This dissertation advances automated negotiation by developing agents that can learn and adapt across diverse negotiation settings through three increasingly sophisticated approaches: automated algorithm configuration, portfolio-based strategy selection, and end-to-end reinforcement learning with graph…

Promotor: J.P. Abrahams, Co-Promotor: N.S. Pannu

The results of the investigations by citizens are used in an innovative research project that investigates the potential of machine learning and automated detection in archaeology.

The lecture series 'Humanity in the Automated State' examines how AI and automated systems are transforming government and public administration and what it means to be human within these digitised institutions.

The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.

Simona Demková, Assistant professor at the Europa Institute of Leiden University, publishes her book ‘Automated Decision-Making and Effective Remedies: The New Dynamics in the Protection of EU Fundamental Rights in the Area of Freedom, Security and Justice’.

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.

If an algorithm has to learn to understand language, simply having a lot of data doesn’t help much. Like us, a computer has to learn the language in interaction with others. Tessa Verhoef is fascinated by how this interaction works.

Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…

Promotor: Prof.dr. T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier

On Tuesday 3 September 2024 Straton Papagianneas successfully defended a doctoral thesis and graduated.

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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…

Generally the data from remote sensing surveys - the scanning of the earth by satellite or aircraft in order to obtain information about it - is screened manually in archaeology. However, constant monitoring of the earth's surface causes a huge influx of data of high complexity and high quality. To…

Monica Kaminska, Dennis Broeders and Fabio Cristiano have contributed a chapter to the proceedings of the 13th International Conference on Cyber Conflict (CyCon 2021), which gathers 20 articles from the law, technology and strategy domains.

Promotor: Prof.dr. T. Hankemeier, Co-promotor: Dr. Theo Reijmers

Political institution (like the Council of the European Union and the European Parliament) generate large bodies of text. These great amounts of text can impossibly be read by a researcher. Contrary to human researchers, computers are able to read thousands of documents a day. In this research project…

As of February, Pepijn Reeser steps down as the project director of the Taalmuseum (the Language Museum). Exhibition designer and project manager Tessa Askamp takes over his role.

This thesis focuses on the development of sample-preparation methods for small amounts of samples and applying the developed methods to muscle tissues to investigate the mechanisms involved in sarcopenia.

LIACS organizes different lectures and seminars like the LCN2 Seminars and SAILS Lunch Time-seminars.

The authors of the article expect automation to improve accuracy in less complex programmes but worsens with increased complexity

Within the MAC our Enabling Analytical Technology team is working to innovate all steps of analytical workflows. This includes developing novel sample preparation modules, creative sample handling methods, automated workflows, and more. Several projects implement the microfluidic principle of segmented…

Metabolomics has the potential to play a pivotal role in understanding disease onset and progression, and ultimately personalized treatments. One of its major challenges is its large-scale implementation, which is necessary to deal with the high variability of the metabolome. In this work we have developed…

Tessa van Schagen and Naomi Sedney know exactly how to combine their Psychology study with top-level sport. Both students are running in the 4 x 100 metre relay at the Olympic Games. Van Schagen: 'Fellow students think it's great that I'm going to Rio.'

From 14 to 15 September 2023, Simona Demkova, AI researcher at the Europa Institute, participated in the INDIGO Project Final Conference, where she provided valuable perspectives on the implications of AI for European public law.

Promotor: G.A. van der Marel, Co-promotor: J.D.C. Codée

The lecture series “Humanity in the Automated State” held its second session on January 12, 2026, at Leiden Law School. Dr. Aya Rizk from Linköping University brought her expertise on Information Systems whit a focus on how digital technologies and data drive organizational change, particularly in decision-making…

In this thesis, we developed new ways to use a technique called electroextraction (EE) to extract charged molecules from one liquid into another using an electric field.

In this project we develop algorithms to automatically detect a particular type of archaeological sites in satellite images of the Alps.

Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.