PhD defense of Sarkis Moussa – 30 June 2023

30 June 2023

Date: Friday, June 30, 2023. 2pm Place: thesis room (salle des thèses) at the Hannah Arendt campus. For those unable to attend, here is the BBB link for the video conference: https://v-au.univ-avignon.fr/live/bbb-soutenance-de-these-sarkis-moussa-30-juin-2023/ Title: Architecture and Protocols for Public Safety Users in the 5G Cellular Networks Abstract: Public Safety Networks (PSNs) are wireless communication systems designed to meet the needs of emergency responders, including firefighters, police, and many other Public Safety (PS) agencies. These networks are used to prevent or respond to incidents that pose a threat to people or property. Traditionally, these PSNs were supported by reliable, but low-rate radio technologies that provide limited services such as voice communication among Public Safety Users (PSUs). Consequently, their capability to take advantage of recent developments in wireless networks and broadband applications was restricted. At the forefront of wireless communication technologies, 5th Generation (5G) and beyond Cellular Networks (CNs), are ideal for this purpose due to their advanced infrastructure and tailored techniques developed for broadband services. Their capacity for high data transmission, low latency in data exchange, and ability to support a significant number of connected devices make them perfectly suited to overcome the limitations associated with PSNs. Integrating PSNs into 5G can Plus d'infos

Cornet Seminar – Éric Bourreau – 23/06/2023

23 June 2023

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.

Cornet Seminar – Paolo Zappala – 09/06/2023

9 June 2023

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.

PhD defense of Sondes Abderrazek – 2 May 2023

2 May 2023

Date: 2nd of May at 2:00 pm. Place: Avignon at the Centre d’Enseignement et de Recherche en Informatique (Ada Lovelace Auditorium)  The jury members: Title: Assessment of Speech Intelligibility using Deep Learning: Towards Enhanced Interpretability in Clinical Phonetics. Abstract: Speech intelligibility is an essential component of effective communication. It refers to the degree to which a speaker’s intended message can be understood by a listener. This capacity can be hampered as a consequence of speech disorders, which results in a reduced quality of life for individuals. In the case of Head and Neck Cancer (HNC), speech may be affected due to the presence of tumors in the speech production system, but the main cause of speech impairment is typically the tumor treatment including surgery, radiotherapy, chemotherapy, or a combination of these treatments. In such cases, the evaluation of speech quality is crucial to assess the communication deficit of patients and develop targeted treatment plans. In clinical practice, perceptual measures are considered the gold standard for assessing speech disorders. Although these measures are widely used, they suffer from several limitations, the most important of which is their subjectivity. Consequently, the automatic assessment of speech disorders has emerged as a promising alternative to perceptual Plus d'infos

PhD defense of Paul-Gauthier Noé – 26 April 2023

26 April 2023

Date: 26th of April at 2:30pm. Place: Centre d’Enseignement et de Recherche en Informatique (Ada Lovelace auditorium)  The jury will consist of: Title: Representing evidence for attribute privacy: Bayesian updating, compositional evidence and calibration. Abstract: Attribute privacy in multimedia technology aims to hide only one or a few personal characteristics, or attributes, of an individual rather than the full identity. To give a few examples, these attributes can be the sex, nationality, or health state of the individual. When the attribute to hide is discrete with a finite number of possible values, the attacker’s belief about the attribute is represented by a discrete probability distribution over the set of possible values. The Bayes’ rule is known as an information acquisition paradigm and tells how the likelihood function is changing the prior belief into a posterior belief. In the binary case—i.e. when there are only two possible values for the attribute—the likelihood function can be written in the form of a Log-Likelihood-Ratio (LLR). This has been known as the weight-of-evidence and is considered a good candidate to inform which hypothesis the data is supporting and how strong. The Bayes’ rule can be written as a sum between the LLR and the log-ratio of Plus d'infos

Cornet Seminar – Shane Mannion – 05/04/2023

5 April 2023

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

Cornet Seminar – Rachid Elazouzi – 31/03/2023

31 March 2023

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

Cornet Seminar – Mandar Datar – 10/03/2023

10 March 2023

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.

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