Chrono-environnement - UMR 6249
Campus de la Bouloie
16 rue de Gray
25030 Besançon

Olivier Maillard

Doctoral Student

olivier.maillard@-Code to remove to avoid SPAM-univ-fcomte.fr
+33 (0)603277595, room -227L

Hydrogeology, Gravity movements, Landslide, Temporal prediction model, Climatic and hydrogeological factors, Machine learning

Landslides are gravity movements that can be triggered by factors such as seismic activity and climatic events (precipitation, storms, etc.). With the aim of improving landslide prevention systems over time, my thesis work aims to identify the hydrogeological and meteorological factors that are precursors to instability phases. To do this, I am building a model for predicting displacement speeds over time using machine learning models (Random Forest, XGBoost) to rank the factors most used in the prediction, initially using data from the Séchilienne landslide.

Current projects:

PhD thesis: Detection of precursors to the triggering of gravity instabilities: multi-parameter chronicles, artificial intelligence and modelling.

Article in progress: Utilizing Lumped Models and Long-Short Term Memory (LSTM) Neural Networks to Model Hydrological Systems in Unstable Fissured Slopes: A Case Study of the Séchilienne Landslide (French Alps).

Journal articles


Tiphaine Petot, Nicolas Bouscaren, Olivier Maillard, Laetitia Huiart, Malik Boukerrou, et al.. Comparing the effects of self-selected music versus predetermined music on patient anxiety prior to gynaecological surgery: a study protocol for a randomised controlled trial. Trials, 2019, 20 (1), ⟨10.1186/s13063-018-3093-6⟩. ⟨hal-02615166⟩
Accès au texte intégral et bibtex
https://amu.hal.science/hal-02615166/file/s13063-018-3093-6.pdf BibTex


Laetitia Huiart, Cyril Ferdynus, Christel Renoux, Amélie Clémence Beaugrand, Sophie Lafarge, et al.. Trends in initiation of direct oral anticoagulant therapies for atrial fibrillation in a national population-based cross-sectional study in the French health insurance databases. BMJ Open, 2018, 8 (3), pp.e018180. ⟨10.1136/bmjopen-2017-018180⟩. ⟨inserm-02093010⟩
Accès au texte intégral et bibtex
https://inserm.hal.science/inserm-02093010/file/e018180.full.pdf BibTex
Nathalie Le Moullec, Adrian Fianu, Olivier Maillard, Emilie Chazelle, Nadège Naty, et al.. Sexual dimorphism in the association between gestational diabetes mellitus and overweight in offspring at 5-7 years: The OBEGEST cohort study. PLoS ONE, 2018, 13 (4), ⟨10.1371/journal.pone.0195531⟩. ⟨hal-01762463⟩
Accès au texte intégral et bibtex
https://hal.science/hal-01762463/file/Le_Moullec_Plos_One_2018.pdf BibTex