In some condensed matter systems, such as the surface of a 3D topological insulator, the electrons are effectively massless and we must necessarily use the massless Dirac equation to describe them.

This dissertation is a collection of four research articles devoted to the study of Kummer theory for commutative algebraic groups.

Promotor: Prof.dr. A. Doelman, Co-promotor: V. Rottschäfer

This thesis focuses on addressing four research problems in designing embedded streaming systems.

Promotor: Prof.dr. B.R. Katzy, Prof.dr. H.J. van den Herik, Prof.dr. G.H. Baltes (University of Applied Sciences Konstanz)

Promotores: S.J. Edixhoven, P.Parent

Promotor: Prof.dr. S.F. Portegies Zwart

Promotor: Prof.dr. K.J. Batenburg

Radiography is an important technique to inspect objects, with applications in airports and hospitals. X-ray imaging is also essential in industry, for instance in food safety checks for the presence of foreign objects.

Promotor: Prof.dr. P.C. van Welzen

Promotor: K.J. Batenburg

The Copenhagen interpretation of quantum mechanics states that a measurement collapses a wavefunction onto an eigenstate of the corresponding measurement operator.

Wat zijn de belangrijkste thema's in het uitvoeren van systemen voor bio-energie ?

In this thesis, topics relating to the optimization of high-throughput pipelines used for imaging are discussed. In particular, different levels of implementation, i.e., conceptual, software, and hardware, are discussed and the thesis outlines how advances on each level need to be made to make gains…

Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.

We present an extensive study of methods for exactly solving stochastic constraint (optimisation) problems (SCPs) in network analysis. These problems are prevalent in science, governance and industry.

Building a Deep Cross-media Transfer Network to extract visual relations that relieve the problem of insufficient training data for visual tasks.

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…

In this Yearbook you will find some fascinating examples of what was done in 2021, not only by ourselves, but also by our international colleagues.

Materials balances have been used in the recent past for the analysis of substance oriented environmental problems and the formulation of measures for environmental policy. In this study an integrated tool, based on the materials balance principle, has been developed for the analysis of both environmental…

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

Promotor: Prof.dr. W.T.F. den Hollander

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.

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: H.W. Lenstra, B. Erez, Co-promotor: L. Taelman

Promotor: S.M. Verduyn Lunel, Co-Promotor: O.W. van Gaans

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.

Machine Learning is becoming a more and more substantial technology for industry.

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.

Promotor: K.E. Schalm, Co-promotor: S.S. Lee

In this thesis, deep learning is studied from a statistical perspective. Convergence rates for the worst case risk bounds of neural network estimators are obtained in the classification, density estimation and linear regression model.

Promotor: R.D. Gill, F. Taroni

In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.

Als kennisinstellingen, gemeente, burgers en andere partijen of organisaties elkaar onvoldoende weten te vinden, komt kennis niet voldoende ten goede aan de samenleving. Het Leiden Healthy Society Center heeft de ambitie om kennis, beleid en praktijk duurzaam met elkaar te verbinden. Zo willen we onderwijs…

This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…

Promotor: R. Tijdeman, Co-promotor: H.J.J. te Riele

This project uses archaeological, literary and epigraphic evidence to investigate urban development in Roman-period North Africa, compiling this in a GIS-linked database in order to analyse the development of urban settlement spatially over time.

A critical look at the impact assessment modelling of metals in Life Cycle Impact Assessment and improvement options.

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…

Promotie

Promotor: S.J. Edixhoven, Co-promotor: K.J. Batenburg

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.

Promotor: F. Arbab, R. De Nicola, Co-Promotor: M. Tribastone

Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek

Op 11 november 2021 verdedigde Mariana Gkliati het proefschrift 'Systemic Accountability of the European Border and Coast Guard'. Het promotieonderzoek is begeleid door promotoren prof.dr. P. Rodrigues en prof.dr. L. Besselink (UvA).

On a structural level, the properties featured by a majority of mechanical metamaterials can be ascribed to the finite number of soft internal degrees-of freedom allowing for low-energy deformations.

Promotores: J. Kok, M. Chaudron (Chalmers University)