There are currently 17 PhD theses in progress in the lab.

• Real time Edge Deployable AI for Safety in Construction Sites and Public Environments – Mohamed BENKEDADRA
• Deep representation learning for computer assisted language learning – Prernna BHATNAGAR
• Information extraction in human non-verbal expression for context understanding – Hugo BOHY
• Deep Learning applied to computer vision – Myriam DOH
• Amusement Expression Processing for Human-Agent Interactions – Kevin EL HADDAD
• Deep learning and image analysis for characterising the growth dynamics of winter wheat varieties – Elias ENNADIFI
• Multimodal transformers applied in the medical field – Cyprien GILLE
• Novel deep learning architectures with Explicit geometry encoding as an inductive bias – Ahmad HAMMOUDEH
• Cognitive Load-Informed Adaptation of XR Environments: Leveraging Visual Attention Modeling – Adrien KINART
• Identification of the “relational patterns” of visitors in unguided tour situations and design of a prototype for a personalised tour educational mediation system at the Musée du Doudou (Mons, Belgium) – Marine LAGASSE
• Interpolation of presets for sound synthesis: modelling and control using multimodal neural networks – Gwendal LE VAILLANT
• Animate and Evaluate Self-Avatar in Virtual Reality – Antoine MAIORCA
• Action and Anomaly Detection on Edge – Mohammed El Amine MOKHTARI
• Real-time tracking and animation of faces in 3 dimensions, without markers, using audio-video complementarity – François ROCCA
• Crowd Analysis and Augmentation – Ratha SIV
• AI applied to clinical biomechanics – Feten SKHIRI GABBOUJ
• Intelligent assistant for the visually impaired and blind – Vincent STRAGIER