Mohammed El Morabiti

Smart technologies for medical debriefingStarting: 05/01/2026PhD Student: Mohammed El MorabitiAdvisor(s): Sébastien IksalCo-advisor(s): Emmanuel G. BlanchardFunding: CIFREThis thesis is a collaborative effort between the Laboratoire d’Informatique de l’Université du Mans (LIUM) and the Centre Hospitalier du Mans (CHM). The main objective is to improve the medical debriefing phase following training based on Rapid Virtual Simulations. In […]

Lu Zuo

Automatic multilingual speech recognition for languages of sub-Saharan AfricaStarting: 09/12/2025PhD Student: Lu ZuoAdvisor(s): Marie Tahon (LIUM)Co-advisor(s): Élodie Gauthier (Orange), Lina ROJAS (Orange), Aghilas Sini (LIUM), Funding: Cifre – ANRTThe aim of this thesis is to study and develop solutions for speech understanding using weakly supervised or unsupervised approaches, in order to effectively exploit available data […]

Joffrey Guilmet

Exploring Haptics as Extended Reality in Asymmetric Collective ActivityStarting: 17/06/2024PhD Student: Joffrey GuilmetAdvisor(s): Sébastien GEORGECo-advisor(s): Diego Vilela MonteiroFunding: Européen This thesis explores haptics as an extended reality within an asymmetric collective activity. It centers on the following question: “Which haptic factors can be effectively mapped to information in order to support interaction and understanding ?”.  To […]

Benjamin Georges

Integration of spatio-temporal reasoning on mixed reality headsets using artificial intelligenceStarting: 01/01/2025PhD Student: Benjamin GeorgesAdvisor(s): Iza MarfisiCo-advisor(s): Charles Gouin-Vallerand, Kevin BoucardFunding: MITACS et Région Pays de la Loire My PhD thesis is a collaboration between LIUM in France and DOMUS in Canada. The aim of this thesis is to assist a Mixed Reality (MR) headset […]

Sonita Te

Leveraging Data Science and AI for Tailored Teaching and Learning through Student ProfilingStarting: 01/03/2025PhD Student: Sonita TeAdvisor(s): Sebastien GEORGECo-advisor(s): Madeth MayFunding: bourse CambodgienneThis project explores the use of augmented analytics to enhance student profiling for personalized education. By leveraging AI, machine learning, and data science, we aims to analyze diverse student data to provide actionable […]

Natacha Miniconi

Optimizing Human Intervention for Synthetic Speech Quality Evaluation: Active Learning for AdaptabilityStarting: 01/10/2024PhD Student: Natacha MiniconiAdvisor(s): Anthony LarcherCo-advisor(s): Meysam ShamsiFunding: Region TandemContext: The primary objective of Text-to-Speech (TTS), speech conversion and speech to speech translation system is to synthesize or generate a high-quality speech signal. Typically, the quality of synthetic speech is subjectively evaluated by […]

Matthieu François

Quantitative analysis of opposition to transition technologies on social networksStarting: 01/03/2024PhD Student: Matthieu FrançoisAdvisor(s): Xavier Arnauld de Sartre (Université de Pau)Co-advisor(s): Nicolas Dugué Funding: ANR Chaire industrielle REASONSDescription: This thesis aims to adopt data mining techniques to study commitments to ecological transition, and in particular to characterize the rise of debates on transition technologies on […]

Thierry Forest

Promoting the appropriation of serious games by teachers, through a metadesign approach, based on open-source softwareStarting: 01/01/2024PhD Student: Thierry FORESTAdvisor(s): Iza MarfisiCo-advisor(s): Bertrand MarneFunding: Collectivités locales mayennaises Serious games offer important benefits for learning, but their use by teachers remains marginal. The objective of this thesis is to understand how to promote teachers’ appropriation of […]

Félix Saget

Interpretability of pre-trained models for automatic speech processing Starting: 04/12/2023PhD Student: Félix SagetAdvisor(s): Marie TahonCo-advisor(s): Anthony Larcher & Nicolas DuguéFunding: Allocation de recherche du ministère de l’enseignement supérieur Descritpion Avec l’avènement des réseaux de neurones, les travaux en apprentissage automatique se sont éloignés des méthodes traditionnelles qui nécessitaient une grande expertise des données, couramment appelées […]

Youness Dkhissi

Enriched end-to-end approach with variable complexity for speech-to-textStarting: 01/10/2023PhD Student: Youness DkhissiAdvisor(s): Anthony LarcherCo-advisor(s): Stéphane Pateux, Valentin Vielzeuf, Elys Allesiardo (Orange)Funding: CIFREGlobal context and problematics of the subject Speech transcription is an essential tool in many services; it enables a user’s request formulated in natural language to be transcribed into a dialogue system, but can […]