Constraint multi-objective optimization with a limited budget for function evaluations is challenging. This thesis tackles this problem by proposing new optimization algorithms. These algorithms are applied on holistic ship design problems. This helps naval architects balance objectives like cost, efficiency,…

Promotor: J.N. Kok, Co-promotor: C.M. Soares, A.J. Knobbe

Promotor: Prof.dr. J.N. Kok, Co-promotor: A.J. Knobbe

This thesis addresses the problem of designing performance and energy efficient embedded streaming systems, that is, systems which process a stream of input data coming from the environment and generate a stream of output data going into the environment.

Dit project ontwikkelt een wetenschappelijke methode om klinisch relevante nieuwe informatie te extraheren uit patiëntenforum-websites die ervaringen van patiënten bespreken over bv. medicatie, voeding, co-morbiditeiten, genetische factoren enz.

Innovation plays an essential role in firms' competitiveness and long-term success. It varies from different types, ranging from run-of-the-mill innovation that brings incremental changes to existing technologies to radical innovation that breaks from existing trajectories.

The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.

Promotores: J.N. Kok, H.J. Hoogeboom

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

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: Prof.dr.ir. E. Deprettere

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

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

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

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.

Promotores: Prof.dr. B.R. Katzy, Prof.dr. K. Sailer (Munich University)

With the advent of multicore processors and data centers, computer hardware has become increasingly parallel, allowing one to run multiple pieces of software at the same time on different machines. Coordination of these pieces is best expressed in a coordination language as an explicit interaction protocol…

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.

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

Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.

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. B.R. Katzy, Prof.dr. J. de Vries

In multi/many-core System-on-Chips (SoCs), the performance is almost linearly scaling with the number of processing elements.

Studievoorlichting

Promotor: Prof.dr. J.N. Kok, Co-Promotor: W.A. Kosters

This dissertation presents the results of the importance of creativity for ICT-students of Dutch universities of applied sciences (in Dutch: hogescholen), and the functioning of training courses that aim to promote creative abilities is highlighted.

Technologies that help to enhance our educational environments can be found everywhere.

Studievoorlichting

Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…

Studievoorlichting

Human language is constantly evolving with its linguistic structure being shaped by language users at both individual and population levels. Focusing on the interplay between processes of language acquisition and communicative need in shaping human languages, this thesis introduces a novel computational…

This dissertation advances automated negotiation by developing agents that can learn and adapt across diverse negotiation settings through three increasingly sophisticated approaches: automated algorithm configuration, portfolio-based strategy selection, and end-to-end reinforcement learning with graph…

Heb je nog vragen over de opleiding Informatica? Neem dan gerust contact met ons op!

Lezing

Lezing

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.

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.

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

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.

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,…

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…

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

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…