KU Leuven

Focus

Augment develops human-centred approaches that make AI systems more transparent, accessible and useful for end users.

Key Topics

• Human-Centred AI

• Explainable AI

• Recommender Systems

• Visual Analytics

• Data Visualisation

Main Contact

• Katrien Verbert

Focus

DTAI develops methods that combine machine learning, reasoning and knowledge representation to build intelligent systems that can learn from data while using structured knowledge.

Key Topics

• Neuro-symbolic AI

• Automated Data Science

• Knowledge Graphs

• Probabilistic Reasoning

• Machine Learning

• AI Verification

Contacts

• Wannes Meert

• Jessa Bekker

Focus

EAVISE develops AI systems that can operate in real-time environments with embedded sensing and processing capabilities.

Key Topics

• Embedded AI

• Computer Vision

• Sensor Fusion

• Real-Time Processing

Main Contact

• Toon Goedemé

Focus

ITEC develops AI techniques that support learning, healthcare and evidence-based decision making.

Key Topics

• Explainable AI

• Predictive Modelling

• Active Learning

• Machine Learning

• Healthcare AI

Main Contact

• Celine Vens

• Frederik Cornillie

Focus

LIIR researches language technologies and multimodal AI systems that enable machines to understand and generate human language.

Key Topics

• Natural Language Processing

• Language Generation

• Knowledge Extraction

• Multimodal AI

Main Contact

• Sien Moens

Focus

LMSD applies AI and advanced engineering methods to intelligent industrial systems and predictive maintenance applications.

Key Topics

• Predictive Maintenance

• Digital Twins

• Industry 4.0

• Machine Learning

• Monitoring & Prognostics

Main Contact

• Konstantinos Gryllias

Focus

MICAS develops next-generation hardware platforms that support efficient AI deployment and high-performance computing.

Key Topics

• AI Hardware

• Machine Learning Platforms

• Chiplets

• Hardware Acceleration

• System Architecture

Main Contact

• David Maes

Focus

PSI researches AI methods that enable machines to understand visual, audio and medical data.

Key Topics

• Computer Vision

• Speech Processing

• Medical Imaging

• Machine Learning

• Continual Learning

Contacts

• Frederik Maes

• Tinne Tuytelaars

Focus

STADIUS develops mathematical and computational methods for machine learning, signal processing and data analytics, with applications ranging from healthcare to industrial systems.

Key Topics

• Machine Learning

• Deep Learning

• Optimization

• Biomedical Data Analysis

• Systems & Control

• Signal Processing

Main Contact

• Toon van Waterschoot

• Bart De Moor