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.

Deep Learning-based EEG Epilepsy Detection and Analysis

2023Strategic Projects@Computer Science +Medicine # EEG analysis#epileptic pattern detection#deep learning#active learning  Project SummaryElectroencephalogram (EEG) is one of the most common and essential medical signal collected by neural scientists for the analysis...

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

Smoothing of incomplete air pollution regions of interest from satellite observations

2021Masters Projects@Computer Science +Physics/Astronomy #image analysis#segmentation#air pollution#ozone#satellite imaging Project SummaryEnvironmental questions such as atmospheric pollution and climate change are key issues for our modern society to live in a more...

Investigating Diffusion Models for Astronomical Image Deconvolution – boosting the synergy between Euclid and LSST

2024 Master's Projects@Physics/Astronomy #diffusion models #image processing #deconvolution   🎉This project has been accepted at the ML4Physics workshop at NeurIPS!Project Summary This project tackles the problem of deconvolving astronomical images to uncover the...

Compact representations to detect gravitational waves from extreme-mass ratio inspirals

2024 Master's Projects@Physics/Astronomy #Gravitational waves#extreme-mass ratio inspirals#data representations#neural networks  Project Summary Extreme Mass Ratio Inspirals (EMRIs), detectable only by the future space-based detector LISA, provide a unique opportunity...

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

Leveraging multivariate geophysical and geochemical time series for monitoring volcanic systems: can we use machine learning?

2022 PhD/ DIAI Projects @Matthieu NougaretPhD student at Institut de Physique du Globe de Paris. Doctoral school 560.diiP, IdEx Université Paris Cité, ANR-18-IDEX-0001.   Charles Le LosqUniversité de Paris, Institut de physique du globe de Paris, CNRSLise...

Accelerate Discoveries (boosting) Astroparticle Physics (analysis) Techniques – ADAPT

2024 Strategic Projects @Physics/Astronomy #Self-supervised Learning#Semi-supervised Learning#Sensitivity enhancement#Data Analysis based on AI Project Summary The aim of the ADAPT project was to develop a novel analysis strategy for the KM3NeT astroparticle physics...

Deeply Learning from Neutrino Interactions with the KM3NeT neutrino telescope

2022 PhD/ DIAI Projects @AstronomyParticle physics and graph neural networks Santiago PENA MARTINEZ Project Summary A new generation of neutrino experiments is in the horizon looking to explore many of the open questions on neutrino properties and searching for...

Machine learning model of volcanic lava properties helps understanding the dynamics of volcanic eruptions

2021Masters Projects@Earth Sciences and Geosciences +Chemistry #melt#glass#material#properties#neural networks#thermodynamics  Project SummaryHow do molten silicate melts move? How do they exchange heat with their surrounding? How do they crystallize? These...