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.

The filamentous bacteria Streptomyces are widespread inhabitants of terrestrial soils.

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

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

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

Monoacylglycerol lipase (MAGL) is the principal enzyme responsible for hydrolysis of the endocannabinoid 2-arachidonoylglycerol (2-AG). MAGL inhibition provides several potential therapeutic opportunities, including anti-nociceptive, anti-inflammatory and anti-cancer activity.

This thesis explores how bees and hoverflies are distributed across the Dutch landscape and how ecological and landscape factors shape their occurrence.

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…

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

The vegetative growth period for leafy vegetables like lettuce is essential for yield and quality.

Lezing

This thesis examines strategies to address the global threat of antimicrobial resistance (AMR). Antimicrobial resistance poses an increasing global health risk, highlighting the need for new treatments against Gram-negative pathogens.

Er zijn veel studies waarmee je kunt instromen in de master Health, Ageing and Society! Veel gezondheidsgerelateerde opleidingen zijn direct toelaatbaar, maar je bent ook welkom met een andere studieachtergrond.

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

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

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.

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.

Cryogenic electron microscopy (cryo-EM) is a powerful technique used to visualize the inside of cells and to study specific protein complexes. Within this thesis, I describe the use of various cryo-EM techniques to gain insight into the structural changes of the human pathogen, Vibrio cholerae, as it…

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.

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

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.

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

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

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).

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…

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

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

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

All the data stored and processed by our computers is encoded as sequences of zeros and ones, called bits. Quantum computers offer an alternative to this traditional way of encoding and manipulating information.

Computers zijn in staat om ongelooflijk nauwkeurige voorspellingen te doen op basis van machine learning. Met andere woorden, deze computers kunnen zonder tussenkomst leren als ze eenmaal door mensen zijn voorgeprogrammeerd. Bij LIACS verkennen en verleggen we de grenzen van wat een revolutionaire nieuwe…

Human AI is waar kunstmatige intelligentie en machine learning samenkomen met filosofie, cognitieve wetenschap en de creatieve kunsten. Voorbeelden van onderzoeksvragen in dit domein zijn: ‘Kan een algoritme naar menselijke maatstaven creatief zijn?', 'Kunnen creatieve processen, zoals het componeren…

Learning a programming language is challenging. Even one of the first –but crucial– concepts to learn, variables, is hard to grasp. Variables can represent different roles and functions within a code and need to be named appropriately to support code comprehension and debugging.

Je kunt aan de Universiteit Leiden Kunstmatige Intelligentie studeren, maar ook binnen andere opleidingen speelt het een steeds grotere rol.

The aims of the project are to: further clarify 'inhibition by safety'; explore and describe all possible sagety factors, with a special focus on the primary human safety source: social connectedness; reviewing prolonged stress responses without stressors.

This thesis describes the synthesis, analysis of various tetrazine bearing compounds and use in bioorthogonal chemistry.

Het project XAIPre (spreek uit als

How do you engage society to stop biodiversity loss? How do you create political and social involvement to deal with climate change? And how do you balance the economic needs of industry with the negative effects of pollution? If you find these kinds of questions interesting, then this Pre-University…