Promotor: G.P. van Wezel, Co-promotor: D. Claessen

Promotores: Prof.dr. J.N. Kok, Prof.dr. C.A. Mandemakers, Co-Promotor: G. Bloothooft

If X is a locally compact Hausdorff space, then a representation of the complex C* algebra C_0(X) on a Hilbert space $H$ is given by a spectral measure that takes its values in the orthogonal projections on $H$.

Promotor: A. Kros

Promotor: Prof.dr. J.G.E.M. Fraaije, Co-promotor: A. Kros

A sustainable resource management is an essential aspect to satisfy the current human needs without compromising the needs of future generations.

Promotores: A.H. Meijer, H.P. Spaink

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

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.

The filamentous bacteria Streptomyces are widespread inhabitants of terrestrial soils.

Promotor: Prof.dr. W.Th.F. den Hollander, Co-promotor: R. Fernandez.

Promotor: Prof.dr. T.H.W. Bäck

In this thesis we study bistable reaction-diffusion equations on lattice domains.

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…

Continuous optimization is never easy: the exact solution is always a luxury demand and the theory of it is not always analytical and elegant.

Supervisor: P.J.J. Hooykaas Co-Supervisor: R. Offringa

This thesis explores Breaking of Ensemble Equivalence (BEE) in random graph models by examining the spectral properties of adjacency matrices. The goal is to identify spectral characteristics that differentiate random graph ensembles, enhancing the understanding of complex network structures and beh…

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…

Filamentous Actinobacteria, such as Streptomyces, produce a plethora of chemically diverse bioactive metabolites that have found applications across medicine, agriculture and biotechnology.

Ethiopian wolves are endangered diurnal Afroalpine rodent hunters. I investigated the interaction between wolves, rodents and human land use in Borena Sayint National Park (BSNP), Abune Yosef and Aboi Gara in Ethiopia.

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.

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

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

The skin is our natural barrier and lipids are a key part of this barrier. In the outer skin layer, the stratum corneum (SC), lipids form a densely organized structure dependent on the composition of these lipids.

This dissertation presents the synthesis and evaluation of antibody recognition for various capsular polysaccharide (CP) fragments of Staphylococcus aureus (S. aureus).

Promotores: F.H.J. Redig, W.T.F. den Hollander

Promotie

Oratie

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Prof.dr. Geert de Snoo wordt per 1 september 2012 decaan van de faculteit der Wiskunde en Natuurwetenschappen van de Universiteit Leiden. De Snoo volgt prof.dr. Sjoerd Verduyn Lunel op. Momenteel is De Snoo hoogleraar Conservation Biology en tevens directeur bij het Centrum voor Milieuwetenschappen…

As a virtually inexhaustible source, solar energy plays a major role in future global energy scenarios.

To this day, all cyclophellitol-based inhibitors and ABPs have been close analogues of their natural substrate counterparts. As a result, these probes showed high selectivity towards their target glycosidases.

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.

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

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…

Synthetic hydrogels that mimic the natural extracellular matrix in the biophysical and biochemical cues it provides to cells are in high demand, however the cell phenotypes as they are observed in vivo in numerous cases have yet to be attained.

Op 7 februari 2019 verdedigde Helena Ursic-Vrabec haar proefschrift 'Uncontrollable: Data subject rights and the data- driven economy'. Het promotieonderzoek is begeleid door promotor prof. dr. S. van der Hof.

The global agri-food system plays a critical role in food security and environmental issues.

Promotores: Prof.dr. G.A. Persoon & Prof. dr. H.H. de Iongh

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

Promotores: Prof.dr. H.J.M. de Groot, Prof.dr. J. Matysik (Universitaet Leipzig)

Actinobacteria are Gram-positive bacteria that have a complex multicellular life cycle and are well known for their ability to produce a wide range of bioactive natural products (NPs).

Promotor: Prof.dr. E. Bouwman, Co-promotor: S. Bonnet

The majority (80%) of e-waste generated globally are recycled informally in developing countries.

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

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…