The Data Science Department at EURECOM focuses on current computational, statistical and mathematical challenges in Machine Learning and Artificial Intelligence, as well as novel approaches to Knowledge and Data Management.
The Data Science department was created in February 2016. The aim of creating this new department at EURECOM was to consolidate the research and teaching activities in Data Science, and expanding the breadth of application domains beyond the field of telecommunications, which has been the main focus of EURECOM since its creation.
Our work is defined through an interdisciplinary approach to research, merging contributions from computer science, machine learning, statistics, and mathematics. Our research program is centered around the disciplines to semantically integrate and enrich data, to model and understand data, to design and analyze scalable computational approaches to machine learning, and to build systems that allow storing and processing vast amounts of data. We address several applied problems, which motivate the development of novel theory and algorithms.
The main research lines underpinning our academic and industrial projects involve the development of a solid foundation of systems and theoretical tools to interact with and manipulate vast amounts of heterogeneous data.
3IA Chairs are funded by “Interdisciplinary Institutes of Artificial Intelligence”, created in France in 2019.
3IA Chairs are funded by “Interdisciplinary Institutes of Artificial Intelligence”, created in France in 2019.
Effective Inference of Cleaning Programs from Data Annotations.
Continuous Curation of a Knowledge Base System for Data Auditing.
Computational methods for verifying claims and identifying misinformation about COVID-19.
Funded Ph.D. (CIFRE) on RAW Data Fusion
Funded Ph.D. (CIFRE) on Probabilistic Reinforcement Learning
Machine learning on optical hardware.
AXA Chairs are funded by the AXA Research Fund, which supports fundamental research to advance our understanding of risk.