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AI@UHasselt

UHasselt has a mission as a civic university to gain insight into pressing societal questions. In recent years, the rise of artificial intelligence has progressively disrupted our society by bringing incredible potential but also unexplored risks.

Our researchers aim to help our international network of partners in the search for answers.

Doing so, we closely follow European initiatives, such as the AI act, that serve the same purpose of helping our society make the most of this upcoming technology.

Following the AI act, we adhere to the definition of Artificial Intelligence:

AI systems are designed to operate with a certain level of autonomy and, based on machine and/or human-provided data and inputs, infer how to achieve a given set of human-defined objectives using machine learning and/or logic- and knowledge based approaches, and produces system-generated outputs such as content (generative AI systems), predictions, recommendations or decisions , influencing the environments with which the AI system interacts.

Field of study/sector

  • Higher Education & Research
  • Across all disciplines (AI in general)

Is part of:

Past courses

Introduction to AI and Machine Learning for Biomedical Research

18 November 2025

training course - online - KU Leuven, VUB, UHasselt, UGent, VAIA

From Bytes to Brilliance: A stakeholder perspective on data science challenges

28 November 2024

symposium - Hasselt - Data Science Institute (UHasselt)

Introduction to AI and Machine Learning for Biomedical Research

26 November 2024

training course - online - KU Leuven, VUB, UHasselt, UGent, VAIA

Big Data for Health & Care: The Arisal of Data Spaces

23 April 2024

symposium - Hasselt - Hasselt University

How to set-up a Health Data Sharing Initiative

22 April 2024

workshop - Diepenbeek - Hasselt University

Transitioning ML Workflows from Academia to Practice

26 February 2024

two-day masterclass - Hasselt - UHasselt & VAIA

Gitlab & OSL Training DSI

10 October 2023

workshop - Hasselt - VAIA & UHasselt

De-identification and anonymisation of sensitive data

20 October 2022

Two-day course - Hasselt - VAIA, Flames Network & UHasselt

Challenges of implementing AI in the healthcare ecosystem

9 May 2023

two-day masterclass - Hasselt - UHasselt, In4Care, HealthHouse, VAIA

Blog posts

MLOps: using machine learning efficiently

Do you understand how AI works? Then now is the time to learn how to implement AI models efficiently, in day-to-day practice: self-learning, self-directed, yet controlled. You can achieve this thanks to MLOps: a bundle of good practices that allows you to automate and optimise the entire AI process. Axel-Jan Rousseau (UHasselt, VAIA) explains how this works.

Paarse robot hartje Vansummeren

Stijn Vansummeren

professor of Computer Science at the Data Science Institute (UHasselt)

Blauwe robot snor Geubbelmans

Melvin Geubbelmans

PhD researcher - UHasselt

Axel-Jan Rousseau Rousseau

Axel-Jan Rousseau

Postdoctoral researcher - UHasselt, AI expert - VAIA

Paarse robot snor Bex

Geert Jan Bex

Universiteit Hasselt

Rode robot De Jaeger

Peter De Jaeger

AZ Delta, UHasselt

Patrizia Zanoni

Patrizia Zanoni

Hasselt University
Rode robot snor Verbeke

Geert Verbeke

KU Leuven, Hasselt University

Paarse robot snor Molenberghs

Geert Molenberghs

Hasselt University, LStat (KU Leuven)