Stéphane Galland obtains academic degrees in the Computer Science: bachelor (1996-1997) and research master (1998) at the Franche-Comté University (France). Stéphane Galland supports a PhD thesis in 2001 at the High National School of Mines of Saint-Etienne (France). He proposed a methodological approach for the design and the implementation of agent-based simulation of distributed industrial systems.
In 2002, he integrates the Computer Science department of the Belfort-Montbéliard University of Technology (France), and the Systems and Transport Laboratory, where he continues his research tasks on the topic of agent-based modeling and simulation of complex systems (cities, highway networks, crowd…) with a large scale and a multiview points of view, and applied to virtual reality environment. In 2004 and 2005, Stéphane Galland is responsible of the courses of the doctoral school SPIM for his University. From 2007 to 2008, he is responsible of the courses of the speciality “Image, Interaction and Virtual Reality” of the Computer Science department.
In 2013, Stéphane Galland obtains an accreditation to supervise Research (French “Habilitation à Diriger des Recherches”) from the Franche-Comté University (France). The title is of his dissertation is “Methodology and tools for the multiagent simulation in virtual worlds.” Stéphane Galland is one of the contributors to the ASPECS methodoloy and its CRIO metamodel, to the SARL agent-programming langage, and to the Janus agent platform.
Since 2016, Stéphane Galland is the French Head of the ARFITEC exchange programme named “Energy, Transport, Industry, Challenges for Tomorrow.” In September 2016, Stéphane Galland integrates the Electronic, Computer Science and Image Laboratory (LE2I) as one of the responsibles and contact points of the Research axis on “Intelligent Environments.”
Since January 2019, he is the deputy director of the “Connaissance and Intelligence Artificielle Distribués” (CIAD) research laboratory.

Major research interests:

• Complex systems:
  • Organization-oriented software engineering
  • Holonic systems
  • Cyber-physical systems
• Distributed Artificial Intelligence:
  • Multiagent systems
  • Agent-oriented software engineering
  • Agent-oriented programming languages
• Simulation:
  • Agent-based simulation
  • Multilevel simulation
• Applications:
  • Smart cities
  • Intelligent transport systems
  • Urban simulation
  • e-Health
  • Virtual life simulation