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(last update march 2022) Carole Delenne has been a Lecturer at the University of Montpellier since 2008 and obtained the Habilitation to Direct Researches in 2014. She co-authored 25 publications in international journals and participated to 35+ international conferences. She co-supervised 4 doctoral thesis (3 in progress) and 20+ master's level internships, and was responsible for an engineer for 20 months. She is responsible of several courses (approx. 300h/year) and co-directed a teaching department at Polytech Montpellier (Water and Civil Engineering) from 2014 to 2018.
In research, her areas of interest concern hydrodynamic modelling, model sensitivity analysis and the use of geographic data for calibration and validation of hydraulic models. She lead the Cart'Eaux project (2015-2018), in which a multidisciplinary team, including an industrial partner, developed a global methodology using Machine Learning and Data Mining approaches, applied to various types of large data, to recover information in the aim of mapping urban wastewater systems for hydraulic modelling. She co-supervises a PhD on data fusion for wastewater networks mapping, another on data assimilation for the parametrisation of hydrodynamic models for large scale flood modelling and a third on the use of AI along with hydrodynamic model for flood prediction.
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论文共 77 篇作者统计合作学者相似作者
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crossref(2023)
Lecture notes in networks and systemspp.387-398, (2023)
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IOP Conference Series: Earth and Environmental Scienceno. 1 (2023): 012053-012053
LPARpp.164-180, (2023)
ENIGMA@KRpp.89-92, (2023)
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HAL (Le Centre pour la Communication Scientifique Directe) (2023)
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Communications in computer and information sciencepp.243-257, (2023)
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ENIGMA@KRpp.1-2, (2023)
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Advances in Hydroinformaticspp.53-60, (2022)
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