Jérémie Guiochet is professor in computer science at University of Toulouse. His research activities take place at LAAS-CNRS. He received an Engineer degree in electronics and computer sciences at ENSEIRB, and a Ph.D. in 2003 from the INSA, Toulouse, France. He provides courses in Computer Science, Industrial Computing, Dependabilty and Risk Management. His research work is conducted in the LAAS-CNRS in the dependable computing and fault tolerance group (TSF) and relates to safety assessment, fault removal and tolerance in safety critical autonomous systems.

Risk analysis and safety argumentation for autonomous systems

We investigate which system behavior models and human-system interaction models are appropriate for early risk analysis of autonomously-adapting systems (mostly robotics system). We particularly focus on modeling languages like UML associated with risk analysis methods.
See HAZOP-UML page.

We also also investigate how uncertainties could be modeled and managed in a develomment process or an safety argumentation (safety case), integrating formal probabilistic models as Markov and Bayesian networks, or belief theory.

Other LAAS researchers :Mohamed Kaaniche, David Powell, Gilles Motet

Runtime safety monitoring for autonomous systems

What defenses can be provided as countermeasures against the threats introduced by autonomous adaptation? Our research on this theme focus on the safety of autonomous robot systems based on the use of safety monitors.
See SMOF page (Safety Monitoring Framework)

Other LAAS researchers: Hélène Waeselynck, David Powell, Marc-Olivier Killijian, Jean Arlat, Matthieu Roy

Testing autonomous systems

How to perform tests of autonomous systems, considering the infinate entry set, and that running hazardous scenarios is not possible ? We develop a method based on testing autonomous system in virtual words.
See TaF page (Testing Autobomous Systems Framework)

Other LAAS researchers: Hélène Waeselynck, Felix Ingrand, Simon Lacroix

Geo-Privacy risk analysis

Specific methods and risk criteria should be developped to analyse risks in the geoprivacy domain. We particularly focus on methods for integrating quantitative estimation (coming from provable security) to qualitative analysis.

Other LAAS researchers :Marc-Olivier Killijian

LAAS, Groupe TSF
7 av. du Colonel Roche, 31077 Toulouse cedex4
33 (0)5 61 33 62 05
guiochet @ laas.fr


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