Picault Sébastien

Sébastien Picault is Graduate Engineer (Telecom Paris) and received a Ph.D in computer science at University Pierre and Marie Curie (Paris VI, Sorbonne Universités). He worked from 2002 to 2019 as an associate professor at University of Lille (CRIStAL lab). His research focuses on methods, algorithms and architectures for multi-agent and multi-level modelling and simulation, combining Artificial Intelligence (AI) and Software Engineering. S. Picault received his Habilitation to supervise research in 2013. S. Picault joined INRAE in 2016 as a visiting researcher in BIOEPAR, where he got a permanent position as researcher in 2019. He develops AI methods to elaborate a generic framework for the design and simulation of epidemiological models (EMULSION). He aims at enhancing reliability and reducing development time of mechanistic epidemiological models, while ensuring readability, modularity and revisability of the models to involve non-modeller scientists more tightly into model design.

Research Topics

• Epidemiological modelling
• Agent-based simulation
• Multi-level modelling
• Artificial Intelligence
• Software Engineering

Links

ORCID: 0000-0001-9029-0555

https://www.researchgate.net/profile/Sebastien_Picault

Recent publications

• Ezanno, P., Picault, S., Winter, N., Beaunée, G., Monod, H., and Guégan, J.-F. 2020. Intelligence artificielle et santé animale. INRAE Productions Animales 33(2):95-108 [IF19=0.741] DOI: https://productions-animales.org/article/view/3572.

• Cecilia H., Arnoux S., Picault S., Dicko A., Seck M. T., Sall B., Bassene M., Vreysen M., Pagabeleguem S., Bance A., Bouyer J., Ezanno P. 2019. Environmental heterogeneity drives tsetse fly population dynamics and control. Peer Community in Ecology,  :493650. DOI: 10.1101/493650.

• Picault S., Huang Y.-L., Sicard V., Arnoux S., Beaunée G., Ezanno P. 2019. EMULSION: transparent and flexible multiscale stochastic models in epidemiology. PLOS Computational Biology, 15(9): e1007342. DOI: 10.1371/journal.pcbi.1007342

• Picault S., Ezanno P., Assié A. Combining early hyperthermia detection with metaphylaxis for reducing antibiotics usage in newly received beef bulls at fattening operations: a simulation-based approach. SVEPM: Conference & Annual General Meeting, Mar 2019, Utrecht, Netherlands. pp.148-159

• Ezanno P., Beaunée G., Picault S., Arnoux S., Sicard V., Beaudeau F., Rault A., Vergu E. 2018. Gestion des maladies endémiques du troupeau aux territoires : contribution de la modélisation épidémiologique pour soutenir la prise de décision (projet MIHMES, 2012-2017). Innovations Agronomiques, 66:53-65.

• Mathieu P., Morvan G., Picault S., 2018. Multi-level agent-based simulations: Four design patterns. Simulation Modelling Practice and Theory 83, 51-64. [IF17=2.092] DOI: 10.1016/j.simpat.2017.12.015.

• Maudet A., Touya G., Duchêne C., Picault S. 2017. DIOGEN, a multi-level oriented model for cartographic generalization. International Journal of Cartography, 3(1):121-133 DOI: 10.1080/23729333.2017.1300997.

• Nongaillard A., Picault S. 2017. Modélisation multi niveau du bien-être social dans un SMA : Application aux problèmes d'affectation et d'appariement. Revue d'Intelligence Artificielle, 31(6):709-734.