AIDAQ

Adaptive, Intelligent Data Analysis & Querying

TRI – Tremplin pour la Recherche Internationale
Université d'Orléans

Project Leadership & Partners

Responsible Laboratory: LIFO – Laboratoire d’Informatique Fondamentale d’Orléans

Project Leader: Mirian Halfeld Ferrari Alves

Brazilian Universities

UFRN – Universidade Federal do Rio Grande do Norte USP – Universidade de São Paulo UFPR – Universidade Federal do Paraná ITA – Instituto Tecnológico de Aeronáutica UFPE – Universidade Federal de Pernambuco UFAL – Universidade Federal de Alagoas

About the Project

AIDAQ develops unified querying and analysis across heterogeneous data models (relational, graph, and document) by extending query languages with predictive and analytical features and automating the structuring of unstructured data.

The project bridges computer science research and its applications in biology and health, promoting long-term collaborative ties between France and Brazil.

Brazil–France International Network

AIDAQ aims to consolidate a long-term research network between French and Brazilian institutions in computer science and life sciences.

Through joint supervision, mobility programs, shared datasets, and collaborative publications, the project strengthens scientific exchange between the two countries.

Scientific Objectives

Confidence-aware querying of incomplete graph data
Similarity measures for complex and heterogeneous data
Integration of structured and unstructured data models
Meta-learning and transfer learning for forecasting
Explainable multi-modal clustering
Scalable GPU-based and parallel processing
Applications to biology and health domains

Contact

Laboratoire d’Informatique Fondamentale d’Orléans (LIFO)
Université d'Orléans
Project Leader: Mirian Halfeld Ferrari Alves
mirian [at] univ-orleans.fr