The focus of the Multicriteria Optimization and Decision Analysis (MODA) group is to develop foundations of methods in multi-objective optimization.

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

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

Researchers of the Leiden Institute of Advanced Computer Science (LIACS) will develop a training programme the next generation of early stage researchers (ESRs). During a four years project they will be trained to approach industrial challenges in a holistic manner by developing solutions in an automotive…

Promotor: M. Danhof, Co-promotores: J. Freijer, A. Yassen

How can mega sand nourishments, such as the Sand Motor, be designed and managed for optimal ecosystem services provision ?

The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.

The design process of new buildings is extremely complex due to strict requirements. Computer models are used to create the designs. Scientists from LIACS developed advanced algorithms that help their colleagues at Eindhoven University of Technology to optimise these models.

M. Danhof, Co-promotor: O.E. Della Pasqua

Promotor: Prof.dr. T.H.W. Bäck

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…

In this thesis it is posed that the central object of preference discovery is a co-creative process in which the Other can be represented by a machine. It explores efficient methods to enhance introverted intuition using extraverted intuition's communication lines.

In this thesis population pharmacokinetic and physiologically-based pharmacokinetic (PBPK) approaches were applied to investigate the influence of glomerular filtration (GF) and active tubular secretion (ATS) on renal clearance in children.

Conference

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…

Lecture

Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…

The recently promoted Hao Wang from the Leiden Institute of Advanced Computer Science teaches computer programmes how to solve real-world problems. His goal is to make the process of problem-solving more efficient. On 1 November, he obtained his doctorate with the predicate cum laude. ‘I hope to solve…

The coronavirus has the world in its grip. Finding a cure has never been more important. Unfortunately, the development of new drugs for treatment of the COVID-19 disease caused by the virus and development of a vaccine are complex, lengthy, and above all costly processes. With the help of computer…

The information below concerns courses that our group teaches in Leiden. 

SBB research focuses on the complex operational, organisational dynamics of technology-intensive sectors.

PhD Defence

This study aims to answer two main research questions: (1) What are the main predictors of work ability in employees with migraine? (2) Can we optimise work ability in employees with migraine using a web-based intervention focused on these relevant predictors?

In the search for sustainable energy solutions, the idea of artificial photosynthesis has been proposed as an approach with which to use water and sunlight to produce hydrogen.

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

Research in the POD-group addresses all features of random phenomena – modelling, structuring, analysis, control, optimisation – and covers both fundamental and applied aspects.

Analytical tools for environmental design and management in a systems perspective. The combined use of analytical tools.

Following their application to system biological models, control theory techniques have further potential to aid in the understanding and application of quantitative systems pharmacology models.

The Department of Child Law collaborated on a study on missing children in the European Union for the European Commission. The outcomes of the study aim to help to improve the mechanisms involved when children are missing in EU Member States.

Governments in parliamentary democracies have limited time in office to fulfill their policy agendas. So, how do they optimise the timing of legislative bills to assure their passage and avoid lengthy parliamentary scrutiny? This question is especially puzzling under coalition governments, in which…

PhD Defence

PhD Defence

PhD Defence

Wen Yang is our Institute of Biology Leiden's nominee for the C.J. Kok Jury Award 2020.

Promotor: Prof.dr. M. Danhof, Co-promotor: O.E. Della Pasqua

Trigonostemon Blume is a plant genus in the family Euphorbiaceae comprising 59 species.

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Aggression inflicts a huge personal, psychological and financial burden on affected individuals, their relatives, and society at large. Despite large scientific, preventive, and treatment investments, no decrease in aggressive behaviour is seen. By combining interdisciplinary expertise the ACTION consortium…

The Cognitive Psychology Unit has two main reseach lines, which focus on basic research questions and more applied challenges.

The ICT.OPEN conference had no less than five Leiden highlights. PhD candidate Anna Louise Latour won the pitch prize of 500 euros and PhD candidate Can Wang won the second prize in the Commit2Data poster competition. In addition, Professor Holger Hoos gave the keynote lecture on the first day and Suzan…

This thesis describes the development and validation of new high-contrast imaging techniques, with the ultimate goal of enabling the next generation of instruments for ELT-class telescopes to directly image Earth-like extra-solar planets orbiting around nearby stars.

The master's specialisation Bioinformatics at Leiden University focuses on research, development and application of computational tools and approaches for expanding the use of biological, medical, behavioral and health data.

Samineh Bagheri is our Leiden Institute of Advanced Computer Science’s nominee for the C.J. Kok Jury Award 2020.

With the powerful electron microscopes at NeCEN we study abnormalities in cells of blood vessels in cardiovascular disease, the interaction between pathogens and hosts in infectious diseases, molecular processes that cause cancer and the interaction between drugs and target proteins. Drug development…

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…

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'I did not know that I could become even more proud of you.' Kristian Rietveld's father responded to the news that his son was appointed Teacher of the Year 2017.

To deliver a Virtual Sensor tool optimised to exploit the synergy between Sentinels 2 and 3 to allow the consistent retrieval of land surface parameters (Albedo, LAI, and LST); To extend the existing capabilities of land EO data assimilation tools to add capacity to handle data in the thermal domain…

The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.