Researchers

Chairs:

 Prof. dr. Toon Calders and Prof. dr. David Martens

    ■    initiators of ACRAI

    ■    initiators of the DigiTax Centre of Excellence 

    ■    full professor at the Science Faculty (Department of Computer Science), and the Faculty of Business and Economics (Department of Engineering Management) of the University of Antwerp

    ■    supervisor in ADReM Data Lab and research director in the Applied Data Mining research group

    ■    members of Antwerp Tax Academy

    ■    publications Toon Calders - publications David Martens

Members:

Faculty of Applied Engineering

• ​dr. Ali Anwar (FTI): stability, robustness and transparency in data-driven autonomous control systems

Faculty of Arts

• Prof. dr. Walter Daelemans (FLW): understanding and explaining the output of Large Language Models
• dr. Mayli Mertens (FLW): epistemology, bioethics, and ethics of prediction; investigating the relationship between sense-making — through human and artificial cognition — and the physical world
  
• ​prof. dr. Luna De Bruyne: responsible emotion detection models

Faculty of Business Economics:

• ​Prof. dr. Nathalie Dens​
  
• ​Prof. dr. Lukar Thornton, the rol of AI in shaping food practices

Faculty of Design Sciences

• Prof. dr. Dirk Van Rooy (FOW): dynamics of human interaction with AI-driven autonomous systems, focusing on transparency and trust
• ​Prof. dr. Jouke Verlinden:​ augmenting human creativity and design skills with digital technologies

Faculty of Law

• supervisors
  • Prof. dr. Jan Blockx (FREC): 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 (FREC): legal transparency requirements with regard to AI tools used by public authoritie
  • 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
• post doc researchers 
  
  • ​Dr. Anouk Decuypere 
  • ​Dr. Joshua Krook
  • ​Dr. Alessia Tomo​
• doctoral researchers:
  • David Hadwick
  • ​Kimberly Van Sande​
  • ​Yibo Li
  • ​Anne Oloo​

Faculty of Science

• ​Prof. dr. Wout Bittremieux (FWET): personal identifiability and privacy from molecular proteomics and metabolomics data
• ​Prof. dr. Bart Goethals (FWET): data mining, big data analytics, recommendation systems, data cleaning
• ​Prof. dr. Steven Latré (FWET): hardware-software co-designed machine learning for life science & sensing applications
  
• ​Prof. dr. Kris Laukens (FWET): bioinformatics and biodata mining
• ​Prof. dr. Pieter Meysman​
• ​Prof. dr. Erik Mannens (FWET): ethical & sustainable AI
• ​Prof. dr. José Oramas (FWET): representation learning from visual data, model explanation and interpretation
• dr. Werner Van Leekwijck (FWET): neuromorphic computing, resource-aware representation learning, spiking neural networks
  
• Prof. dr. Tim Verdonck (FWET): financial, actuarial and economic machine learning applications and robust statistics for anomaly detection

Faculty of Social Sciences

• ​Prof. dr. Gert-Jan de Bruijn (FSW): acceptance and effects of AI-driven communication technologies for health and societal issues​

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