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

Promotor: J.N. Kok, P.E. Slagboom Co-promotor: J.F.J. Laros

This thesis investigates the application of deep learning techniques in image analysis across various domains, focusing on four main themes: feature extraction, classification, segmentation, and integration, demonstrating the transformative potential of these technologies.

Modeling and analysis of cyber-physical systems are still challenging. One reason is that cyber-physical systems involve many different parts (cyber or physical), of different nature (discrete or continuous), and in constant interaction via sensing and actuating.

Humans perceive the real world through their sensory organs: vision, taste, hearing, smell, and touch. In terms of information, we consider these different modesalso referred to as different channels of information or modals.

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

Promotors: Prof.dr. T.H.W. Bäck, Prof.dr. B. Sendhoff (Technische Universität Darmstadt)

Promotor: Prof.dr. F.S. de Boer, Co-promotor: D. Clarke

Over the last decades, aviation safety has improved strongly. As a downside, airline pilots do not have as many opportunities to develop through experience the competencies that they need in critical situations.

This thesis involves three topics: benchmarking discrete optimization algorithms, empirical analyses of evolutionary computation, and automatic algorithm configuration.

Promotor: H.J. van den Herik, B.R. Katzy, Co-promotor: K. Sailer

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.

Combinatorial games are games for two competing players, moving in a turn-by-turn fashion, in which there is no chance nor hidden information⁠. Chess, checkers and the simpler tic tac toe are well-known examples of this class of games, as well as game of go⁠.

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

In dit project gebruiken we sociale netwerkanalyse om het gedrag van gebruikers op online fora en bijbehorende marktplaatsen in de tijd te analyseren.

Promotor: Ed F. Deprettere, Co-promotor: Todor P. Stefanov

In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.

De Universiteit Leiden heeft onderzoeksinstituten gevestigd in Leiden en Den Haag.

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DSE 2.0: Naar een optimaal ontwerp van complexe, gedistribueerde cyber-fysieke systemen

Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe

It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.

Lezing

Lezing

Studievoorlichting

Learning from small data sets in machine learning is a crucial challenge, especially when dealing with data imbalances and anomaly detection. This thesis delves into the challenges and methodologies of learning from small datasets in machine learning, with a particular focus on addressing data imbalances…

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

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

Hybride intelligentie (HI) is de combinatie van menselijke en machinale intelligentie, waarbij het menselijk intellect wordt uitgebreid in plaats van vervangen. HI houdt rekening met de menselijke expertise en intentionaliteit bij het nemen van zinvolle beslissingen en het uitvoeren van passende acties,…

We have studied shape with a particular focus on the zebrafish model system. The shape is an essential appearance of the phenotype of a biological specimen and it can be used to read out a current state or response or to study gene expression.

Promoter: Ed F. Deprettere, Co-promoter: Todor P. Stefanov

Tijdens dit project wordt een app over stress ontwikkeld en geëvalueerd. De app heeft drie functies: een informerende, preventieve en herstellende/curatieve functie.

Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich

This dissertation explores how we can make anomaly detection—identifying unusual or faulty behavior in complex systems—more trustworthy and effective, with a focus on smart manufacturing.

Het Gorlaeus Gebouw wordt in drie fasen gerealiseerd. Het nieuwe gebouw is medio 2028 helemaal gereed.

Promotor: F.S. de Boer, Co-promotor: M.M. Bonsangue

Cyberaanvallen, privacygerelateerde problemen of storingen in het functioneren: veel technologieën die dagelijks worden gebruikt, kennen beveiligingsproblemen die worden opgelost als de software al in gebruik is. Een interdisciplinair project, waarin Olga Gadyatskaya, Harry Wijshoff, Alex Uta en Kristian…

Sterrewacht Leiden is het sterrenkundig instituut van de Faculteit der Wiskunde en Natuurwetenschappen van de Universiteit Leiden.

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

A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…

The development process of any software has become extremely important not just in the IT industry, but in almost every business or domain of research.

Multi-criteria optimalisatie is een effectieve techniek voor het vinden van optimale oplossingen die een afweging bieden tussen verschillende, tegenstrijdige criteria. Het heeft zijn toepassing gevonden in de wereld om ons heen omdat bij het oplossen van praktische, re¨ele wereld problemen men gewoonlijk…

Vroege opsporing van gezondheidsrisico's Landbouwvoedingsmiddelen variëren van nature in hun gedetailleerde interne structuur. Om de vroege opsporing van gezondheidsrisico's als gevolg van besmetting of ziekten te vergemakkelijken, de rijpheid te voorspellen en de verspilling te minimaliseren, is het…

Multi-objective evolutionary computation aims to find high quality (Pareto optimal) solutions that represent the trade-off between multiple objectives.

This thesis surveys the intersection of computed tomography (CT) and machine learning (ML), treating CT as an ill-posed inverse problem shaped by object properties, imaging physics, and data limitations.

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…

Video games have emerged as one of the most interesting media of the turn of the century. The peculiar characteristic of video games is the biunivocal interaction between the computer and the human player.

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.