What would it be like if you could work with the best in your field every day? Alumnus in International Studies Niels Drost knows just what that’s like. He currently works as a junior researcher at the Clingendael Institute.

After a year of hard work, the first class of students from the Master of Laws: Advanced Studies in International Children’s Rights received their well-deserved master diplomas on Monday 29 August.

The third generation of students of the Master of Laws: Advanced Studies in International Children’s Rights 2017-2018 received their much-coveted master diplomas on Monday 27 August.

After a year of hard work, the second class of students of the Master of Laws: Advanced Studies in International Children’s Rights received their well-deserved master diplomas on Monday 28 August.

Speech Prosody 2024 includes seven special sessions. When making a submission, authors are asked to indicate whether they want their paper to be considered for a special session. You can find descriptions of each below.

LeidenGlobal course ‘Methodologies in the Social Sciences and Humanities’

On this page you can learn more about the history of our Faculty Awards and view the previous winners.

Conference

Suzan Verberne is nominated by the Leiden Institute of Advanced Computer Science (LIACS) to be granted the C.J. Kok Public Award, also known as the award for the ‘Discoverer of the Year’.

Multi-objective optimization is an effective technique for finding optimal solutions that balance several conflicting objectives. It has been applied in many fields of our world, because practical problems usually have more than one desired goal. For example, developing a new vehicle component might…

This thesis surveys the intersection of computed tomography (CT) and machine learning (ML), treating CT as an ill-posed inverse problem shaped by object properties, imaging physics, and data limitations.

Creation of a framework for environmental parameter estimation that benefits from the consistency of physics-based theory-driven models and the accuracy of the machine-learning-based data-driven models

The Gorlaeus Building will be constructed in three phases, with the new building due to be completed by 2028.

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…

This project develops methods for ensuring the anonymity of individuals in social network data.

The development process of any software has become extremely important not just in the IT industry, but in almost every business or domain of research.

Promotor: Prof.dr. E.F.A. Deprettere, Co-promoter: Todor P. Stefanov

Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)

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

This dissertation explores how we can make anomaly detection—identifying unusual or faulty behavior in complex systems—more trustworthy and effective, with a focus on smart manufacturing.

We aim to understand ion homeostasis in the model eukaryote S. cerevisiae.

In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…

The Business Studies specialisation is for science students who consider employment opportunities in industry, and who are looking to acquire knowledge of business principles and training in managerial skills. The specialisation can be followed by students doing a two-year Masters degree in one of…

Hybrid Intelligence (HI) is the combination of human and machine intelligence, expanding human intellect instead of replacing it. HI takes human expertise and intentionality into account when making meaningful decisions and perform appropriate actions, together with ethical, legal and societal values.…

Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich

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

Learning from small data sets in machine learning is a crucial challenge, especially when dealing with data imbalances and anomaly detection. This thesis delves into the challenges and methodologies of learning from small datasets in machine learning, with a particular focus on addressing data imbalances…

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

The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…

Cyber-attacks, privacy-related problems or failures in functioning: many technologies that are used every day have security issues that are solved when the software is already in use. An interdisciplinary project, in which Olga Gadyatskaya, Harry Wijshoff, Alex Uta and Kristian Rietveld from the Leiden…

Quantum Delta NL, a research programme in which Leiden University participates, has been awarded 615 million euros from the National Growth Fund to help develop the Netherlands into a top player in quantum technology.

Promotores: J. Kok, M. Chaudron (Chalmers University)

Video games have emerged as one of the most interesting media of the turn of the century. The peculiar characteristic of video games is the biunivocal interaction between the computer and the human player.

This dissertation presents the results of the importance of creativity for ICT-students of Dutch universities of applied sciences (in Dutch: hogescholen), and the functioning of training courses that aim to promote creative abilities is highlighted.

Contact the Graduate School of Science Office

Unravelling Mindreading Skills through Storytelling and Narratives

Healthcare Information Systems (HIS) are essential for modern healthcare delivery, yet their development faces significant challenges including heterogeneous data formats, regulatory compliance, and the growing demand for AI-driven decision support.

Multi-objective evolutionary computation aims to find high quality (Pareto optimal) solutions that represent the trade-off between multiple objectives.

Study of human cultures using computational approaches