Demetrios Eliades, KIOS/University of Cyprus, Cyprus eldemet@ucy.ac.cy
Andreas Constantinides, University of Cyprus and Frederick University, Cyprus com.ca@frederick.ac.cy

Academic Program Committee

Avi Ostfeld, Technion, Israel Institute of Technology, Israel
Andreas Symeonides, Aristotle University of Thessaloniki, Greece
Dragan Savic, University of Exeter, UK
Efthyvoulos Kyriacou, Frederick University, Cyprus
Elias Kyriakides, University of Cyprus, Cyprus
George Ellinas, University of Cyprus, Cyprus
Huanhuan Chen, University of Birmingham, UK
Irina Ciornei, University of Cyprus, Cyprus
Manuel Roveri, Politecnico di Milano, Italy
Marios Polycarpou, University of Cyprus, Cyprus
Michalis Michaelides, University of Cyprus, Cyprus
Vassilis Vassiliades, University of Cyprus, Cyprus
Vasso Reppa, University of Cyprus, Cyprus
Vicenç Puig, Politècnica de Catalunya, Spain
Zoran Kapelan, University of Exeter, UK

Submission

Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. All aspects of the submission and notification process will be handled online via the EasyChair Conference System at:

https://www.easychair.org/conferences/?conf=aiai2013

Please make sure you select the workshop track in the first step of the submission process.

Important Dates

Paper submission:
May 10, 2013 Extended: May 15, 2013

Author notifications:
May 30, 2013 Extended: June 7, 2013

Camera-ready submission:
June 7, 2013 Extended: June 21, 2013

Early registration:
June 7, 2013 Extended: June 14, 2013

Publication

Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event (by Springer). They will also be considered for potential publication in the Special Issues of the Conference.

Registration fees and benefits for the workshops’ participants are exactly identical with the ones of the main AIAI 2013 event.

This workshop is technically co-sponsored by the Cyprus Chapter of the IEEE Computational Intelligence Society.