Louise Trave-Massuyes

Research interests

My research centers on diagnostic reasoning, integrating both model-based and data-driven approaches, a focus I have cultivated throughout my career. To tackle the diverse challenges within the diagnosis field, I have drawn on formalisms from Artificial Intelligence and Automatic Control, actively fostering collaboration between these two communities. Short CV.

Curent roles

Directrice de Recherche, CNRS, LAAS, (Toulouse, France), member of the Diagnosis and Supervisory Control (DISCO) team

Holder of the Chair « Anomaly Detection & Diagnosis (ADDX) » in the AI-cluster ANITI, 2024-2027

Co-Program Chair of ECAI 2027, the 30th European Conference on AI, October 2-6, 2027, Athens, Greece

IPC Chair of The IFAC Symposium Safeprocess 2027, 29 June-2 July, 2027, Delft, The Netherlands

Member of the Steering Committee of DX, the International Conference on Principles of Diagnosis and Resilient Systems

Member of the Technical Committee Safeprocess of IFAC

News

Honored to have been elected Co-Program Chair of ECAI 2027, the 30th European Conference on AI, October 2-6, 2027, Athens, Greece

One paper published in Artificial Intelligence Journal : Gössler, G., Mari, T., Pencolé, Y., & Travé-Massuyés, L. (2026). Causal Explanations of Safety Property Violations in Discrete Event Systems. Artificial Intelligence, vol. 358, 104588, DOI: https://doi.org/10.1016/j.artint.2026.104588.