- 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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Validation of a Bayesian method for current tomography at WEST
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- Conference Paper
- C3
- open access
A software library for robust ELM detection
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- Journal Article
- A1
- open access
Summary of the 5th IAEA technical meeting on fusion data processing, validation and analysis (FDPVA)
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Improved magnetic equilibrium reconstruction and diagnostic optimization using Bayesian methods on the WEST tokamak
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Bayesian techniques for design optimization of magnetic diagnostics and validation on the WEST tokamak
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An optimization method for ITER radial x-ray camera line-of-sight design basing on Bayesian uncertainty analysis
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A Bayesian approach for the selection of predictor variables in the L-H power threshold scaling in metal-wall machines
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Predictive maintenance in fusion devices : estimating the remaining useful life of plasma-facing component units using a similarity-based approach
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- Journal Article
- A1
- open access
Reconstruction of tungsten concentration in WEST plasma core with machine learning
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Bayesian inference of 2D tungsten concentration profiles at WEST using soft X-ray and bolometer diagnostics