- Work address
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Sint-Pietersnieuwstraat 41, Technicum blok 4
9000 Gent - Geert.Verdoolaege@UGent.be
- ORCID iD
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0000-0002-2640-4527
- Bio (via ORCID)
- Geert Verdoolaege obtained the M.Sc. degree in theoretical physics in 1999 and the Ph.D. in engineering physics in 2006, both at Ghent University (UGent, Belgium). His Ph.D. work concerned applications of Bayesian probability theory to plasma spectroscopy in fusion devices. He was a postdoctoral researcher in the field of computer vision at the University of Antwerp (2007-2008), working on probabilistic modeling of image textures using information geometry. From 2008 to 2010 he was with the department of Data Analysis at UGent, where he worked on modeling and estimation of brain activity, based on functional magnetic resonance imaging. In 2010 he returned to the department of Applied Physics at UGent, first as a postdoctoral assistant and from 2014 onwards as a part-time assistant professor. Since 2013 he holds a cross-appointment as a researcher at the Laboratory for Plasma Physics of the Royal Military Academy (LPP-ERM/KMS) in Brussels. His research activities comprise development of advanced data analysis techniques (probability theory, machine learning, information geometry) and their application in fusion experiments. He also teaches a master course on continuum mechanics at Ghent University.
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- Conference Paper
- open access
A Bayesian approach for estimating the kinematic viscosity model in reversed-field pinch fusion plasmas
(2023) -
Recent progress in L-H transition studies at JET : tritium, helium, hydrogen and deuterium
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- Journal Article
- A1
- open access
DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy
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Exploring data-driven models for spatiotemporally local classification of Alfven eigenmodes
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Monitoring of two-dimensional tungsten concentration profiles on the HL-2A tokamak
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Integrated data analysis on the electron temperature profile of HL-2A with the Bayesian probability inference method
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- Conference Paper
- C3
- open access
Predictive maintenance in fusion devices with an application to the Ohmic heating circuit at JET
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- Conference Paper
- C3
- open access
Improving irregular ELM detection with machine learning
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- Conference Paper
- C3
- open access
Bayesian integrated estimation of tungsten concentration at WEST using soft X-ray spectroscopy
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- Journal Article
- A1
- open access
Overview of JET results for optimising ITER operation