LISN, located on the Orsay campus, is a research laboratory created in January 2021 due to the union of 7 LIMSI research groups and 7 LRI research teams. It is a Joint Research Unit (UMR) with CNRS, University Paris-Saclay, INRIA, and CentraleSupélec. LISN is a multidisciplinary research laboratory that brings together researchers and teacher-researchers from different disciplines in the Engineering and Information Sciences, as well as Life Sciences and Human and Social Sciences.

LISN hosts about 400 people, including 170 researchers and 150 Ph. D students. Its research forces cover a broad spectrum of fundamental and applied computer science and engineering science research. It is composed of five departments corresponding to interdisciplinary themes:

  • Algorithms, Learning and Computation
  • Interaction with Humans
  • Fluid Mechanics and Energy Mechanics
  • Data Science
  • Language Science and Technologies

The departments work together on five cross-cutting actions. The aim is to develop new directions and take advantage of the originality and diversity of the expertise of LISN members.

  • Deep Learning for Physics and Physics for Learning
  • Computer sciences and SHS
  • Arts and Sciences
  • Visualization and exploration of big data
  • Responsible Research

More information

Visit the laboratory website

Download LISN 2023 report

Contact

Director: Sophie ROSSET
sophie.rosset[at]lisn.upsaclay.fr

Latest submissions

PROCEEDINGS
11/14/2025
Pipeline for Semantic Segmentation of Large Railway Point Clouds
Hugo Gabrielidis, Filippo Gatti, Stephane Vialle
Communication on a congress
03/24/2025
Federated Non-Stochastic Multi-Armed Bandit for Channel Sensing in Cognitive Radio Systems
Kinda Khawam, Farah Yassine, Samer Lahoud, Yujie Tang, Dominique Quadri, Steven Martin
Communication on a congress
01/08/2025
Article in a review
01/01/2025
SpatialTouch: Exploring Spatial Data Visualizations in Cross-reality
Lixiang Zhao, Tobias Isenberg, Fuqi Xie, Hai-Ning Liang, Lingyun Yu
Article in a review
01/01/2025
PREVis: Perceived Readability Evaluation for Visualizations
Anne-Flore Cabouat, Tingying He, Petra Isenberg, Tobias Isenberg
Browse all laboratory submissions on HAL