Research interests
- Signal and image processing
- Multimodal learning
- Trustworthy and Explainable AI
- Transfer Learning & Foundational Models
- Computational Medical Imaging and Diagnostics
Active Projects
- Past2Eco – From Past Crops to Future Crops for Agroecology: Using Digital Solutions to Harness Adaptive Genetic Diversity. WP4 develops AI approaches for variety discrimination and digital phenotyping. Link
- TWIN-OPHTHALMO – Starting in 2027, this Horizon Europe Twinning project will strengthen the scientific excellence and innovation capacity of the Slovak University of Technology in Bratislava (STU) in artificial intelligence for ophthalmology. In collaboration with Lappeenranta-Lahti University of Technology (LUT) and Institut Mines-Télécom (IMT), the project will combine joint research, advanced training, researcher mobility, doctoral education, and institutional modernisation. Its goal is to support the development of reliable, human-centred AI solutions for ophthalmic diagnosis and treatment while helping STU build lasting capacity within the European research and innovation ecosystem.
Past Projects
- DISFILL – Proposal for the design of an intelligent system for monitoring and flexibilization of production in a dry product filling plant (Universidad de Guayaquil - FCI083-2023)
- DIANA – Démocratiser l’imagerie de fusion dans le cancer de la prostate (BPI France)
- RADIUS – Registration of biomechanic AI models with Ultrasound images (FLI - R3)
- FLAG – Fusion multimodale et apprentissage faiblement supervisé pour la segmentation du cancer de la prostate (FLI - W4)
- FOLLOWKNEE – Innovative workflow in knee replacement surgery (ANR-17-RHUS-0005)
- Computational characterization of voice pathologies through the movement of the vocal folds (Universidad de Guayaquil - FCI063-2019)
- NeuroVoz – Multimodal Evaluation of Neurological Disorders Through Voice Characterization
