The complexity of an intelligence problem determines to a great extent the certainty that can be provided by intelligence and security services.

Promotor: Prof.dr. P. Stevenhagen

Promotores: T.H.W. Bäck, Y. Tan, Co-promotor: M.T.M. Emmerich

Promotor: H.W. Lenstra

In this work, I explore the creation of new methods that optimize simulations of the gravitational N-body problem. Specifically, I take advantage of the recent popularity of Machine Learning methods to find tools that can suit this problem.

Inverse problems are problems where we want to estimate the values of certain parameters of a system given observations of the system. Such problems occur in several areas of science and engineering. Inverse problems are often ill-posed, which means that the observations of the system do not uniquely…

Promotor: W.T. de Groot

Promotores: P. Stevenhagen, A. Enge Co-Promotor: T.C. Streng

This study tests whether behavioural problems at a young age are related to early reading and mathematics development.

In this thesis we investigate cosmology and the large scale structure of the Universe using cosmological simulations.

Latent variable modeling of students' solution strategies and performance

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

The increasing competition in the automotive industry requires the tailored, swift development of technologically sophisticated vehicles. Therefore, the computationally expensive state-of-the-art simulation technologies are combined with optimization algorithms. An example of a real-world optimization…

Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.

Promotores: H.W. Lenstra, K. Belabas (University of Bordeaux)

Students with learning problems experience difficulties in reading, writing, and content-area learning into and throughout their secondary-school years

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The class-imbalance problem is a challenging classification task and is frequently encountered in real-world applications. Various techniques have been developed to improve the imbalanced classification performance theoretically and practically.

A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.

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Polymyxins are clinically used antibiotics, discovered in mid-20th century. Once abandoned due to excessive nephrotoxicity, they are now used increasingly to address infections caused by multi-drug resistant Gram-negative bacteria.In this thesis, we describe the development and synthesis of analogues…

Promotores: Prof.dr. H Lenstra, Prof.dr. A Facchini (Padova University)

Promotor: Promotor: W.Th.F. den Hollander, Co-promotor: V. Sidoravicius.

This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.

In dit artikel heeft Lianne Visser bijgedragen aan het begrip rondom samenwerkend bestuur als uitdagende aanpak voor hardnekkige problemen.

This thesis applies data mining in commercial settings in the telecommunications industry.

With the help of quantum mechanics, digital quantum hardware may be able to tackle some of the problems that are too difficult for ordinary computers. But despite these expectations and the ongoing effort of the research community, reliable quantum computers are not yet realized in a lab setting.

Promotor: F.H.J. Redig, Co-Promotor: W.T.F. den Hollander

This thesis investigates the structural evolution and assembly of galaxies since the first few billions years after the big bang.

In this dissertation, we work towards an experiment in which we aim to bring a micrometer sized magnet at the tip of a soft cantilever into a superposition.

We show that Kirchhoff ’s law of conservation holds for non-commutative graph flows if and only if the graph is planar. We generalize the theory of (Euclidean) lattices to infinite dimension and consider the ring of algebraic integers as such a lattice.

Optimally solving real-world expensive Black-Box Optimization (BBO) problems w.r.t. real-world constraints, such as wall-clock time and computational costs, is extremely difficult and tedious.

Het doel van het RAISE Onderzoek is om te onderzoeken hoe veerkrachtige mensen omgaan met stress. We kijken specifiek naar hoe belangrijke biologische systemen, zoals de HPA-as en het immuunsysteem, samenwerken met de hersenen en de sociale omgeving om veerkrachtig functioneren na moeilijkheden in de…

Promotor: Prof.dr. C.W.J. Beenakker

It has been a long-standing mystery how complex biological structures emerge from such seemingly uncoordinated building blocks as cells and tissues, in the presence of only minimal environmental guidance.

This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.

This dissertation is about Bayesian learning from data. How can humans and computers learn from data?

Promotores: P. Stevenhagen, L. van Geemen (Università degli studi di Milano), Co-Supervisor: Ronald M. van Luijk

Promotores: H.W. Lenstra, A. Lucchini

Including modelling as part of software development appears to have various benefits.

Promotor: K.J. Batenburg, Co-promotor: A.W. van der Vaart, B. de Smit

Wat zijn de beste werkwijzen om studenten te leren omgaan met complexe problemen?

Promotores: K.J. Batenburg, B. Koren

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

Why do sexual violence policies still fail to systematically address men and masculinities, when the need for cultural change among men has been central in public debates since #MeToo?

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

Soil is a home for an unbelievable diversity and abundance of microbial life that is essential for supporting life on our planet.

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