Research Forum of the RISE Academy of Excellence

The "Networks, Information, and Digital Society" Academy of Excellence, celebrating its 10th anniversary, is pleased to invite you to its 

RESEARCH FORUM

Friday, November 27, 2026
9:00 AM - 4:00 PM

Inria Center of Université Côte d'Azur
Room Euler Bleu and online

This day is dedicated to the presentation of 10 research projects supported in 2025 and 2026 by the RISE Academy.

It will be an opportunity to discover the diversity of the projects, exchange ideas on their findings, and foster connections across the scientific community. The presentations will be conducted in English and French.
 
This event is open to all the community members of Université Côte d'Azur.
 

PROGRAM

8:45 AM
Welcome coffee
9:00 AM Introduction
Chadi BARAKAT, Director of the "Networks, Information and Digital Society" Academy
9:15 AM     HUMNI: Innovative neural HUman-Machine Interface
François HUG, LAMHESS, Université Côte d'Azur
9:45 AM           LEARN-AI: Impact of AI on human learning: an experimental approach
Agnès FESTRÉ, Université Côte d'Azur
10:15 AM Pref-AIdvisor: Experimental Elicitation of LLM preferences in AI-human advice
Guilhem LECOUTEUX, Université Côte d'Azur, CNRS, GREDEG
10:45 AM
Coffee break
11:00 AM EXPLAINER: Revealing the hidden parts of arguments
Victor DAVID, Inria center, i3S laboratory
11:30 AM PredicHate: Pragmatic modelling for preventing antisocial behaviour
Anaïs Ollagnier, Yingxue FU, Université Côte d'Azur, i3S laboratory
12:00 PM LaunderCoin: Automatic detection of money laundering on Bitcoin
Arnaud LEGOUT, Inria center
12:30 PM
Lunch buffet
2:00 PM DataDisks: Data informed computational fluid dynamics for planet formation
Héloïse MEHEUT, CNRS, OCA, Université Côte d'Azur
2:30 PM FAIGATS: Field-Aligned Isogeometric Methods for Tokamak Simulations
Francesca RAPETTI-GABELLINI, LJAD, Inria center, Université Côte d'Azur
3:00 PM TransGraph: Transfer Learning for Graph-linked Data
Konstantin AVRACHENKOV, Inria center
3:30 PM GENIAL: From Scientific Machine Learning to Topological Data Analysis: an Innovative Framework to Improve Gene Regulatory Network Dynamic Rewiring for Plant Health
Mathieu CARRIÈRE, Inria center, Silvia BOTTINI, INRAE
4:00 PM Conclusion

REGISTRATION

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CONTACT

Nathalie Currid
+33 4 92 38 79 39
nathalie.currid@univ-cotedazur.fr 
academie-rise@univ-cotedazur.fr

RISE Academy web page

CURRENT CALLS FOR PROJECTS