Section: Dissemination

Teaching - Supervision - Juries

Teaching

François Le Gland has given

• a 2nd year course on introduction to stochastic differential equations, at INSA (institut national des sciences appliquées) Rennes, within the GM/AROM (risk analysis, optimization and modeling) major in mathematical engineering,

• a 3rd year course on Bayesian filtering and particle approximation, at ENSTA (école nationale supérieure de techniques avancées), Palaiseau, within the statistics and control module,

• a 3rd year course on linear and nonlinear filtering, at ENSAI (école nationale de la statistique et de l'analyse de l'information), Ker Lann, within the statistical engineering track,

• a course on Kalman filtering and hidden Markov models, at université de Rennes 1, within the SISEA (signal, image, systèmes embarqués, automatique, école doctorale MATISSE) track of the master in electronical engineering and telecommunications,

• and a 3rd year course on hidden Markov models, at Télécom Bretagne, aka IMT Atlantique, Brest.

Cédric Herzet has given

• a Master course at INSA Rennes, option Génie Mathématique, cours de Parcimonie en traitement du signal et des images.

• a Master course at Ensai Rennes, Master international “Smart Data” , cours “Foundations of Smart Sensing”.

PhDs of the team members

• Defended PhD: Kersane Zoubert–Ousseni, CEA LETI, Grenoble. Subject: Off–line indoor navigation  [1], supported by a CEA grant, with Christophe Villien (CEA LETI, Grenoble) as co-advisor. From Dec 2014 to Apr 2018. This PhD is related to our applicative/transfer activity on filtering.

• In progress: Thi Tuyet Trang Chau, IRMAR Rennes 1 University. Subject: new statistical methods for missing-data imputation and non-parametric state-space modeling, supported by Labex Lebesgue and Brittany Council, with Pierre Ailliot (UBO) as co-advisor. Since Oct 2015. This PhD is related to Objective 3.

• In progress: Audrey Cuillery, Inria rennes. Subject: Bayesian tracking from raw data, supported by a CIFRE grant from Naval Group (DCNS) Research, with Dann Laneuville (Naval Group) as co-advisor. Since May 2016. This PhD is related to our applicative/transfer activity on filtering.

• In progress: Audrey Poterie, IRMAR and INSA Rennes. Subject: extension of learning methods to grouped variables, supported by a French Research Ministry grant, with Jean-François Dupuy (INSA) and Laurent Rouvière (Rennes 2) as co-advisors. Since Oct 2015. This PhD is related to Objective 3.

• In progress: Yushun Xu, LAMA, Paris-Est University. Subject: Variance reduction and Langevin processes, supported by a French Research Ministry grant, with Pierre-André Zitt (LAMA) as a co-advisor. Since Sept 2015. This PhD is related to Objective 1 and Application 1.

• Starting: Gabriel Jouan, IRMAR, Rennes. Subject: parametric and non-parametric weather forecast corrections from catalogs of weather data records, supported by a CIFRE grant of Scalian Alyotech, with Soulvan Monnier (Scalian Alyothech) as co–advisor. Starting 2018. This PhD is related to our applicative/transfer activity, as well as to Objective 2 and Objective 3.

C. Herzet is the co-supervisor of two PhDs, one with Frédéric Champagnat (Onera, Palaiseau), and one with Charles Vanwynsberghe (ENSTA Bretagne) and Alexandre Baussard (IUT de Troyes).

Juries

• François Le Gland has been a member of the PhD defense committee of Nicolas Merlinge (université Paris Sud and Coventry University, advisers : Hélène Piet–Lahanier and James Brusey).

• Cédric Herzet has been a member of the PhD defense committee of Quentin Denoyelle, « Theoretical and Numerical Analysis of Super-Resolution without Grid », Paris-Dauphine, Thesis director : Gabriel Peyré.