De ontwikkeling en implementatie van een schaalbare, veilige en geïntegreerde infrastructuur van waterstof te bevorderen ter ondersteuning van de energietransitie.

LIBC PUBLIEKSDAG 'ONZEKERE TIJDEN; EEN STRUIKEBLOK OF SPRINGPLANK?' (in Dutch)

Promotie

The aim of this thesis is to expedite and ensure the systematic accuracy of clearance scaling from adults to paediatric patients, with a special focus on drugs undergoing hepatic metabolism.

In this thesis the links between allergy and intestinal health, the gut microbiome (GM), and external factors were studied by exploring the metabolome in longitudinal clinical studies and in vitro models.

In dit project wordt onderzocht hoe onderzoek in de leeromgeving (Research Based Learning of RBL) studenten kan stimuleren om zelf onderzoek te gaan doen. Ook wordt gekeken naar het effect van RBL op het vermogen van studenten om kritisch te denken en op hun academische vaardigheden.

Simone van der Hof, Hoogleraar Recht en de Informatiemaatschappij bij eLaw, en Mohammed Raiz Shaffique, onderzoeker en promovendus bij eLaw, hebben een onderzoeksrapport gepubliceerd over leeftijdsborging (‘age assurance’) voor de Europese Commissie.

Prikkelende vragen stellen om de verdieping op te zoeken, zo ziet Stella Trompet haar studenten groeien. Ze is docent bij de halve minor en master Health, Ageing and Society van het LUMC/Universiteit Leiden. Haar enthousiasme brengt ze over op haar studenten, want ouderen zitten niet achter de geraniums,…

Promotor: H.J.A. Rottgering, Co-Promotor: R.J. van Weeren

Discover the master program population Health Management at Leiden University and contribute to a more integrated health care system. Learn more!

Promotie

Book talk

Promotor: Prof.dr. H.J.M de Groot, Co-Promotor: A. Alia

This research delves into a region of space known as the interstellar medium (ISM), which is essentially the area between the stars filled with gas and dust.

The Vallesian, 11.1-9 Ma, was a special time in the Vallès-Penedes basin near Barcelona, where a biodiversity hotspot existed. Europe had a subtropical climate, with rhinos, forest giraffes, lions, hyenas, flying squirrels and primates.

This dissertation is an experimental study of laser-generated, atmospheric pressure, transient toroidal helium plasmas.

Quantum hardware comes with a different computing paradigm and new ways to tackle applications. Much effort has to be put into understanding how to leverage this technology to give real-world advantages in areas of interest for industries such as combinatorial optimization or machine learning.

For optimization problems, it is often unclear how to choose the most appropriate optimization algorithm. As such, rigorous benchmarking practices are critical to ensure we can gain as much insight into the strengths and weaknesses of these types of algorithms.

Promotor: S.M. Verduyn Lunel

In this work, we attempt to answer the question:

International trade has played a major role in defining the modern global economy. Trade, however, entangles the environmental pressures of economic sectors, giving the illusion of environmental improvements, while the opposite may be occurring.

Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek

The subject of this thesis, ‘Approach to Markov Operators on Spaces of Measures by Means of Equicontinuity’, combines an analytical and probabilistic approach to Markov operators.

A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.

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.

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

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.

Promotor: G.P. van Wezel, Co-Promotor: E. Vijgenboom

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

Promotor: Prof.dr. T.H.W. Bäck

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

This thesis investigates how quantum, quantum-inspired, and hybrid quantum-classical computation can enhance key points of the automated machine learning (AutoML) pipeline under the constraints of noisy intermediate-scale quantum (NISQ) devices.

Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.

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

A tidal basin is an inland sea which is almost entirely enclosed by land and connected to the open sea by a tidal inlet. Through the tidal inlets interaction takes place between the tidal basin and the open sea.

Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.

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

Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.

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…

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,…

Onze AI-wetenschappers werken nauw samen met onder andere de TU Delft en de Erasmus Universiteit.

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.