Faculty of Applied Engineering
βDepartment of Electronics and Information and Communication Technologiesβ
βIDLab:β
- βDr. Ali Anwar: stability, robustness and transparency in data-driven autonomous control systems
Faculty of Arts
βDepartment of Linguisticsβ
βCLiPS:β
- Prof. dr. Walter Daelemans: understanding and explaining the output of Large Language Models
- βProf. dr. Luna De Bruyne: responsible emotion detection models
βDepartment of Philosophy:β
βCentre for Ethics:β
- Dr. Mayli Mertens : epistemology, bioethics, and ethics of prediction; investigating the relationship between sense-making β through human and artificial cognition β and the physical world
Faculty of Business Economics
βDepartment of Engineering Management:β
βApplied Data Miningβ
- βProf. dr. Sofie Goethals
- βProf. dr. David Martens
- ββΆΔDr. Manon Reusens
- βMateusz Cedroβ
- βYifan Heβ
- βJames Hinnsβ
- βWannes Van den Bulckβ
βDepartment of Management:
βDepartment of Marketing:
- βProf. dr. Lukar Thornton, the role of AI in shaping food practices
- βDr. Berre Deltommeβ
Faculty of Design Sciences
βDepartment Product Development
βBehavioural Design Lab
- βProf. dr. Dirk Van Rooy: dynamics of human interaction with AI-driven autonomous systems, focusing on transparency and trustβ
- βDr. Doreen Jirakβ
βSMART Lab:β
- ββΆΔProf dr. Jelle Saldienβ
βAugmented Crafting Labβ
- βProf. dr. Jouke Verlinden :β augmenting human creativity and design skills with digital technologies
Faculty of Law
βBusiness and Lawβ
- 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
- βProf. 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
- βDr. Anouk Decuypere
- βDr. Joshua Krook
- βDr. Alessia Tomo
- βMalek Ferjaniβ
- βBenjamin GonzΓ‘lez
- βYibo Liβ
- βAta TΓΌrkfiliz
- βKimberly Van Sandeβ
βLaw & Development:β
- βAnne Oloo
β
Faculty of Science
βDepartment of Chemistry:
βModeling and Simulation in Chemistry (MOSAIC)β
- Prof. Dr. Jelle Vekeman: computational chemistry, molecular modelling and machine learning potentials
βDepartment of Computer Scienceβ:β
βAdrem Data Labβ
- βProf. dr. Wout Bittremieux: personal identifiability and privacy from molecular proteomics and metabolomics data
- βProf. dr. Toon Calders
- βProf. dr. Bart Goethals: data mining, big data analytics, recommendation systems, data cleaning
- βProf. dr. Kris Laukens: bioinformatics and biodata miningβ
- βProf. dr. Pieter Meysman
- βDr. Charlotte Adams: Privacy in proteomics: Safeguarding personally identifiable information in clinical omics data.
- βDr. Lien Michiels: Evaluation of the impact of recommender systems on society and individuals: filter bubbles, diversity, serendipity
βIDLab
- βProf. dr. Steven LatrΓ©: hardware-software co-designed machine learning for life science & sensing applications
- βProf. dr. Erik Mannens: ethical & sustainable AI
- βProf. dr. JosΓ© Oramas: representation learning from visual data, model explanation and interpretation
- βDr. Werner Van Leekwijck: neuromorphic computing, resource-aware representation learning, spiking neural networks
β
βDepartment of Mathematics:
βApplied Mathematicsβ
- Prof. dr. Tim Verdonck: financial, actuarial and economic machine learning applications and robust statistics for anomaly detection
Faculty of Social Sciences
βDepartment of Communication Studiesβ
βMedia & ICT in Organisations and Societiesβ
- βProf. dr. Gert-Jan de Bruijn : acceptance and effects of AI-driven communication technologies for health and societal issuesβ