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Celine Casenave

Celine Casenave


Agreenskills
session, year:
2013 2nd

Status:
Former fellow

Receiving laboratory:
Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences

Country of origin:

France

Country of destination:

China

Last available contact

Email(s):
celine.casenave@gmail.com
celine.casenave@inra.fr
Website(s):
http://www6.montpellier.inra.fr/...
http://www.celinecasenave.fr

CV:
Download Curriculum Vitae

Mobility project

Modelling and simulation of the toxic blooms dynamics of cyanobacterial population of the Lake Taihu

Due to the fast industrialization and urbanization of China, the quality of the water of the Lake Taihu (a large shallow lake of China) is decreasing tragically, leading to serious eutrophication problems. In particular, toxic cyanobacterial blooms occur more and more often. The objective of my project is the modeling and the simulation of the population dynamics of cyanobacteria in the lake. I will develop a model describing the lake ecosystem and couple it with a hydrodynamic model of the eutrophic Lake Taihu, which is based the open-source code FVCOM (Finite Volume Coastal Ocean Model).

Biography & research interests

I studied applied mathematics (B.Sc and M.Sc) at the Université Paul Sabatier (Toulouse, France) and I graduated in Engineering Sciences from the Ecole Nationale Supérieure de l’Aéronautique et de l’Espace (SUPAERO, Toulouse, France) in 2006. Then I was a PhD student at the Laboratory of Analysis and Architecture of Systems (LAAS, Toulouse, France), under the supervision of Gérard Montseny. I received the PhD degree in Automatic Control in 2009. From 2010 to 2011, I was in postdoctoral position at the Centre for Systems Engineering and Applied Mechanics (CESAME, Louvain-laNeuve, Belgium), under the supervision of Denis Dochain. Since September 2011, I am a permanent researcher at the French National Institute of Research in Agriculture (INRA) in the Department of Applied Mathematics and Informatics. I was first a member of the INRA/INRIA project-team MODEMIC (Modelling and Optimization of the Dynamics of Ecosystems with MICro-organisms). My new research team is called MOCAS, for Modelling, Optimization and Control of AgroecoSystems. My research interests focus on the modelling of microbial ecosystems, the control of bioprocesses and the study of distributed delay systems.

 

Selected publications

C. Casenave, E. Montseny, G. Montseny, 2017. System Identification by Operatorial Cancellation of Nonlinear Terms and Application to a Class of Volterra Models. International Journal of Robust and Nonlinear Control, 27, 8, 1211-1241.

Zhou, J., Qin, B., Casenave, C. et al., 2016. Effects of turbulence on alkaline phosphatase activity of phytoplankton and bacterioplankton in Lake Taihu. Hydrobiologia 765: 197. Doi: 10.1007/s10750-0152413-z.

J. Zhou, B. Qin, C. Casenave, et al., 2015. Effects of wind wave turbulence on the phytoplankton community composition in large, shallow Lake Taihu. Environmental Science and Pollution Research, 22, 16, 12737-12746.

C. Casenave, D. Dochain, G. Alvarez, M. Arellano, H. Benkhelifa, D. Leducq, 2015. Model identification and reduction for the control of an ice cream crystallization process. Chemical Engineering Science, 119, 274-287.

E. Montseny, C. Casenave, 2015. Analysis, simulation and impedance operator of a non local model of porous medium for acoustic control. Journal of Vibration and Control, 21, 5, 1012-1028.

Awards & patents

2014: Application Paper Prize (APP) of the 19th World Congress of IFAC (International Federation of Automatic Control), for the paper “Control of a Multi-Stage Continuous Fermentor for the study of the wine fermentation”

2013: Fellowship for Young International Scientists of the Chinese Academy of Sciences (CAS)

2013: Outstanding Reviewer, IEEE Transactions on Automatic Control

2009: Fellow of the Amelia Earhart award of Zonta International (http://www.zonta.org), honoring women pursuing Ph.D./doctoral degrees in aerospace-related sciences or aerospace-related engineering.

Keywords

Cyanobacterial blooms; Population dynamics; Modelling; Numerical simulation; Lake Taihu; Water remediation; Drinking water supply