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…

This thesis focused on the exploration of monolayer graphene as a membrane in direct methanol fuel cell (DMFC) applications, with improvements achieved through plasma exposure or damage- free chemical functionalization.

This thesis describes the antimicrobial discovery strategy developed in our group, the den Hertog Group at the Hubrecht Institute. It includes a cultivation-based screening approach for novel antimicrobial agents from the source of fungi, and a bacterial time-lapse imaging approach for antimicrobial…

Photocatalysis has emerged as a powerful tool for enabling challenging transformations in organic synthesis. This thesis explores the development of several photocatalytic reactions designed to form carbon-heteroatom bonds from less-functionalized precursors.

This dissertation was to develop effective graphene-based nanofluidic devices by developing scalable fabrication methods and elucidating proton transport mechanisms.

This thesis comprises the development of reproducible synthesis procedures for two-dimensional materials (composed of boron, nitrogen and carbon) on different metallic surfaces.

Human vocal communication and music perception represent advanced cognitive skills, seemingly innate and universal. These faculties encompass a range of perceptual and cognitive abilities. Cross-species research sheds light on the origins of musicality by investigating whether these traits are shared…

My PhD research is devoted to studies of the conjectural cluster-algebraic symmetry in the theory of topological string, which is the simplest, however already non-trivial sector in the theory of string.

The aim of this thesis was to develop novel treatment strategies for different types of eye melanoma utilizing zebrafish models. We first establish orthotopic and ectopic xenograft models for uveal and conjunctival melanoma by engraftment of the immortalized cells derived from these tumors into zebrafish…

This thesis describes the design, synthesis, and immunological evaluation of varying (neo)antigenic peptide conjugates containing either a TLR2 or a TLR7 agonist.

This thesis introduces the concept of

In this PhD study, I aim to deepen our understanding of the influence of major mycorrhizal types, namely arbuscular mycorrhizae (AM) and ectomycorrhizae (EM), on the global soil carbon cycle and their potential distribution changes under future environmental shifts.

This thesis studies operator-algebraic aspects of subproduct systems, a generalization of product systems of Hilbert spaces.

Indonesia is experiencing various environmental challenges related to its fast economic growth. Therefore, it is necessary to have measurable and applicable indicators to obtain accurate data and information regarding the costs of adverse environmental impacts arising from economic activities to support…

The application of nanomaterials in industrial processes and consumer products provides many societal benefits, but can also lead to the release of nanomaterials into the environment. The work in this dissertation aims to provide insights into the potential environmental impacts that may follow from…

The parabolic Anderson model (PAM), which is the Cauchy problem for the heat equation with random potential. The PAM is a mathematical model that describes how mass (i.e. matter or energy) flows in a medium in the presence of a field of sources and sinks.

Humans share meaning through language. Over time, repeated interactions have shaped languages into forms that match our cognitive preferences, making them structured, expressive, easy to learn, and ultimately, meaningful.

This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…

Reinforcement learning is a framework that enables agents to learn in a manner similar to humans, i.e. through trial and error. Ideally, we would like to train a generalist agent capable of performing multiple tasks and achieving various goals.

This doctoral thesis is an effort to understand how lipid phase-separation induced by diacylglycerol analogues in lipid-based nanoparticles affects their in vivo behavior, leading to specific nanoparticle-protein communications and selective cell targeting.

We use DNA strands to stabilize few-atom silver clusters, which show unique optical and chemical properties. This thesis involves the study of these constructs for various applications.

In eight chapters, the thesis of Rafaël Vos covers the effect of temperature and pressure on the electrochemical CO2 reduction.

The thesis is about the study of shell evolution of the Hydrocenidae of the genus Georissa. This thesis started with a general overview on the evolutionary process of animals due to ecological changes.

Transport inspectorates are looking for novel methods to identify dangerous behavior, ultimately to reduce risks associated to the movements of people and goods. We explore a data-driven approach to arrive at smart inspections of vehicles.

This thesis mainly focuses on multimodal understanding and Visual Question Answering (VQA) via deep learning methods. For technical contributions, this thesis first focuses on improving multimodal fusion schemes via multi-stage vision-language interactions.

This dissertation is part of a broader research project that revolves around unraveling the evolution of balanced lethal systems.

Sheltering is an immediate human need and determines well-being andhealth.

In this thesis new methodologies are developed for the detection and systematic study of radio sources in the early universe. This allows us to gain a deeper understanding of the formation and evolution of galaxies, the activity of supermassive black holes, and the final phase transition of our universe:…

This dissertation contains four works during my PhD. Different biomaterials have been designed based on coiled-coil peptides. These biomaterials have a range of applications, inclusing drug delivery, cell sorting to cell-cell fusion.

Because thin systems can deform along the thickness with relative ease, the interplay between surface mechanics and geometry plays a fundamental role in sculpting their three-dimensional shape.

The research presented in this thesis explores the chemotherapeutic potential of metal-based compounds as chemotherapy agents, with an initial focus on the synthesis and DNA interaction studies of platinum and palladium compounds utilizing the [Pt(bapbpy)]2+ scaffold. The study identifies intercalation…

Endocannabinoids are lipid messengers that modulate various physiological functions by activating the cannabinoid CB1 and CB2 receptors. While the metabolism of endocannabinoids and their action at the CB receptors is fairly well studied, the molecular mechanisms governing their release and transport…

Self-assembly offers a promising route to create complex structures and materials using simple building blocks. Through, colloidal self-assembly, we can understand the governing principles of the self-assembly process and unlock its potential in diverse applications in materials science, photonics and…

Freshwater biodiversity has been threatened by eutrophication due to excessive nutrients in the environment. Releasing the freshwater species from such pressures requires efforts from industry and manufacturers to avoid emissions to vulnerable and high-risk regions.

This dissertation aims to advance understanding of amoeboid single cell migration under the influence of changing physicochemical environmental properties. The particular focus is on the relatively unknown influence of differing physical properties in the extracellular environment, such as the migratory…

This dissertation is a collection of four research articles devoted to the study of Kummer theory for commutative algebraic groups.

Anthropogenic change is reshaping ecological systems, raising concerns about increasing transmission of infectious diseases. Among these, mosquito-borne diseases may be particularly sensitive to environmental change, as their transmission depends on vector populations.

The main goal of this thesis is to achieve advanced control of binding properties in bis-pyrrolic and macrocyclic pyrrolic receptors by light.

With an emphasis on developing novel miktoarm star polymers termed PeptoMiktoStars, this thesis leverages asymmetric polymeric polypept(o)ide frameworks to advance their effectiveness in delivering hydrophobic drugs and nucleic acids.

This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.

The aim of this thesis was to study phage infection in Streptomyces, focused on cell wall-deficient cells. Bacteriophages (or phages in short) attach to the cell wall of bacteria after which they replicate and lyse the host cell.

Indonesia is experiencing various environmental challenges related to its fast economic growth. Therefore, it is necessary to have measurable and applicable indicators to obtain accurate data and information regarding the costs of adverse environmental impacts arising from economic activities to support…

The inverse electron demand Diels-Alder (IEDDA) pyridazine elimination emerged in 2013 as a new bioorthogonal reaction and constitutes a prime example of what is now known as dissociative bioorthogonal chemistry. The research described in this Thesis aims to develop synthetic strategies which enable…

Radio jets are important to the evoultion of galaxies. However, it is still not fully understood how a radio jet can be triggered.

In this thesis, we consider various (electro)chemical phenomena at surfaces and nanoparticles and their underlying atomistic processes, which we studied using first-principles methods such as density functional theory.

Despite being the second largest transmembrane protein family after GPCRs, the SLC superfamily has only gained significant attention in early drug development over the past decade.

Software development is a complex process. It is important that software products become stable and maintainable assets.

Forming at the nodes of the Cosmic Web and growing hierarchically via mass accretion, galaxy clusters are the largest virialized halos in our universe, composed of dark matter (DM; ≥85%), ionized hot plasma in the intracluster medium (ICM; ≥10-15%), and galaxies (≥1-5%).

Most of current public-key cryptography is considered insecure against attacks from sufficiently powerful quantum computers. Post-quantum cryptography studies methods to secure information resistant against such attacks. One proposal is isogeny-based cryptography, which bases its security on computational…

This thesis covers several aspects of quantum algorithms for near-term quantum computers and its applications to quantum chemistry and material science.