Section: Dissemination

Teaching - Supervision - Juries

Teaching

• Licence: B. Błaszczyszyn (Cours) Théorie de l'information et du codage 24 heqTD, L3, ENS Paris.

• Licence: A. Busic (Cours) and S. Samain (TD) Structures et algorithmes aléatoires 60heqTD, L3, ENS Paris.

• Licence: L. Massoulié (Cours) Social and Communication networks 60heqTD, L3, l'X.

• Master: B. Błaszczyszyn (Cours) Processus ponctuels, graphes aléatoires et géeométrie stochastique 39heqTD, M2 Probabilités et Modèles Aléatoires, UPMC.

• Master: A. Busic (Cours) and L. Stephan (TD) Modèles et algorithmes de réseaux 60heqTD, M1, ENS Paris.

• Master: A. Busic (Cours) Fondements de la modélisation des réseaux 18 heqTD, M2 MPRI.

• Master: M. Lelarge (Cours) Deep Learning Do it Yourself, M1, ENS Paris. X, X-HEC https://mlelarge.github.io/dataflowr-web/

• Master: M. Lelarge (Cours) Deep Learning Do it Yourself, M1, ENS Paris.

• Master: L. Massoulié (Cours) Inference in large random graphs, M2 Université d'Orsay.

• Summer school: M. Lelarge (Cours) HANDS-ON TOUR TO DEEP LEARNING WITH PYTORCH, https://mlelarge.github.io/dataflowr-web/cea_edf_inria.html.

• Invited mini-course: L. Massoulié at Journée spéciale Stat Math 2019 of Société Française de Statistiques, Institut Henri Poincaré.

Supervision

• PhD: Léo Miolane, “High dimensional statistics”, defended in 2019, advised by M. Lelarge. [2]

• PhD: Md Umar Hashmi, “Decentralized control for renewable integration in smartgrids”, defended in 2019, advised by A. Busic. [1]

• PhD in progress: Alexis Galland, Deep Learning on Graphs, since 2017, advised by M. Lelarge.

• PhD in progress: Quentin Le Gall “Crowd networking : modélisation de la connectivité D2D” since October 2017; PhD CIFRE co-advised by B. Błaszczyszyn and E. Cali (Orange).

• PhD in progress: Antoine Brochard “Signal processing for point processes and statistical learning for telecommunications”, since September 2018; PhD CIFRE co-advised by B. Błaszczyszyn and Georgios Paschos (Huawei).

• PhD in progress: Sébastien Samain, “Monte Carlo methods for performance evaluation and reinforcement learning”, since November 2016, advised by A. Busic,

• PhD in progress: Arnaud Cadas, “Dynamic matching models”, since October 2017, supervised by A. Busic.

• PhD in progress: Michel Davydov, since September 2019, F. Baccelli.

• PhD in progress: Luca Ganassali, since September 2019.

• PhD in progress: Hadrien Hendrikx, since 2019

• PhD in progress: Sayeh Khaniha, form 2019, supervised by F. Baccelli.

• PhD in progress: Edouard Pineau, since 2019,

• PhD in progress: Bharath Roy, since 2019, supervised by F. Baccelli and B. Błaszczyszyn,

• PhD in progress: Ilia Shilov, since 2019, supervised by A. Busic,

• PhD in progress: Ludovic Stephan, since 2019.

Juries

• F. Baccelli: PhD reviewer of Gourab GHATAK, Télécom Paris; HDR reviewer of Marios KOUNTOURIS, Université Paris-Sud 1; HDR jury member of Raphaël LACHIEZE-REY, Université Paris-Descartes.

• B. Blaszczyszyn: PhD reviewer of: Sanjoy Kumar JHAWAR, Indian Institute of Science Bangalore, India; Arnaud POINAS, Université de Rennes 1; HDR reviewer of: Marious KOUNTOURIS, Université Paris-Sud 1; PhD jury member of : Jalal RACHAD, Télécom Paris.

• C. Fricker: PhD reviewer of: Celine COMTE, Université Paris-Saclay; PhD jury member of: Hamza BEN AMMAR, Université de Rennes 1.

• M. Lelarge: PhD jury member Xiaoyi MAI, Université Paris-Saclay.