Faculty of Applied Engineering
Department of Electronics and Information and Communication Technologies
IDLab:
- Dr. Ali Anwar: stability, robustness and transparency in data-driven autonomous control systems
Faculty of Arts
Department of Linguistics
CLiPS:
- Prof. dr. Walter Daelemans: understanding and explaining the output of Large Language Models
- Prof. dr. Luna De Bruyne: responsible emotion detection models
Department of Philosophy:
Centre for Ethics:
- Dr. Mayli Mertens : epistemology, bioethics, and ethics of prediction; investigating the relationship between sense-making — through human and artificial cognition — and the physical world
Faculty of Business Economics
Department of Engineering Management:
Applied Data Mining
- Prof. dr. Sofie Goethals
- Prof. dr. David Martens
- Dr. Manon Reusens
- Mateusz Cedro
- Yifan He
- James Hinns
- Wannes Van den Bulck
Department of Management:
Department of Marketing:
- Prof. dr. Lukar Thornton, the role of AI in shaping food practices
Faculty of Design Sciences
Department Product Development
Bhevioural Design Lab
- Prof. dr. Dirk Van Rooy (FOW): dynamics of human interaction with AI-driven autonomous systems, focusing on transparency and trust
Augmented Crafting Lab
- Prof. dr. Jouke Verlinden : augmenting human creativity and design skills with digital technologies
Faculty of Law
Business and Law
- Prof. dr. Jan Blockx : legal implications of the use of artificial intelligence by businesses, including the potential for AI to strengthen competitive or anticompetitive conduct, to benefit or harm consumers, etc.
- Prof. dr. Sylvie De Raedt: legal transparency requirements with regard to AI tools used by public authorities
- Prof. dr. Anne Van de Vijver (FREC): bridging the gap between taxation, ethics, and behavioral science to develop strategies that foster a responsible use of artificial intelligence
- Dr. Anouk Decuypere
- Dr. Joshua Krook
- Dr. Alessia Tomo
- Malek Ferjani
- Benjamin González
- David Hadwick
- Yibo Li
- Ata Türkfiliz
- Kimberly Van Sande
Law & Development:
Faculty of Science
Department of Chemistry:
Modeling and Simulation in Chemistry (MOSAIC)
- Prof. Dr. Jelle Vekeman: computational chemistry, molecular modelling and machine learning potentials
Department of Computer Science:
Adrem Data Lab
- Prof. dr. Wout Bittremieux: personal identifiability and privacy from molecular proteomics and metabolomics data
- Prof. dr. Toon Calders
- Prof. dr. Bart Goethals: data mining, big data analytics, recommendation systems, data cleaning
- Prof. dr. Kris Laukens: bioinformatics and biodata mining
- Prof. dr. Pieter Meysman
- Dr. Charlotte Adams: Privacy in proteomics: Safeguarding personally identifiable information in clinical omics data.
- Dr. Lien Michiels: Evaluation of the impact of recommender systems on society and individuals: filter bubbles, diversity, serendipity
IDLab
- Prof. dr. Steven Latré: hardware-software co-designed machine learning for life science & sensing applications
- Prof. dr. Erik Mannens: ethical & sustainable AI
- Prof. dr. José Oramas: representation learning from visual data, model explanation and interpretation
- Dr. Werner Van Leekwijck: neuromorphic computing, resource-aware representation learning, spiking neural networks
Department of Mathematics:
Applied Mathematics
- Prof. dr. Tim Verdonck: financial, actuarial and economic machine learning applications and robust statistics for anomaly detection
Faculty of Social Sciences
Department of Communication Studies
Media & ICT in Organisations and Societies
- Prof. dr. Gert-Jan de Bruijn : acceptance and effects of AI-driven communication technologies for health and societal issues