Born in Europe roughly 100 years ago, quantum physics brought forth a veritable technological revolution through semiconductors, lasers, fibre optics, and many other technologies that are today ubiquitous in our lives. Now, during the second quantum revolution, Europe can take the lead once more in…

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

How can efficient chemical synthesis and clinical microbiology be combined to identify new antibiotics against Clostridioides difficile infections?

Material circularity and energy efficiency are highly relevant and intertwined issues for the transition towards a carbon-neutral and circular built environment. In the Netherlands, the building sector has been rendered a priority towards a circular and low-carbon society.

Young children, adolescents and students may experience learning difficulties as a result of lack of sleep. Dr Kristiaan van der Heijden investigates sleep problems and solutions for various age groups.

Over time, the temperature in all buildings will be regulated in a sustainable manner. In this way, using gas will not be necessary anymore.

A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…

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…

In this thesis we present several methods to automate tomographic reconstruction algorithms and several novel tomographic reconstruction algorithms with the focus on being easily applicable and efficient to use.

In multi/many-core System-on-Chips (SoCs), the performance is almost linearly scaling with the number of processing elements.

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,…

On 24 November 2015, Prof. Carsten Stahn participated as external expert in a special plenary session of the Assembly of States Parties on the efficiency and effectiveness of Court proceedings, chaired by the co-chairs of the Study Group on Governance of the Assembly.

A convolutional neural network (CNN) is a biologically inspired algorithm, highly capable at processing images and videos.

To develop good cancer treatments, we need to know much more about how malignant tumour cells develop. Professor Ewa Snaar-Jagalska looks at not just the effect of medication on isolated cells but also the behaviour of cancer cells in their tissue environment. Inaugural lecture on 11 December.

Promotor: M.T.M. Koper, Co-Promotor: L.B.F. Juurlink

Lipid formulations have demonstrated strong potential for nucleic acid delivery,particularly with the success of COVID-19 vaccines. Despite these advances, manyaspects of lipid formulations remain unclear.

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.

Can bacteria be engineered to convert methanol into valuable chemicals with high efficiency?

Psychologist Bernadet Klaassens initiated a large fMRI study on the effect of drugs on brain networks in aging and Alzheimer's disease. It generated a unique data set and insight into a new method to develop drugs for patients with Alzheimer's.

The probability for dissociation of molecules on metal surfaces, which often controls the rate of industrially important catalytic processes, can depend strongly on how energy is partitioned in the incident molecule. There are many example systems where the addition of vibrational energy promotes reaction…

This thesis consists of two main parts. The first part (Chapters 2 and 3) deals with a class of Markov process called Quasi-Skipfree (QSF) processes.

Promotor: A. Kros

Scientists have long been puzzled why it is easier to produce hydrogen from water in an acidic environment than in an alkaline environment. Marc Koper comes with an explanation: the reason is the electric field at the surface of the catalyst, which is larger in an alkaline environment, as he writes…

Leiden researchers have found minute movements in the laccase enzyme. This discovery could lead to the development of much more efficient biofuel cells. Publication in Biophysical Journal.

Research of the Leiden Institute of Chemistry into the development of a sustainable fuel cell has accidentally resulted in an exceptionally efficient catalyst for the production of hydrogen peroxide. The catalyst, discovered by Dennis Hetterscheid and PhD candidate Michiel Langerman, may lead to a more…

It takes years to develop new medicines, from the test tube to trials in humans. During the process it often happens that a drug that seems promising in the initial stage has to be dropped in a later phase. This costs time and money. Leiden University and the LUMC are working closely together to make…

The STW project Energy Efficient Computer-Brain Interaction (principal investigator for LIACS: dr. T.P. Stefanov) has been granted. Funding for LIACS: 1 PhD student + travel/equipment budget, project duration: 4 years.

Promotor: P.J.J. Hooykaas, Co-Promotor: E.J. van der Zaal

On Tuesday 10 March 2015 - 10h Ernst Worrell, professor at the University of Utrecht with a chair on

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

Promotor: Prof.dr. T.J. Aartsma, Co-promotor: R.N. Frese

How might we include circularity into the models often used in IPCC reporting (in technical language, how can IAMs, dMFA models and CGE models be integrated?) What are possible futures for global resource use and what are the consequences for greenhouse gas emissions in these scenarios?

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

Hospital pharmacies face significant challenges: the demand for sterile drug reconstitutions is increasing, while specialized personnel remain scarce. Automation offers a potential solution, but its practical implementation in hospitals is still unclear.

The aim of this work was to study the applicability of antigen-coated pH-sensitive microneedle arrays for effective vaccination strategies. Therefore, a model antigen (ovalbumin) was coated onto pH-sensitive (pyridine-modified) microneedle arrays to test pH-triggered antigen release by applying the…

Increasing the efficiency of gene targeting (GT) as a genome editing tool in plants has been an important goal in plant biotechnology.

The LOFAR radio telescope produces petabytes of data every year. Radio Astronomers use complex multi-step pipelines to process this data and produce scientific images.

With the advent of multicore processors and data centers, computer hardware has become increasingly parallel, allowing one to run multiple pieces of software at the same time on different machines. Coordination of these pieces is best expressed in a coordination language as an explicit interaction protocol…

Membrane fusion is a vital process in living organisms and is mediated by zipper-like proteins.

The long-held desire - to link structure directly to function and to explain molecular mechanisms based on basic chemical or physical principles - is finally coming closer, satisfying not only our scientific curiosity but also offering new solutions to the many challenges in the field of health, energy…

The focus of health care is rapidly changing. The need for maximum gains with minimal input requires tailored health care strategies and an ever more explicit evaluation of health benefits for the patient.

NimbleAI aims at solutions for ultra-energy efficient and secure neuromorphic sensing and processing at the edge.

For effective cancer immunotherapy by vaccination, co-delivery of tumour antigens and adjuvants to dendritic cells and subsequent activation of antigen-specific cytotoxic T cells (CTLs) is crucial. In this study, a synthetic long peptide (SLP) harbouring the model CTL epitope SIINFEKL was encapsulated…

The active learning ambition is based on the idea that knowledge is more likely to ‘stick’ when students are actively engaged with their learning and research. This active student participation has implications for how we teach: less consumption of knowledge and more efficient use of contact hours.

Understanding how nature captures and transfers solar energy is essential both for elucidating biological photosynthesis and for guiding the design of artificial light-harvesting systems.

Many important topics in computer science, such as the correctness of software, the efficiency of algorithms and the modeling of complicated systems, depend on sound theoretical underpinnings. In the Theory group, we study these fundamental building blocks and develop verification methods to prove system…

The database research community has made tremendous strides in developing powerful database engines that allow for efficient analytical query processing.

Researchers at LIACS are working to devise the computers of tomorrow that will be the backbone of the Cloud and Edge computing paradigms as well as the Internet of Things. In this respect, we are involved in research and development of high performance computing systems, embedded & real-time computing…