Laurent Doyen,
Assistant Professor of applied mathematics, with a special focus on statistics and probability as applied to reliability, at the University of Grenoble Alpes, France. laurent.doyen@univ-grenoble-alpes.fr
The aim of this project is to develop decision-support methods for the dynamic management of assets at risk in an uncertain context and in the presence of heterogeneous sources of information. The methods developed aim to integrate all the information (sensor data, control data, expert opinion, physical knowledge) into a stochastic model, and then use this surrogate knowledge model to develop predictive decision-making methods. One of the challenges of the project, from an AI perspective, lies in the low-data context associated with risk issues, which requires incorporating engineering knowledge, ensuring explainability, and guaranteeing the soundness of decisions from a risk perspective. The project draws on a team of academics from a wide range of scientific fields, as well as established collaborations with industry, local authorities, and operational technical services. These collaborations aim to support the management of aging critical infrastructure.
ACTIVITIES
PhD: “Taking into account different levels of information and the effect of maintenance in a multidimensional degradation process with a view to optimizing the monitoring and maintenance policy,” in progress since September 2025.
M2 Internship + PhD on Fragility Analysis of Aging Assets Subject to Natural Hazards: to begin in winter/spring 2026; currently recruiting.
Postdoc: "Considering Deterioration in the Assessment of Residual Risk to Protected Infrastructures and Systems," currently recruiting.
Ph.D.: “Dialogue between micromechanics and probabilistic analyses for estimating the residual life of metallic structural elements under fatigue: application to hydraulic structures,” funded by the Medelia Industrial Chair (Fondation Grenoble INP): to begin in fall 2025.
Several internship positions will also be available during the term of the chair
EVENTS
Presentation of the chair at the MIAI days, June 19 and 20, 2025, Grenoble
SELECTED LIST OF PUBLICATIONS:
[BOUH20] Bouhjiti D. E-M., Baroth J., Dufour F., Michel-Ponnelle S., Masson B., “Stochastic Finite Element Analysis of the Serviceability of Large Concrete Structures Under Thermo-Hydro-Mechanical Loads—The Case of Nuclear Containment Buildings,” *Nuclear Engineering and Design*, Vol. 370, 110800, 2020.
[CAPD21] Capdevielle, S., Grange, S., Dufour, F., & Desprez, C. (2021). A shear warping kinematic enhancement for fiber beam elements with a damaging cross-section. Finite Elements in Analysis and Design, 195, 103559.
[CARL19] Carladous, S., Tacnet, J. M., Batton-Hubert, M., Dezert, J., & Marco, O. (2019). Managing protection in torrential mountain watersheds: A new conceptual integrated decision-aiding framework. Land Use Policy, 80, 464–479.
[CHAH21] Chahrour, N., Nasr, M., Tacnet, J. M., & Bérenguer, C. (2021). Deterioration modeling and maintenance assessment using physics-informed stochastic Petri nets: Application to torrent protection structures. Reliability Engineering & System Safety, 210, 107524.
[CHAH24a] Chahrour, N., Piton, G., Tacnet, J. M., & Bérenguer, C. (2024). A surrogate deterioration model of debris retention systems for cost-effective maintenance strategies and increased protection efficacy. Engineering Structures, 300, 117202.
[CHAH24b]Chahrour, N., Bérenguer, C., & Tacnet, J. M. (2024). Incorporating cascading effects analysis into the assessment of maintenance policies for torrent check dams against torrential floods. Reliability Engineering & System Safety, 243, 109875.
[LERO23] Leroy, M., Bérenguer, C., Doyen, L., & Gaudoin, O. (2023). Statistical inference for a Wiener-based degradation model with imperfect maintenance actions under different observation schemes. Applied Stochastic Models in Business and Industry, 39(3), 352–371.
[LERO24] Leroy, M., Bérenguer, C., Doyen, L., & Gaudoin, O. (2024). Modeling and inference for a degradation process with partial maintenance effects. Quality and Reliability Engineering International, 40(7), 3729–3750.
[ROSS23] Rossat, D., Baroth, J., Briffaut, M., Dufour, F., Monteil, A., Masson, B., & Michel-Ponnelle, S. (2023). Bayesian updating for predictions of delayed strains in large concrete structures: influence of prior distribution. European Journal of Environmental and Civil Engineering, 27(4), 1763–1795.
[SAVI21] Savin, O., Baroth, J., Badina, C., Charbonnier, S., & Bérenguer, C. (2021). Damage caused by start-stop cycles in turbine runners under high-cycle fatigue. International Journal of Fatigue, 153, 106458.
[WANG21] Wang, X., Gaudoin, O., Doyen, L., Bérenguer, C., & Xie, M. (2021). Modeling multivariate degradation processes with time-varying covariates and imperfect maintenance effects. Applied Stochastic Models in Business and Industry, 37(3), 592–611.
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