M2 Optimisation - Testimonies

M2 Optimisation: Presentation video and Testimonies

K. Syrtseva (2018/19)

« After a first year of Master in Fundamental Mathematics, I chose the M2 Optimization because of the wide range of courses, especially Game theory and Stochastic Optimization.

The program enables students to get a complete overview of modern directions and then to specialize in selected areas. Moreover, it encourages them to attend research seminars and advanced mini-courses, allowing them to grasp the big picture of actual scientific questions.

Thanks to these opportunities, I found an internship on Game theory applications to Energy Tariffication in EDF, and now continue my research path by doing the PhD on Short Term Operational Planning of Electrical Networks in the same company. »

J. M. Machado (2020/21)

« I received a bourse from FMJH to pursue my studies in the Optimisation track at Orsay, after working in optimal control. A great advantage of the program is to encourage interaction with many different mathematical schools in the Paris region.

I fell in love with the fields of calculus of variations and optimal transport, which I got to know during the Master's courses. Now I use these topics daily in my research.

I cannot express how thankful I am for the professors from the Laboratoire de Mathématiques d'Orsay and the administrative staff from FMJH for their support and teaching. I recommend M2 Optimisation to anyone who is searching for a stimulating environment to do mathematics and to make friends. »

2020/21 internships

Baptiste Plaquevent-Jourdain	Optimisation non-lisse: problèmes de complémentarité	Jean-Charles Gilbert at Inria and Jean-Pierre Dussault at U. Sherbrooke
Camilla Martinez Parra	Implementation of Stochastic Dual Dynamic Programming algorithm for decision hazard information structure	Michel de Lara at École des Ponts and Marc Ittel at Efficacity
Alix Dupont	Queueing game model at one or several charging stations with strategic users	Yezekael Ayel / Tania Jiménez at U. Avignon and Cheng Wan/ Olivier Beaude at EDF
Gabriel Baudry	Green and resilient supply chains	Vincent Leclère at École des Ponts
Leonardo Basile	A Deep Learning Approach for Protein-Ligand Affinity Prediction	Hannu Myllykallio at Polytechnique
Joao Miguel Machado	Wasserstein gradient flow of the total variation	Antonin Chambolle and Vincent Duval at Inria / Univ. Paris-Dauphine
Nicolas Vandame	Breaking log-like barriers	Stéphane Gaubert and Xavier Allamigeon at Inria / Polytechnique
Ivan Novikov	Stochastic Games with Short Stage Duration: Overview and Generalizations	Guillaume Vigeral at Univ. Paris-Dauphine
Rémi Castera	Fair matching in two sided platforms with noisy preferences	Patrick Loiseau, Inria / Univ. Grenoble
Mohamed Amine Ben Ghalleb	Hotelling's problem	Quentin Mérigot at UPSaclay
Thanh Loan Nguyen	Spanning trees with a few leaves	Hao Li, CNRS/UPSaclay
Emmanuel Kahanam	Méthodes proximales en apprentissage automatique	Jean-Christophe Pesquet, Laurent Le Brusquet at CentraleSupélec
Jingyun Yang	Global Surrogate Models in the CMA-ES for Blackbox Optimization	Dimo Brockhoff and Nikolaus Hansen, Inria/Polytechnique
Ji Gao	An investigation of the effects of adversarial attacked neural prediction models on energy system scheduling problems	Eike Cramer, FZ Juelich

2019/20 internships

Liding Xu	Optimal Location of Safety Landing Sites	Claudia D’Ambrosio, Leo Liberti, Sonia Vanier at LIX, Polytechnique
Jean-Jacques Godeme	A new transportation distance with bulk/interface interactions and flux penalization	Thomas Gallouët et Léonard Monsaingeon at Inria Paris, équipe Mokaplan
Bouchra Mroué	Optimisation de stratégies de maintenance de systèmes industriels complexes à partir de scénarios	Selma Khebbache et Michel Batteux at IRT SystemX
Thomas Guilmeau	Contrôle optimal périodique : applications à la dépollution de l’eau	Alain Rapaport at INRAE Montpellier
Adrien Rey	Etablissement d’un modèle stylisé de polyculture simultanée	Sophie Martine at INRAE Clermont-Ferrand and Hélène Frankowska at IMJ-PRG
Simeon vom Dahl	Identification of the feasible set of initial conditons for the collision avoidance of two satellites	Jean-Baptiste Caillau, Jean-Baptiste Pomet, Lamberto Dell’Elce at Inria Sophia-Antipolis and Univ. Côte d’azur
Tahar Allouche	Multi-Winner Voting and Multi-Criteria Optimization for Critical Resource Allocation	Jérôme Lang at Lamsade, Université Paris-Dauphine
Pedro Roehl Suanno	Optimisation bi-niveaux appliquée à la tarification de fourniture d’électricité	Clémence Alasseur and Riadh Zorgati at EDF R&D
Guillaume Garnier	Théorie des jeux dynamiques : un lien avec l’étude du problème d’homogénéisation des équations d’Hamilton-Jacobi	Bruno Ziliotto at Ceremade, Université Paris-Dauphine
Shanqing Liu	Highway Hierarchies for HJB PDEs	Marianne Akian and Stéphane Gaubert at CMAP, Polytechnique
Charles-Gérard Lucas	Multivariate interface detection using Mumford-Shah	Patrice Abry and Nelly Pustelnik at ENS Lyon
Anthony Bataille	Motion planning for control systems with drift	Dario Prandi at LSIS, CentraleSupélec
Élie Leroy	Lasserre relaxation methods applied to a single neuron network	Marc Castella at Télécom SudParis
François Doyelle	Modèles d’enchères bruitées, à deux joueurs, avec possibilité de revente	Lucie Ménager at Université Paris 2
Emmanuel Kahanam	Domain adaptation for phenotype prediction	Blaize Hanczar at IBISC Lab and Olaru Sorin at CentraleSupélec
Lin Siying	Game Theory in Competitive Viral Marketing and Effectiveness of Mitigation Measures against the Covid-19 Epidemic	Samson Lasaulce and Constantin Morarescu at Université de Lorraine
Alexandre Schulz	Designing Shortest Path Heuristics using Machine Learning	Paolo Medagliani and Sébastien Martin, Huwaei Technologies

Masquer le programme de cours