Abderrafiaa KOUKAM

Full Professor

Phone: +33 (0) 384 583 081

Fax: +33 (0) 384 583 342

Email: abder.koukam[at]utbm.fr

FOAF: Koukam_abderrafiaa

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Short Bio

Pr. Dr. Abderrafiâa Koukam is a professor at the "Université de Technologie de Belfort-Montbéliard" (UTBM). He obtained his doctorate at the "Université de Nancy 1" and his Research Direction Habilitation at the "Université de Bourgogne". He is currently Director of the "Laboratoire Systèmes et Transports". His research focuses on multi-agent systems: modeling, simulation, verification. He assumed the coordination of two European projects (TRASCOM 2002-2004, SURE 2003-2005) and one FUI project (CRISTAL), and several contracts with industry in the following areas: transportation planning, mobile networks, traffic flow simulation in industrial sites, and intelligent vehicle.


Publications

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2012


2011

  • Qualifying Building Information Models with Multi-Agent System
    Florian BEHE, Christophe NICOLLE, Stéphane GALLAND, and Abderrafiaa KOUKAM.
    In Proc. of the 3rd International Workshop on Multi-Agent Systems Technology and Semantics (MASTS 2011), John Jules MEYER, Amal El Fallah SEGHROUCHNI, Adina Magda FLOREA (eds.), pp. 309-314, AI-MAS Laboratory, Department of Computer Science, University Politehnica of Bucharest, ERRIC FP7 project, Delft, The Netherlands, Springer, 2011.
    ISBN: 978-3-642-24012-6.
    ISSN: 1860-949X.
  • Holonic Multi-Agent Systems
    Sebastian RODRIGUEZ, Vincent HILAIRE, Nicolas GAUD, Stéphane GALLAND, and Abderrafiaa KOUKAM.
    Chapter in Self-organizing Software: From Natural to Artificial Adaptation, (first edition), Self-Organising Software From Natural to Artificial Adaptation - Natural Computing Series series, chapter 11, pp. 238-263, Springer, 2011.
    ISBN: 978-3642173479.
  • Immune Systems
    Vincent HILAIRE, Abderrafiaa KOUKAM, and Sebastian RODRIGUEZ.
    Chapter in Self-organizing Software: From Natural to Artificial Adaptation, (1 edition), Natural Computing Series series, chapter 10, pp. 216-236, Springer, 2011.
    ISBN: 978-3642173479.


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