De NAM maakte eind juni bekend dat het in beroep gaat bij de Raad van State tegen het besluit van minister Kamp om de gaswinning te beperken. Voor BNR reageert Arco Timmermans, Bijzonder Hoogleraar Public Affairs aan de Universiteit Leiden, op het gevolg voor het imago van de NAM na deze beslissing.

Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.

Automated Machine Learning (AutoML) is widely used to automatically build a suitable practical Machine Learning (ML) model for an arbitrary real-world problem, reducing the effort of practitioners in the ML development cycle for real-world applications. Optimization is a key part of a typical AutoML…

CT scanning of skeletal remains can tell us about how strong or weak a persons bones were and we can relate that back to diet, activity, and reproductive factors.

This thesis concerns the relation bettween the good reduction of Shimura varieties and the associated loop groups.

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)

Met microscopie kunnen we het leven beter begrijpen en ziektes beter bestrijden. Het nieuwe NL-BioImaging netwerk gaat daarvoor de modernste technologieën en diensten ontwikkelen. Universiteit uit heel Nederland, waaronder de Universiteit Leiden en het Leids Universitair Medisch Centrum, bundelen hun…

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.

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

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…

Het onderzoek in het natural computing cluster omvat theoretische fundamenten, de ontwikkeling van nieuwe algoritmen en interdisciplinaire toepassingen van natuurlijke computermethoden. De drijvende kracht achter hun onderzoek is de missie om het begrip van natuurlijke systemen als rekenmodellen te…

Op 21 oktober 2021 verdedigde Frederik Behre het proefschrift 'A European Ministry of Finance?'. Het promotieonderzoek is begeleid door promotor prof.dr. S.C.G. Van den Bogaert.

Het onderwerp van dit proefschrift is integratie van klinische kennis en kennis van de basisvakken in het medisch onderwijs en de rol die concept maps kunnen spelen in het expliciet maken van deze zogenoemde verticale integratie.

Leren gaat het makkelijkst vanuit interesse. Maar die interesse is vaak meervoudig, en waaiert diverse kanten uit, stelt Sanne Akkerman, hoogleraar Onderwijswetenschappen. Hoe richt je het onderwijs daarop in? Oratie op 6 oktober.