Research Group Services and Data Management (SEDAN)

Our Research

Security and trust in service and data management
SEDAN conducts research in data analytics and machine learning in FinTech, security for blockchain applications and decentralized finance (DeFi). The group also directs projects on the security aspects of networking, vehicular networks, and cloud-based infrastructures.

A Secure Payment
System for
the Metaverse

Read the Article

Researchers & Partners

Researchers interested in designing architectures, algorithms, and approaches in these research areas will find an international and collaborative work environment where they are invited to propose ideas and think outside the box. Through the group’s close contact with industrial partners, PhD and postdoctoral candidates will also be able to acquire key skills and insights for their future career, whether they choose to stay in academia or join the industry.

Prospective partners interested in growing their business in Luxembourg, and looking for deep technical expertise to support their R&D departments, will find an important link to state-of-the-art research. By collaborating with SEDAN, they will have the opportunity to work with talented researchers recruited at an international level. Fields of application include: blockchain, machine learning, anti-money laundering (AML), Know-Your-Customer (KYC), computer networks, and cloud infrastructures. SEDAN also manages the 360Lab, a thematic research laboratory on smart mobility.

Research projects

Our Projects

  • Duration:

    2018-2023

  • Funding source:

    H2020

  • Researchers:

    Dr. Antonio Ken Iannillo

  • Partners:

    Consortium of 50 universities and industrial partners

  • Description:

    Security for IoT systems, digital identity with distributed ledgers and threat intelligence.
    Concordia is one of the four H2020 cybersecurity competence center projects retained for funding by the EC.

  • Project details (PDF):

  • Duration:

    2020-2023

  • Funding source:

    FNR

  • Researchers:

    Dr. Hui Huang

  • Partners:

    FNR

  • Description:

    Technology transfer of quality monitoring using machine learning and near infrared spectroscopy.
    This project is currently running and a spin-off activity is being planned.

  • Project details (PDF):

  • Duration:

    2021-2024

  • Funding source:

    FNR

  • Researchers:

    Researchers:

  • Partners:

    YOBA

  • Description:

    FNR BRIDGES project on data ingestion and integration for FinTech enterprises.

  • Project details (PDF):