Tom Dhaene is Full Professor at Ghent University in the Department of Information Technology (INTEC-IDLab) of the Faculty of Engineering and Architecture (FEA). He is also affiliated with imec.

As author or co-author, he has contributed to more than 500 peer-reviewed papers and abstracts in international conference proceedings, journals and books. He is the holder of 5 U.S. patents. His machine learning software (SUMO toolbox) and simulation software is successfully used by academic, government and business organizations worldwide.

His current research interests include data-efficient machine learning, surrogate modelling, Gaussian processes, Bayesian optimization, and system identification.

Expertise: data-efficent machine learning, digital twins