Prof. Tom Dhaene
Biography
Tom Dhaene is a Senior Full Professor at Ghent University (Belgium) in the Internet Technology and Data Science Lab (IDLab) of the Faculty of Engineering and Architecture (FEA), where he has been on the faculty since October 2007. He heads the SUMO Lab research group and is affiliated with imec, a leading R&D and innovation hub in nanoelectronics and digital technologies.
He gained industrial experience from 1993 to 2000 at Alphabit (an imec EDA spin-off), Hewlett-Packard, and Agilent Technologies (now Keysight Technologies), and subsequently held an academic position as Assistant Professor at the University of Antwerp (2000–2007).
His research focuses on data-efficient Machine Learning (DE-ML) for engineering, including active learning, surrogate modeling and digital twins, (Bayesian) optimization, system identification, rational macromodeling, and numerical analysis techniques, with applications to high-speed electronic and photonic systems.
He teaches Machine Learning to engineering master’s students. As author or co-author, he has contributed to over 500 peer-reviewed publications in international journals, conference proceedings, and books. He has supervised more than 25 completed PhD dissertations and is holder of 8 patents. His work has received more than 16,000 citations, and his Google Scholar h-index is 60.
Research Interests
- Data-Efficient Machine Learning (DE-ML) [Surrogate Models (SUMO), Digital Twins (DT), Gaussian Processes (GP), Bayesian Optimization (BO)]
- Microwave and RF engineering [Electronic/Photonic Design Automation (EDA/PDA), High-Speed Interconnect and Packaging, Signal Integrity and Power Integrity (SI/PI), Computational ElectroMagnetics (EM)]
- Experimental Design [Design of Experiments (DOE), Active Learning (AL)]
- Numerical techniques [Model Order Reduction (MOR), Optimization]
- System and Control Theory [Frequency-Domain System Identification, Macromodeling, LTI Systems]
Publications