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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
DESIGNING INTERACTIVE TOOLS FOR CREATORS AND CREATIVE WORK
Creative work has been at the core of research in Human-Computer Interaction (HCI). I describe the results of a series of studies that look at how creators work, where creators include artists with years of professional practice, as well as learners, or novices and casual makers. My research focuses on three creation activities: drawing, physical modeling, and music composition. For these activities, I examine how artists switch between representations and how these representations evolve throughout their creative process, from early sketches to fine-grained forms or structured vocabularies. I present interactive systems that enrich their workflow (i) by extending their computer tools with physical user interfaces, or (ii) by making physical materials interactive. I also argue that sketch-based representations can allow for user interfaces that are more personal and less rigid. My presentation will reflect on lessons and limitations of this work and discuss challenges for future design-support tools.

INCREASING THE BANDWIDTH OF INTERACTIVE VISUALIZATIONS, USING COMPLEX DISPLAY ENVIRONMENTS AND TARGETED DESIGNS
Interactive visualizations combine human computer interaction, visual design, perception theory, as well as data processing methods in order to propose visual data representations that amplify cognition, and aid data exploration and understanding. We can consider visualization as a communication medium or channel between humans and their data. The higher the communication bandwidth (the data that can be communicated and understood), the more effective the visualization is. My research attempts to increase the bandwidth of this communication channel in the following two ways. (i) First, by moving away from traditional desktops towards larger displays that can both render larger amounts of data and can accommodate multiple viewers. (ii) And second, by designing and studying appropriate visual representations that show salient information. In my presentation I will describe my work on these topics, the challenges it tries to address, and discuss the methodology and inspiration behind this research.

MODéLISATION DE SYSTèME PHYSIQUES PAR APPRENTISSAGE STATISTIQUE PROFOND