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Michael Biehl: supervision of PhD thesis projects
On-going
Local
Significant supervision (unless otherwise specified as 'first promotor')
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Mariya Shumska
(LinkedIn)
Investigation of brain pathophysiology for classification
of movement disorders from fMRI data/i>
second promotor, first promotor: Marina de Koning-Tijssen
Funding: NWO Open Technology Programme (OTP 2022)
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Alma Socoro Torres-Torres
(ResearchGate)
Informative Magnetic Resonance Imaging (MRI) biomarkers to detect essential tremor
second promotor, first promotor: Marina de Koning-Tijssen
Funding: UMCG, Movement Disorders
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Otavio Citton
(UG staff page)
Architectures and
activation functions for sparsity in layered networks.
financed through CogniGron - Groningen Cognitive
Systems and Materials Center
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Roland Veen
(UG staff page)
Supervised and unsupervised machine learning: algorithm
development and biomedical applications.
Funding: Faculty of Science and Engineering
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Frederieke Richert
(UG staff page)
The role of the activation functions in layered learning systems
Funding:
NWO M1 grant (2020)
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Sofie Lövdal
(linkedin)
Machine Learning Based Classification of Neurodegenerative Disorders
co-supervisors: R. Dierckx,
K. Leenders,
S. Meles
Funding:UMCG, Neurology
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Elina van den Brandhof
(UMCG, NEMO)
Machine Learning Based Classification of Movement Disorders
second promotor, first promotor: Marina de Koning-Tijssen
Funding: UMCG, Movement Disorders
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Htet Htet Htun (staff page)
Machine Learning and Pattern Recognition for
Predictive Analysis of Financial Time Series
Main supervision: Nicolai Petkov
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Aleke Nolte (UG staff page)
Developing novel machine learning models for object recognition
and classification in astronomy
Funding: SUNDIAL, H2020 Innovative Training Network
External
Completed
Supervised (as promotor at the University of Groningen, if not specified otherwise)
(year of completion and link to thesis archive)
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Sreejita Ghosh (2021) (personal website)
Intrinsically interpretable machine learning in computer aided diagnosis
Main supervision: Kerstin Bunte
Funding: Faculty of
Science and Engineering
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David Nebel (2020)
Median Variants of Prototype Based Learning Vector Quantization:
Methods for Classification of General Proximity Data
daily supervisor: Thomas Villmann (Univ. of Applied Sciences Mittweida)
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Godliver Owomugisha (2020)
Computational intelligence and modeling crop disease data in Africa
daily supervisors:
E. Mwebaze and J. Quinn (Makerere Univ., Kampala, Uganda)
Best Thesis Award 2020, Groningen Engineering Center
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Mandy Lange-Geisler (2019)
Hebbian learning approaches based on general inner products
and distance measures in non-Euclidean spaces
daily supervisor: Thomas Villmann (Hochschule Mittweida, Germany)
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Matthias Gay (2017)
Sparsity
and random projections in time-frequency-based communication systems:
Theory and algorithm design for the OFDM physical layer
co-supervisors: Alexander Lampe, Thomas Villmann (Hochschule Mittweida, Germany)
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Gert-Jan de Vries (2014)
Modeling Affective
State using Learning Vector Quantization
co-supervisor: Steffen Pauws (Philips, Eindhoven, The Netherlands)
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Ernest Mwebaze (2014)
Divergences for prototype-based classification
and causal structure discovery:
Theory and application to natural datasets
daily supervisor: John Quinn (Makerere University, Kampala, Uganda)
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Sven Haase (2014)
The application of divergences in prototype based vector
quantization
daily supervisor: Thomas Villmann (Hochschule Mittweida, Germany)
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Tina Geweniger (2012)
Fuzzy
variants of prototype based clustering and classification algorithms
daily supervisor: Thomas Villmann (Hochschule Mittweida, Germany)
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Dietlind Zühlke (2012)
Vector quantization based learning algorithms for mixed data types
and their application in cognitive support systems for biomedical research
co-supervisor: Thomas Villmann (Hochschule Mittweida, Germany)
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Kerstin Bunte (2011)
Adaptive
dissimilarity measures, dimension reduction and visualization
co-supervisor: Nicolai Petkov (University of Groningen, The Netherlands)
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Petra Schneider (2010)
Advanced
methods for prototype-based classification
co-supervisor: Nicolai Petkov (University of Groningen, The Netherlands)
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Aree Witoelar (2010)
Statistical
physics of Learning Vector Quantization
co-supervisor: Nicolai Petkov (University of Groningen, The Netherlands)
Co-supervised at the University of Groningen
(year of completion and link to pdf or author's webpage)
Supervised at the University of Würzburg
(year of completion and link to pdf where available)
Co-supervised at the University of Würzburg
(year of completion and link to pdf where available)
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Enno Schlösser (2000)
Untersuchung
und Optimierung von Lernvorgängen in adaptiven Algorithmen
supervisor: Wolfgang Kinzel (Univ. Würzburg, Germany)
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Stefan Schinzer (1999)
Kinetic
Monte Carlo Simulations of Crystal Surfaces (Shaker Verlag, 2000)
supervisor: Wolfgang Kinzel (Univ. Würzburg, Germany)
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Peter Riegler (1997)
Dynamics of On-line Learning in Neural Networks
supervisor: Wolfgang Kinzel (Univ. Würzburg, Germany)
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Andreas Mietzner (1995)
Statistische Mechanik unüberwachten Lernens in neuronalen Netzwerken
supervisor: Wolfgang Kinzel (Univ. Würzburg, Germany)