There are currently 18 PhD theses in progress in the lab.
PhD thesis
- Cognitive Load-Informed Adaptation of XR Environments: Leveraging Visual Attention Modeling – Adrien KINART
- Easy individualized head related transfer function estimation model for user-tailored immersive experiences – Alexandre PHILIPPON
- Non-invasive multimodal cardiovascular health assessment – Antoine COLLET
- Animate and Evaluate Self-Avatar in Virtual Reality – Antoine MAIORCA
- Real-Time Users Tracking and Non-Verbal Language Analysis of Using Non-Invasive Methods – François ROCCA
- Real time Edge Deployable AI for Safety in Construction Sites and Public Environments – Mohamed BENKEDADRA
- Deep Learning applied to computer vision – Myriam DOH
- Novel deep learning architectures with Explicit geometry encoding as an inductive bias – Ahmad HAMMOUDEH
- Communication in cooperative multi-agent systems – Bastien VANDERPLAETSE
- Multimodal transformers applied in the medical field – Cyprien GILLE
- Deep learning and image analysis for characterising the growth dynamics of winter wheat varieties – Elias ENNADIFI
- AI applied to clinical biomechanics – Feten SKHIRI GABBOUJ
- Information extraction in human non-verbal expression for context understanding – Hugo BOHY
- Amusement Expression Processing for Human-Agent Interactions – Kevin EL HADDAD
- Deep Learning for the automatic analysis of blood platelets – Michael Selasi DZAMESI FIAGBENU
- Action and Anomaly Detection on Edge – Mohammed El Amine MOKHTARI
- Expressive interactive agent – Thomas BALDASSARRE
- Crowd Analysis and Augmentation – Ratha SIV
Slides