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Faculty habilitation de CHEN Lin
CHEN Lin
Faculty habilitation
Group : Graphs, ALgorithms and Combinatorics

Algorithm Design and Analysis in Wireless Networks

Starts on 00/00/0000
Advisor :

Funding :
Affiliation : vide
Laboratory :

Defended on 11/07/2017, committee :
- M. BASAR Tamer, Professeur à University of Illinois at Urbana-Champaign
- M. FRAIGNIAUD Pierre, Directeur de Recherche au CNRS
- M. GAUJAL Bruno, Directeur de Recherche à l’INRIA
- M. ALTMAN Eitan, Directeur de Recherche à l’INRIA
- M. DEBBAH Mérouane, Professeur à Supélec, Directeur de Mathematical and Algorithmic Sciences Lab, Huawei France Research Center
- Mme. COHEN Johanne, Directeur de Recherche au CNRS
- M. BEAUQUIER Joffroy, Professeur à Université Paris-Sud
- M. MARTIGNON Fabio, Professeur à Université Paris-Sud

Research activities :

Abstract :
Algorithms are perhaps the most fundamental and fascinating elements in computer science as a whole. Networks and networked systems are no exception. This habilitation thesis summarizes my research during the last eight years on some algorithmic problems of both fundamental and practical importance in modern networks and networked systems, more specifically, wireless networks. Generically, wireless networks have a number of common features which form a common ground on which algorithms for wireless networks are designed. These features include the lack of network-wide coordination, large number of nodes, limited energy and computation resource, and the unreliable wireless links. These constraints and considerations make the algorithmic study for wireless networks an emerging research field requiring new tools and methodologies, some of which cannot be drawn from existing state-of-the-art research in either algorithm or networking community.

Motivated by this observation, we aim at making a tiny while systematic step forwards in the design and analysis of algorithms that can scale elegantly, act efficiently in terms of computation and communication, while keeping operations as local and distributed as possible. Specifically, we expose our works on a number of algorithmic problems in emerging wireless networks that are simple to state and intuitively understandable, while of both fundamental and practical importance, and require non-trivial efforts to solve. These problems include (1) channel rendezvous and neighbor discovery, (2) opportunistic channel access, (3) distributed learning, (4) path optimization and scheduling, (5) algorithm design and analysis in radio-frequency identification systems.

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