Science, Leiden Institute of Advanced Computer Science (LIACS)

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 examination service delivers efficient and accurate processing of written tests and digital exams in platforms such as ANS and Remindo. Additionally, we offer guidance in interpreting statistical analyses of exam outcomes.

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’.

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

How can you use robots and automatic recognition of microscopic images to test the effect of drugs exceptionally quickly?

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

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…

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-promotor: Dr. Theo Reijmers

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…

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…

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.

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.

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…

Melanie Fink, Assistant Professor of European law, has received a Veni grant from the Dutch Research Council (NWO). This research grant will allow Dr Fink to develop her ideas on ‘Gateways for Humanity: The Duty to Reason in the Automated State’ over a period of three years.

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

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.

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.

The Asser Institute organised an interdisciplinary conference on ‘Law and ethics of artificial intelligence in the public sector: From principles to practice and policy’ that took place from 10 to 11 March 2022. Melanie Fink presented a paper co-authored with Michèle Finck.

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.

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

Technology and privacy, trust and mistrust. A discussion about this broke out when the University installed scanners and students protested. On Wednesday 2 February experts from Leiden University will explore this topic at the eponymous symposium. We called Roy de Kleijn, as a computer scientist and…

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

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

The Microscopy Unit houses, maintains and coordinates most of the microscopy equipment of the IBL. The available equipment ranges from conventional light and fluorescence microscopes, to confocal laser scanning and electron microscopes. In addition, infrastructure is available for histology, including…

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

Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.

PhD defence

An overview of our infrastructure at the SPP division:

LLInC supports innovative and high-quality education, within Leiden University and in partnership with academic and social organisations.

At Leiden University, researchers from all disciplines work together to find answers and design innovations in the field of artificial intelligence.

Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.

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…

The Faculty of Archaeology

This work has described synthetic strategies towards well-defined structures resembling capsular polysaccharide (CPS) fragments, CPS mimics, teichoic acid (TA) fragments as well as a third-generation ring-closing tandem metathesis (RCM) linker to better exploit the potential of automated synthesis.

Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…