Master in Optimization

Former students


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 fellowship 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

Student name Title of memoir Advisor and host institution
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

Student name Title of memoir Advisor and host institution
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