Lusis - LISN
CentraleSupélec
Research Chair

  • Applications of artificial intelligence
  • to the banking domain
  • and to global health

Lusis

  • Publisher of TANGO,
  • a high-performance transaction platform for the finance industry
  • which is a complete retail payment system
  • that includes fraud detection
  • as well as extremely rich and complex
  • “front to back” trading platforms

Lusis - AI

  • June 2017: Lusis created its AI R&D department
  • Focus on Machine Learning & Deep Learning
  • Solves complex, high-value industrial problems
  • Enhances AI-driven solutions

Lusis - LISN
CentraleSupélec
Research Chair

  • Launched in 2020
  • Strengthen previous collaboration
  • in fraud detection
  • and algorithmic trading
  • Renewed in 2024
  • with a new axis about global health

Fraud

Fraud detection in credit card payments.

Trading

Algorithmic trading.

Health

Global health.

PhD

PhDs projects and proposals.

Graduate

Graduate projects.

Latest News

Stay updated on our latest events and announcements.

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ESANN 2026

By José Lucas De Melo Costa on April 22, 2026

José Lucas De Melo Costa will attend ESANN 2026 in Bruges to present “High Performance, Low Reliability: Uncertainty Benchmarking for Tabular Foundation Models”.

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We are hiring!

By Fabrice Popineau on May 1, 2025

We are hiring !

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ICLR 2025

By Fabrice Popineau on April 24, 2025

José Lucas De Melo Costa, Bich-Liên Doan and Fabrice Popineau will attend ICLR2025 in Singapour to present T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data Hugo Thimonier, who is now at Emobot, will be there too.

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ILB 2025

By Fabrice Popineau on March 17, 2025

José Lucas De Melo Costa, Fabrice Daniel and Fabrice Popineau are presenting Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments at the 18th Financial Risks International Forum in Paris organized by Institut Louis Bachelier.

More about the event:

Day 1 kick off Day 1 parallel sessions Day 1 wrap-up 2nd day kick off 2nd day parallel sessions

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