Section: Dissemination

Teaching - Supervision - Juries

Teaching

Note: UNS is the Univ Nice Sophia-Antipolis, UCA is the Univ Côte d'Azur.

• Licence : M. Dreveton, “Tools for biology – Statistics”, 24H, L1 Life Sciences, UNS, France;

• Master : S. Alouf, “Performance Evaluation of Networks”, 27H, M2 Ubinet, UCA, France;

• Master : K. Avrachenkov, “Statistical Analysis of Graphs”, 6H, M2 Data Science, UCA, France;

• Master : M. Dreveton, “Statistical Analysis of Graphs”, 26H, M2 Data Science, UCA, France;

• Master : G. Neglia, “Distributed Optimization and Games”, 31.5H, M2 Ubinet, UNS, France;

• Master : G. Neglia, “Performance Evaluation of Networks”, 4.5H, M2 Ubinet, UCA, France;

• Master : G. Neglia, responsible for the “Winter School on Hands-on Machine Learning”, 22.5H, M1 Computer Science, UNS, France.

• Doctorat: A. Jean-Marie, “Queueing Systems”, 6H, Summer School ResCom 2019, Anglet, France.

Supervision

• PhD: Zaid Allybokus, “Scalable Online Algorithms for SDN Controllers”, UCA, 11 June 2019, advisors: Konstantin Avrachenkov, Jeremie Leguay and Lorenzo Maggi (Huawei).

• PhD: Dimitra Politaki, “Greening data center”, UCA, 16 July 2019, advisors: Sara Alouf and Fabien Hermenier (Nutanix).

• PhD in progress: Mandar Datar, “Singular perturbation approach for machine learning in multiobjective optimisation”, Univ Avignon, 1 May 2018, advisor: Eitan Altman.

• PhD in progress: Maximilien Dreveton, “Statistical Physics Methods for Distributed Machine Learning”, UCA, 1 Oct. 2018, advisor: Konstantin Avrachenkov.

• PhD in progress: Guilherme Iecker Ricardo, “Caching for wireless networks”, UCA, 1 Sept. 2018, advisors: Giovanni Neglia and Pietro Elia (EURECOM ).

• PhD in progress: Mikhail Kamalov, “Semi-supervised variational autoencoders versatile data”, UCA, 1 June 2019, advisor: Konstantin Avrachenkov.

• PhD in progress: Marie Masson, “Fonctionnalités auto-organisantes dans le réseau d’accès radio 5G virtuels”, UCA, 1 Dec. 2017, advisors: Eitan Altman and Zwi Altman (Orange).

• PhD in progress: Tareq Si Salem, “Federated Learning”, UCA, 1 October 2019, advisor: Giovanni Neglia.

• PhD interrupted: Abhishek Bose, “Adaptive crawling with machine learning techniques”, 1 June 2018 – 30 Sep. 2029.

Juries

Neo members participated in the Ph.D. committees of (in alphabetical order):

• Zaid Allybokus, “Scalable Online Algorithms for SDN Controllers”, UCA, 11 June (K. Avrachenkov as advisor);

• Lea Bayati, “Data Centers Energy Optimization”, Univ Paris-Est Créteil, 20 September (A. Jean-Marie as reviewer);

• Céline Comte, “Resource management in computer clusters: algorithm design and performance analysis”, Telecom ParisTech, 24 September (A. Jean-Marie as jury president);

• Muhammad Jawad Khokhar, “Modeling Quality of Experience of Internet Video Streaming by Controlled Experimentation and Machine Learning”, UCA, 15 October (G. Neglia as jury member)

• Xiaoyi Mai, “Methods of random matrices for large dimensional statistical learning”, CentraleSupelec, 16 October (K. Avrachenkov as jury member);

• Antonio Massaro, “Optimisation, games and learning strategies in telecommunication systems subject to structural constraints”, University of Trento, 7 May (K. Avrachenkov as reviewer);

• Dimitra Politaki, “Greening data center”, UCA, 16 July (S. Alouf as advisor);

• Yonathan Portilla, Univ Avignon, “Study of Social Networks: modelling and analysis”, 20 May (E. Altman as co-advisor);

• Arthur Vallet, “Modélisation markovienne de lasers multimodes à semiconducteurs”, Université de Montpellier, 15 October (A. Jean-Marie as jury member).