In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.

Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.

Principles of Environmental Sciences provides a comprehensive picture of the principles, concepts and methods that are applicable to problems originating from the interaction between the living and non-living environment and mankind. Both the analysis of such problems and the way solutions to environmental…

This study’s main aim is to test whether children’s learning behaviour explains why they do not benefit from a literate environment.

The haplolepideous mosses (Dicranidae) comprise about 4000 species distributed over a wide range of habitats, with great gametophytic and sporophytic morphological variation. Their monophyly is well supported by the results of several molecular phylogenetic studies, which shed light on their relationships…

The prevalence of obesity (BMI >40 kg/m2) has increased rapidly over the recent years, not only in adults, but also in children and adolescents.

Promotor: W.Th.F. den Hollander Co-Promotor: F.M. Spieksma

This PhD thesis concerns the topic of arithmetic geometry. We address three different questions and each of the questions in some way is about counting how big some set is or can be.

I have studied the hot, diffuse gas around and between galaxies. Specifically, I have used the EAGLE numerical simulations of galaxy formation to predict the properties of this gas, and I have used those properties to predict specific observables: soft X-ray absorption and emission lines.

The main subject of this thesis is the design and synthesis of paramagnetic molecules for protein studies with NMR and EPR spectroscopy.

Promotor: S.M. Verduyn Lunel, Co-promotor: S.C. Hille

Promotor: Prof.dr. B. van de Water

What physics controls the properties of quantum matter, such as how electrons flow inside high-temperature superconductors? This question has captivated the physics community and industry for decades, in part due to the great technological potential such materials have, but also because they have resisted…

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The thesis introduces three methods for high-dimensional prediction problems in the biomedical field. The methods make use of empirical and variational Bayes in the estimation.

Promotores: R. Tijdeman, K.J. Batenburg

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Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinatorial optimization problems using programmable quantum hardware. In this thesis, various methods are developed and tested to understand how to formulate combinatorial optimization problems for quantum…

Promotores: Prof.dr. J. Zaanen, Prof.dr. K.E. Schalm

Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)

Mechanical metamaterials are man-made materials which derive their unusual properties from their structure rather than their composition.

In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…

Healthcare Information Systems (HIS) are essential for modern healthcare delivery, yet their development faces significant challenges including heterogeneous data formats, regulatory compliance, and the growing demand for AI-driven decision support.

Improvements of weak gravitational lensing shape measurements are presented and some used for data analysis.

The aim of this thesis is to present novel techniques for proving cryptographic schemes secure against quantum adversaries. Most results are within the context of an idealized model called the ‘quantum random-oracle model’.

Promotor: A.W. van der Vaart

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Promotor: Prof.dr. P. Stevenhagen, Co-Promotor: J.H. Evertse

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Statistical distributions in LCA and converting between different representations of these distributions.

The Economics and Governance specialisation of the Master in Public Administration teaches you to formulate problem-solving approaches to concrete policy issues found at the intersection between economics and public administration. This specialisation is a unique joint offering of the Department of…

Electrons in a crystal lattice have properties that may differ from those of a free electron in vacuum.

Less than 1 in 10 drug candidates that enter phase 1 clinical trials actually gets approved for human use.

n this thesis we study curves. In the first half, we study moduli spaces of curves and Gromov-Witten invariants, certain kinds of curves counts. We employ logarithmic geometry for this.

Make more fluid: In condensed matter systems, electrons can acquire unusual properties from their interaction with the atomic lattice.

A neurocognitive investigation of the development of social performance monitoring in youth growing up in stressful versus non-stressful environments

The research presented in this thesis concerns one of the most important questions in software engineering of our time: how can we make sure that software is free from memory safety bugs?

In this dissertation non-parametric Bayesian methods are used in the application of robotic vision.

The thesis is part of a bigger project, the HEPGAME (High Energy Physics Game). The main objective for HEPGAME is the utilization of AI solutions, particularly by using MCTS for simplification of HEP calculations.

Studievoorlichting

This thesis is is made of three parts. The first part describes a generalization of the Chabauty's method, that can be used to determine the rational points of a curve such that s+g>r+1, where g is the genusof the curve, r is the rank of the Mordell-Weil group of the jacobian of the curve and s is…

Quantum computers are a proposed fundamentally new type of computer. They aim to perform some computations much faster than previously possible by exploiting phenomena at the quantum scale, called superposition and entanglement.

My PhD research is devoted to studies of the conjectural cluster-algebraic symmetry in the theory of topological string, which is the simplest, however already non-trivial sector in the theory of string.

This thesis mainly focuses on multimodal understanding and Visual Question Answering (VQA) via deep learning methods. For technical contributions, this thesis first focuses on improving multimodal fusion schemes via multi-stage vision-language interactions.

This thesis describes how complex and real-world relevant analytical solutions can be found starting from a simple Nagumo problem posed on one or two-dimensional lattices.

The main theme of this thesis is the theoretical study of Gaussian processes as a tool in Bayesian nonparametric statistics.