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Ph.D de

Ph.D
Group : Networking & Stochastic and Combinatorial Optimization

Chance Constrained Problem and Its Applications

Starts on 01/09/2016
Advisor : LISSER, Abdel

Funding : Autre financement à préciser
Affiliation : Université Paris-Sud
Laboratory : LRI - ParSys

Defended on 17/06/2019, committee :
M. Yacine CHITOUR CentraleSupelec

Mme Francesca MAGGIONI University of Bergamo Via dei Caniana 2

Mme Janny LEUNG Chinese University of Hong Kong (Shenzhen)

M. Alexandre CAMINADA Université de Nice

M. Mounir HADDOU INSA Rennes

M. Abdel LISSER Université Paris-Sud

M. Zhiping CHEN Xi'an Jiaotong University

M. Vikas Vikram SINGH Department of Mathematics, IIT Delhi

Research activities :

Abstract :
Uncertainty is a natural property of complex systems. The target of optimization under uncertainty is to provide profitable and reliable decisions for systems with such uncertainties. Chance constrained optimization is a natural and widely used approach for the formulation of optimization problems under uncertainty.
In this talk, we will systematically investigate chance constrained problems from the following perspectives:
• Stochastic geometric program with rectangular constraints,
• Bounds for chance constrained problems,
• Distributionally robust chance constrained problem based on mixture model,
• Stochastic non-cooperative game with stochastic strategy constraints.

Ph.D. dissertations & Faculty habilitations
DECODING THE PLATFORM SOCIETY: ORGANIZATIONS, MARKETS AND NETWORKS IN THE DIGITAL ECONOMY
The original manuscript conceptualizes the recent rise of digital platforms along three main dimensions: their nature of coordination devices fueled by data, the ensuing transformations of labor, and the accompanying promises of societal innovation. The overall ambition is to unpack the coordination role of the platform and where it stands in the horizon of the classical firm – market duality. It is also to precisely understand how it uses data to do so, where it drives labor, and how it accommodates socially innovative projects. I extend this analysis to show continuity between today’s society dominated by platforms and the “organizational society”, claiming that platforms are organized structures that distribute resources, produce asymmetries of wealth and power, and push social innovation to the periphery of the system. I discuss the policy implications of these tendencies and propose avenues for follow-up research.

DISTRIBUTED COMPUTING WITH LIMITED RESOURCES


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