Data Intelligence Institute of Paris

 

The Data Intelligence Institute of Paris (diiP) completed its lifecycle in December 2024. These pages remain active in order to give easy access to all the material produced and gathered during the previous years; most notably to the Distinguished Lectures, as well as to the Seminars and Hands-On Workshops organized by diiP on data science introductory and advanced topics (in the menu, under “Events”).

The Data Intelligence Institute of Paris (diiP) is an interdisciplinary initiative of Université Paris Cité. It is a laboratory that fosters and supports the emergence of interdisciplinary practices around data science and data intelligence. It gathers researchers from formal sciences, physical sciences, life sciences and social sciences.

“The mission of diiP is to foster a new wave of scientific discoveries by enabling scientists and practitioners to make sense of their large and complex data, and achieve breakthroughs that would not otherwise be possible.”

Prof. Themis Palpanas

Director of diiP

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diiP Projects

PhD Scholarships

 

Several PhD Scholarships (supported by the ANR Data Intensive Artificial Intelligence -DIAI- project) will be offered by diiP (starting on academic year 2021-2022) for students working on interdisciplnary projects on topics related to data intensive artificial intelligence.

Strategic projects

 

The diiP institute will host and partly finance a small number of interdisciplinary Strategic Projects, of duration up to 12 months each, with the goal to contribute to both the analysis and implementation aspects.

Master’s Internships

 

The diiP institute will organize and finance several six-month Masters students Internship Projects on data science, in connection to interdisciplinary collaborations.

Identification of image circulation by AI in large collections of historical photographs

2024 Master's Projects @Computer Science#computer vision#digital humanities#artificial intelligence#history of photography  Project Summary There is a blind spot for both the humanities and computer science when one considers the mass of heritage photographs now...

Multiple imputation for heterogeneous biological data

2022Masters Projects@Mathematics and Statistics +Computer Science+Biology+Medicine #Multiple imputation#complex data#missing values#biology#heterogeneity#sequential imputation#clusterwise regression  Project SummaryIdentifying clusters of individuals in heterogeneous...

PARKER — Planetary lidAR seeKing for lifE signatuRe

2021Strategic Projects@Earth Sciences and Geosciences +Mathematics/Statistics+Physics/Astronomy #LiDAR#surface of planets#image processing#geomorphology#critical zone#biomass#signal processing#aliasing Project SummaryThe topography of planets bear the imprint of the...

Multimodal assessment of the depth of sedation of severely ill patients in intensive care unit

2023Strategic Projects@Computer Science +Mathematics/Statistics+Engineering+Medicine+Neuroscience #anesthesia#signal processing#symbolic representations#physiological signals  Project Summaryto be updated. Laurent Oudre Projects in the same discipline

Exploration intelligente de lames histologiques

2021PhD/ DIAI Projects@Informatique, télécommunications et électronique de Paris (EDITE) PhD studentZhuxian GUO (LIPADE, UPC)   SupervisorsNicolas LOMÉNIE (LIPADE, UPC)Camille KURTZ (LIPADE, UPC)Henning MÜLLER (unité Health Sierre, Suisse)  Project...

Deep learning for estimating gas concentration maps from satellite or airborne hyperspectral images

2024 Master's Projects@Mathematics/Statistics #hyperspectral imaging#atmospheric monitoring#earth observation#deep learning  Project Summaryto be updated. Andrés Almansaandres.almansa@parisdescartes.fr- Research Director at CNR Projects in the same discipline

Deep learning-based prediction of protein-carbohydrate interactions

2024 Master's Projects @Biology#protein-carbohydrate interactions #deep learning #structural bioinformatics  Project Summary Protein-carbohydrate interactions govern a wide variety of biological processes and play an essential role in the development of different...

Dark energy studies with the Vera Rubin observatory LSST & Euclid-developing a combined cosmic shear analysis with bayesian neural networks

2021PhD/ DIAI Projects@ED 560 : Sciences de la Terre et de l’Environnement et Physique de l’Univers de Paris (STEP'UP) PhD studentJustine ZEGHAL (AstroParticule & Cosmologie, UPC) SupervisorsEric AUBOURG (APC, UPCAlexandre BOUCAUD (APC, UPC)Cécile ROUCELLE (APC,...

Generalization of a method enabling to update vineyard geographic databases from satellite data

2023Masters Projects@Computer Science +Earth Sciences/Geosciences #image time series analysis#deep learning#optical satellite imagery#agriculture monitoring#crop type mapping#vineyard#VENUS images Project Summaryto be updated. Camille Kurtz Projects in the same...

Artificial Intelligence for source deblending in the next generation of astrophysical big data imaging surveys – Combining Euclid and LSST

2021Masters Projects@Physics and Astronomy +Computer Science+Mathematics/Statistics+Physics/Astronomy #cosmology#astrophysics#probabilistic deep learning#image processing  Project SummaryAstronomy, as many other disciplines, is entering a big data era. The next...