Cornet

In the context of team Cornet’s seminars, Antoine Dejonghe (LIA) will present his research work on June 30, 2023, at 11:35 in the meeting room.

In the context of team Cornet’s seminars, Éric Bourreau (LIRMM) will present his research work on Quantum Computers, a New Information Technology Revolution?, on June 23, 2023, at 11:35 in the meeting room. Abstract: The concept of quantum computing dates back to the late 1980s, and the first quantum algorithms were born in the 1990s. However, the novelty of recent years is the construction of actual quantum machines that are beginning to validate the theory. This seminar will attempt to explain how the definition of QuBits (quantum bits) gives rise to a new paradigm of computation. We will try to understand what computational power is now being offered and at what point quantum optimization could become competitive with ‘classical’ optimization methods.

In the context of team Cornet’s seminars, Andrea Fox (LIA) will present her research work on June 15, 2023, at 11:35 in the meeting room.

In the context of team Cornet’s seminars, Paolo Zappala (LIA/Orange) will present his research work on Extensive-form games with perfect information, on June 6, 2023, at 11:35 in the meeting room.

In the context of team Cornet’s seminars, Shane Mannion (University of Limerick) will present his research work on Correlations on complex networks and their degree distributions, on April 5, 2023, at 11:35 in the meeting room. Abstract: First we look at long range correlations in complex networks. The assortativity of a network, that is, the correlation between properties of neighboring nodes can have important practical implications. For example, a targeted vaccination program will be less effective in an assortative social network (where high-degree people mix with others of high degree). We are concerned with whether these correlations between nodes extend to nodes that are separated by more than a single edge. In this talk I will discuss how the correlation between properties of connected nodes in a social network changes as the distances between those nodes increases. This lead us to research on fitting degree distributions, where we introduce a method for fitting to the degree distributions of complex network datasets, such that the most appropriate distribution from a set of candidate distributions is chosen while maximizing the portion of the distribution to which the model is fit. Current methods for fitting to degree distributions in the literature are inconsistent Plus d'infos

In the context of team Cornet’s seminars, Rachid Elazouzi (LIA) will present his research work on Controlled Matching Game for Resource Allocation and User Association in WLANs, on March 31, 2023, at 11:35 in the meeting room. Abstract: In multi-rate IEEE 802.11 WLANs, the traditional user association based on the strongest received signal and the well known anomaly of the MAC protocol can lead to overloaded Access Points (APs), and poor or heterogeneous performance. Our goal is to propose an alternative game-theoretic approach for association. We model the joint resource allocation and user association as a matching game with complementarities and peer effects consisting of selfish players solely interested in their individual throughputs. Using recent game-theoretic results we first show that various resource sharing protocols actually fall in the scope of the set of stability-inducing resource allocation schemes. The game makes an extensive use of the Nash bargaining and some of its related properties that allow to control the incentives of the players. We show that the proposed mechanism can greatly improve the efficiency of 802.11 with heterogeneous nodes and reduce the negative impact of peer effects such as its MAC anomaly. The mechanism can be implemented as a virtual Plus d'infos

In the context of team Cornet’s seminars, Mandar Datar (LIA) will present her research work on Online algorithms in games and convex optimization, on March 10, 2023, at 11:35 in the meeting room.

In the context of team Cornet’s seminars, Panagiotis Andrianesis (Boston University) will present his research work on Optimal Distributed Energy Resource Coordination: A Hierarchical Decomposition Method Based on Distribution Locational Marginal Costs, on February 23, 2023, at 11:35 in the meeting room. Abstract: In this work, we consider the day-ahead operational planning problem of a radial distribution network hosting Distributed Energy Resources (DERs) including rooftop solar and storage-like loads, such as electric vehicles. We present a novel hierarchical decomposition method that is based on a centralized AC Optimal Power Flow (AC OPF) problem interacting iteratively with self-dispatching DER problems adapting to real and reactive power Distribution Locational Marginal Costs. We illustrate the applicability and tractability of the proposed method on an actual distribution feeder, while modeling the full complexity of spatiotemporal DER capabilities and preferences, and accounting for instances of non-exact AC OPF convex relaxations. We show that the proposed method achieves optimal Grid-DER coordination, by successively improving feasible AC OPF solutions, and discovers spatiotemporally varying marginal costs in distribution networks that are key to optimal DER scheduling by modeling losses, ampacity and voltage congestion, and, most importantly, dynamic asset degradation.