To contribute to the body of knowledge aiming at a better coverage of ecosystem service assessment in LCA studies, this thesis dives into the challenges of incorporating existing ecosystem service methods within the impact assessment phase of the conventional LCA framework.

Promotor: Prof.dr. L.J. Slikkerveer

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.

Cardiovascular disease is a major global burden and atherosclerosis is the main underlying pathological process.

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.

Promotor: A. Achúcarro, Co-promotor: A. Boyarsky

Big Science, commonly defined as conventional science made big in three dimensions, namely organizations, machines, and politics, brings a plethora of different stakeholders together, often for a long period of time. This includes policymakers, scientists, (scientific) managers as well as local “host”…

collegereeks duurzaamheid en recht

The next generation of high-contrast imaging instruments on space-based observatories requires sophisticated wavefront sensing and control in addition to a high-performance coronagraph.

Voltammetry plays a crucial role in modern scientific research by offering valuable insights into the electrochemical properties of materials, with wide-ranging applications in fields such as materials science, energy storage, corrosion studies, and sensor development.

Carbon dioxide capture and utilization technologies are necessary to create a truly circular economy. The electrochemical reduction of carbon dioxide to formate is an appealing carbon utilization method as it can be performed at room temperature and pressure, it only requires two electrons, and it has…

Heart failure is a major health care problem with high mortality.

This dissertation is about Bayesian learning from data. How can humans and computers learn from data?

De Faculteit Governance and Global Affairs (FGGA) richt zicht op onderzoek naar maatschappelijke en governancevraagstukken zoals terrorisme, organisatie van het openbaar bestuur, klimaatverandering en economische crises. Hedendaagse onderwerpen worden zowel vanuit een bestuurskundig, politicologisch,…

Promotor: V. Vitelli, Co-promotor: J. Paulose

Throughout the history of computer science, a major challenge has been how to assert that software is free of bugs and works as intended. Software bugs can lead to serious negative impacts on any software system. Throughout the main body of the thesis, we implemented a series of studies on exploring…

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.

New drugs for use as tuberculosis (TB) treatment are needed due to the constrains of classical antibiotics against TB and the rise of antibiotic-resistant strains, making TB a harder and harder disease to treat.

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

Ice, the solid state of water, plays an important role on our planet as well as the entire universe.Despite the fact that an individual water molecule has a very simple structure, its chemical bonding in the solid phase can be surprisingly complex.

Promotor: T. H. Oosterkamp

Developing new medicines is one of modern science's most significant hurdles, a process marked by high costs, long timelines, and frequent failures of promising candidates.

The invention of neural networks marks a critical milestone in the pursuit of true artificial intelligence. Despite their impressive performance on various tasks, these networks face limitations in learning efficiently as they are often trained from scratch.

Promotores: S.F. Portegies Zwart, E. M. Rossi

The research in this thesis is focused on tomographic reconstruction based on two imaging modalities in electron microscopy.

Promotor: C.J. ten Cate

Atherosclerosis is the main underlying pathology of cardiovascular disease. Atherosclerosis is caused by an immune response which is directed against (modified) lipoproteins which accumulate in the vessel wall.

Inverse problems are problems where we want to estimate the values of certain parameters of a system given observations of the system. Such problems occur in several areas of science and engineering. Inverse problems are often ill-posed, which means that the observations of the system do not uniquely…

The lipid membrane is a basic structural component of all living cells. Embedded in this nanometer-thin barrier, membrane proteins shape the membrane and at the same time respond to the shape of the membrane.

Humanity stands at a pivotal juncture, facing the dual challenge of environmental sustainability and rapid population growth, projected to exceed 11 billion by century’s end.

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

This thesis describes the design and development of subunit‐selective inhibitors of particular catalytically active subunits of human constitutive proteasomes and immunoproteasomes.

Promotor: Prof.dr. T. Schmidt

One of the most important correlation functions in physics, especially in cosmology, is the energy density, which describes how much energy is present at each point in spacetime due to matter fields. A key contribution to the energy density of the primordial universe comes from gravitational waves (GWs),…

Promotor: T. Hankemeier, Co-promotor: T.H. Reijmers

Stochastic resetting is simple enough to be approached analytically, yet modifies stochastic processes in a non-trivial way.

Op 11 november 2021 verdedigde Evelien Campfens het proefschrift 'Cross-border Claims to Cultural Objects'. Het promotieonderzoek is begeleid door prof.dr. N.J. Schrijver en prof.dr. W.J. Veraart (VU Amsterdam).

During my PhD research, I studied the photon statistics of light emitted by a microcavity that contains a single quantum dot (QD) on resonance.

Of all the mass in our Universe, 80% is thought to consist of a hypothetical and invisible substance called dark matter (DM).

This thesis applies data mining in commercial settings in the telecommunications industry.

Op 13 oktober 2021 verdedigde Ross Spence het proefschrift 'Collateral Transactions and Shadow Banking'. Het promotieonderzoek is begeleid door promotoren prof.mr. M. Haentjens en prof.dr. A.M. Pacces (UvA).

Promotores: Prof. dr. G.R. (Geert) de Snoo, Dr. E. (Ester) van der Voet

The radio sky harbours both galactic and extragalactic sources of arcminute- to degree-scale emission of various physical origins. To discover extragalactic diffuse emission in the Cosmic Web beyond galaxy clusters, one must image low–surface brightness structures amidst a sea of brighter compact fore-…

Promotores: Bas Edixhoven, Guy Henniart

Promotor: J.P. Abrahams, Co-promotor: T. Grüne

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: K.J. Batenburg

LCA has become an important method to study environmental impacts of human activities. Still, there are several methodological issues in LCA that can adversely affect the results reliability.

This thesis discusses several questions regarding the double ramification cycle as a Chow class on the moduli space of stable n-pointed genus g curves using tools from so-called logarithmic geometry.

A century ago, it was unclear whether the stars in the sky were clustered in groups, or widely spread in the universe.