Promotores: A.P. IJzerman, H.W.T. van Vlijmen

Aiming to advance the development and deployment of a scalable, safe, and integrated hydrogen infrastructure to support the energy transition.

In CCLS several subgroups have formed, below you can find an overview of these groups with the names of the leading researchers and a short outline of the project.

Although exposure therapy is the gold-standard treatment of posttraumatic stress-disorder (PTSD), only half of the patients adequately benefit from it. Based on recent insights into the mechanisms of extinction, this project examines strategies and techniques to improve exposure treatment outcome in…

We present an extensive study of methods for exactly solving stochastic constraint (optimisation) problems (SCPs) in network analysis. These problems are prevalent in science, governance and industry.

Promotor: E.F.A. Deprettere, Co-Promotor: A.C.J. Kienhuis

Vandaag de dag liggen statistische methodes aan de grondslag van beslissingen in allerlei facetten van het leven, van de gezondheidszorg en agricultuur tot de financiële sector en marketing.

PBDL favors multidisciplinary research. Depending on the problems under investigation, PBDL establishes collaborations between experts from for example molecular genetics, molecular and electro cell physiology, biochemistry, organic chemistry, analytical mathematics, mathematical statistics and computational…

Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…

A team of researchers from Leiden Institute of Advanced Computer Science (LIACS) recently hosted a big international conference (EMO 2023). At the conference, computer scientists discussed algorithms that are important in areas such as drug discovery, industrial production planning, and sustainable…

We aim to create an innovative e-learning and virtual reality training that helps healthcare providers to optimize placebo effects and minimizes nocebo effects via their communication.

The perfect ship is light and sleek for speed, but also needs to be strong and stable for safe sailing. These and other conflicting requirements make it difficult, even with a supercomputer, to find the ideal design. Computer scientist Roy de Winter has developed an algorithm that helps strike the perfect…

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…

Machine Learning is becoming a more and more substantial technology for industry.

Promotor: Prof.dr. A. P. IJzerman, Co-Promotor: Dr. L.H. Heitman

uman skin equivalents (HSEs) are in vitro 3D-skin models that mimic many aspects of the native human skin (NHS) and can be a valuable tool.

Bispecific antibodies with one Fab arm binding to effector cells, such as T-cells and NK-cells, while the other Fab arm recognizing a tumor associated antigen (TAA) can be used to redirect these effector cells for tumor specific killing. Using bispecific antibodies to treat hematological cancers is…

Promoting academic equity for students with ADHD through evidence-based accommodations and inclusive teaching methods in higher education.

In this dissertation several settings in the Online Learning framework are studied. The first chapter serves as an introduction to the relevant settings in Online Learning and in the subsequent chapters new results and insights are given for both full-information and bandit information settings.

In this work we describe three methods to improve the performance of Quantum Field Theory calculations.

In the week of 16 – 21 September, an international group of more than 50 scientists met at the Many Criteria Optimization and Decision Analysis (MACODA) workshop. They discussed many-criteria optimization, which is the searching for optimal solutions when one has to consider a larger number of criteria.…

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.

On a structural level, the properties featured by a majority of mechanical metamaterials can be ascribed to the finite number of soft internal degrees-of freedom allowing for low-energy deformations.

We strive to address the challenge of constructing a modeling language to write software which can take advantage of recent hardware developments (multicore, cloud) without compromising in its abstraction levels.

This dissertation provides crucial but as yet missing empirical data on the tone accent opposition in the so-called

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

This dissertation provides a formal description of the relationship between diatopic/diachronic micro-variation and phonologization through analysis of the phonetic/phonological properties of unstressed vowel reduction and vowel insertion in two Northern Italian dialects.

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

Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…

How can computers help design optimal buildings? PhD student Koen van der Blom makes algorithms that take into account all kinds of different architectural requirements, in order to reach the best compromise. And that is quite difficult: 'Algorithms do not automatically understand that a building that…

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.

NWO awarded a grant for novel research on Complex and Distributed Cyber-Physical Systems (CPS). The grant will fund a four-year research project in which they hope to devise a method to explore and find optimal designs for CPS. Todor Stefanov, Associate Professor at the Leiden Institute of Advanced…

Leiden Professor Marc Koper will be carrying out research on the chemical process underlying tin coating in order to optimise the quality of tin coatings. He has been awarded a subsidy of 285,000 euros from the STW Technology Foundation and Tata Steel.

David Versluis successfully simulated an infant gut virtually. This is crucial for research on improvements in formula milk. Currently, such research primarily relies on diaper contents, which is not optimal. Versluis defended his doctoral thesis on April 23.

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.

On September 15th a new series of lectures will start, the Joint Lectures on Evolutionary Algorithms (JoLEA). This series of events is aimed at disseminating the latest, top-quality research on EAs. The lectures will feature world-renowned speakers, local researchers, and PhD students.

The emergence of complex diseases resulting from abnormal cell-cell signaling and the spread of infectious diseases caused by pathogens are significant threats to humanity. Unraveling the dynamic mechanisms underlying cell-cell signaling and infectious disease spreading is crucial for effective disease…