PhD defense of Mayeul Matthias – 22 January 2021

2 January 2021

On January 22, 2021, Mayeul Matthias will defend his thesis entitled “Recommendation of Personalized Cultural Paths – An Interdisciplinary Study of Automated Visit Proposals.” This thesis is supervised by Juan-Manuel Torres and Didier Josselin, and co-supervised by Fen Zhou. The jury consists of: Abstract: This thesis focuses on recommending cultural visits through an interdisciplinary approach. These works combine techniques from Operations Research and natural language processing while drawing on concepts from audience sociology and geography. We propose new methods for evaluating cultural points of interest and automatically creating tourist routes that take into account the desires expressed by a visitor. These principles are applied on two different scales and contexts: museum visits and cultural paths within a city. In the first part, we concentrate on visits to art museums based on the preferences expressed by the visitor and the prestige of the artworks. This dual approach allows classifying the works both according to the cultural affinities of the visitor and their importance within the museum. The latter is calculated by applying automatic text summarization algorithms to the museum’s official descriptions of the works, providing a visit profile reflecting the discovery of a museum through its masterpieces. This profile can then Plus d'infos

PhD defense of Dina Tarek – 18 December 2020

18 December 2020

Dina Tarek will defend her thesis on Friday, December 18th at 2:30 PM. This thesis is jointly supervised with Egypt. Titre : Development of Spectrum Sharing Protocol for Cognitive Radio Internet of Things Jury: Abstract: Internet of Things (IoT) presents a new life style by developing smart homes, smart grids, smart city, smart transportation … etc., so IoT is developing rapidly. However recent researches focus on developing the IoT applications disregarding the IoT spectrum scarcity problem facing it. Integrating Internet of Things (IoT) technology and Cognitive Radio Networks (CRNs), forming Cognitive Radio Internet of Things (CRIoTs), is an economical solution for overcoming the IoT spectrum scarcity. The aim of this thesis is to solve the problem of spectrum sharing for CRIoT; the work in thesis is presented in three parts. Our first contribution is to propose two new protocols to solve the problem of channel status prediction for interweave CRNs. Both protocols uses Hidden Markov Model (HMM). In the training stage of both protocols, the available data are trained to produce two HMM models, an idle HMM model and a busy one. Both models are used together to produce the 2-model HMM. In the prediction stage the first protocol uses Bayes theorem and the 2-model HMM, while the Plus d'infos

HDR defense of Richard Dufour – 8 December 2020

8 December 2020

Defense of the HDR entitled ‘Natural Language Processing: Studies and Contributions at the Frontiers of Interdisciplinarity’, on Tuesday, December 8, 2020, at 2:00 PM in the Thesis Room of Avignon University (Hannah Arendt Campus – City Center). The defense committee will be composed of:

PhD defense of Cyril Sahuc – 1st December 2020

1 December 2020

On December 1st, 2020, at 2:00 PM in the meeting room of LIA. Title: Mathematical Approaches for Retail Area Planning: Linear Models, Algorithms, and Multi-Agent Systems. Thesis in collaboration with Cyrille Genre-Grandpierre (UMR Espace) as part of an industrial regional scholarship. Due to the situation, the defense will be held remotely (like all theses currently).

Language weekly meetings

28 October 2020

  Starting from November 6th, small informal meetings around the « language » research area of LIA will be re-introduced. These events are expected to foster interesting discussions around the members interested in this broad topic. More precisely, we all know that it may become hard to follow or even have a global view on what our colleagues do, thus potentially preventing relevant collaborations. In fact, many benefits may come from such short group meetings.     Each session will be divided into two parts:    Round table: each participant will be given 5 minutes to speak about her/his latest findings, progress, questions, research paper. In short, it is about exchanging ideas and understanding what peoples do. Of course, slides are not required, this is a simple informal discussion.  Short talk: Every week, one person will be given the opportunity to present something in 5-15min. It could be a presentation that should be given to a conference (i.e with feedbacks from the group), new results, a completely unexplored idea, or even simply a paper that the speaker found relevant.      Duration: 45min-1hour. When: Every Friday What time: 13:00-14:00. (Not fixed yet) Who: Absolutely e-v-e-r-y-o-n-e. PhD students are STRONGLY encouraged to attend. Where: Physically if allowed (COVID) or virtually. The room Plus d'infos

Appel à la concurrence en vue d’un achat de serveurs

17 July 2020

Le LIA désire acheter 4 serveurs de calcul, chacun configuré comme suit : Les entreprises intéressées par cet appel sont priées de faire parvenir avant le 1er septembre 2020 un devis pour quatre serveurs correspondant à cette configuration (incluant les frais de livraison) à l’adresse : teva.merlin@univ-avignon.fr.

Best Paper Award

25 June 2020

Prof. Abderrahim Benslimane et ses co-auteurs ont obtenu le BEST PAPER AWARD pour leur article “Defending Malicious Check-in Based on Access Point Selection for Indoor Positioning System”, publié à la conference IEEE International Conference on Communications (ICC 2020), 7-11 June 2020, Dublin, Ireland.: https://icc2020.ieee-icc.org/

Prof. Benslimane IEEE Distinguished Lecturer

22 June 2020

Chaque année IEEE Vehicular Technology Society nomme quelques conférenciers émérites, Distinguished Lecturers, connus pour leurs travaux de recherche dans la technologie de véhicules. Cette année, Abderrahim Benslimane, professeur à l’université d’Avignon et membre du Laboratoire d’Informatique d’Avignon est l’un des Lauréats qui ont été sélectionnés dans ce sens pour deux ans. Dans le cadre de cette nomination, et avec le soutien financier de IEEE, le conférencier émérite pourra être invité dans le monde pour donner des conférences dans son domaine d’expertise.

PhD defense of Carlos González – 18 December 2019

18 December 2019

Thesis defense of Carlos González entitled ‘Multimedia and Multilingual Automatic Summarization and Information Retrieval’ on Wednesday, December 18, 2019, at 2:00 PM in the Thesis Room (Saint Marthe – City Center). Jury: Abstract: As multimedia sources have become massively available online, helping users to understand the large amount of information they generate has become a major issue. One way to approach this is by summarizing multimedia content, thus generating abridged and informative versions of the original sources. This PhD thesis addresses the subject of text and audio-based multimedia summarization in a multilingual context. It has been conducted within the framework of the Access Multilingual Information opinionS (AMIS) CHISTERA-ANR project, whose main objective is to make information easy to understand for everybody. Text-based multimedia summarization uses transcripts to produce summaries that may be presented either as text or in their original format. The transcription of multimedia sources can be done manually or automatically by an Automatic Speech Recognition (ASR) system. The transcripts produced using either method differ from wellformed written language given their source is mostly spoken language. In addition, ASR transcripts lack syntactic information. For example, capital letters and punctuation marks are unavailable, which means sentences are nonexistent. To deal Plus d'infos

PhD defense of Titouan Parcollet – 3 December 2019

3 December 2019

Thesis defense of Titouan Parcollet, entitled “Artificial Neural Networks Based on Quaternion Algebra,” will take place on Tuesday, December 3, 2019, at 2:30 PM in the Blaise Pascal amphitheater (CERI). The thesis will be presented before a jury composed of: The defense will be conducted in French. You are also invited to the reception following the defense in Room 5. Abstract: In recent years, deep learning has become the preferred approach for developing modern artificial intelligence (AI). The significant increase in computing power, along with the ever-growing amount of available data, has made deep neural networks the most efficient solution for solving complex problems. However, accurately representing the multidimensionality of real-world data remains a major challenge for artificial neural architectures. To address this challenge, neural networks based on complex and hypercomplex number algebras have been developed. Thus, the multidimensionality of data is integrated into neurons, which are now complex and hypercomplex components of the model. In particular, quaternion neural networks (QNNs) have been proposed to process three-dimensional and four-dimensional data, based on quaternions representing rotations in our three-dimensional space. Unfortunately, unlike complex-valued neural networks, which are now accepted as an alternative to real-valued neural networks, QNNs suffer from several limitations, Plus d'infos

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