Data Analytics, Intelligent and Scalable
The DAISY team is part of the of the SIDCH axis of the LIG lab (UMR 5217), a joint lab of Université Grenoble Alpes, Grenoble INP, CNRS, and Inria.
Bâtiment IMAG
150 place du Torrent
38400 Saint-Martin-d'Hères, France
The team is interested in new data management and artificial intelligence approaches, both theoretical and applied, to support the development of intelligent and scalable data-centered systems.
Our currrent research focus includes:
- New paradigms in data management. We are interested in the development of formal data management approaches (data models, data provenance, optimization, ontologies) to guide AI models and tools.
- AI for data management. We study the use of AI approaches such as generative AI, multi-armed bandits, and reinforcement learning to solve classic data management problems such as recommendation, optimization.
- Human-centred applications. We also focus on interdisciplinary areas such as recommendations in education (personalized quizes and lessons) and e-health.