The Leiden Ranking – Open Edition is completely transparent. The ranking compiled by the CWTS uses open data and publishes the algorithms that are used.

Public authorities fail to inform citizens, or inform them too little or too late, about the use of algorithmic profiling in administrative decisions. This is clear from research conducted by Anne Meuwese and Fatma Çapkurt on the legally and practically responsible use of profiling algorithms.

This thesis involves three topics: benchmarking discrete optimization algorithms, empirical analyses of evolutionary computation, and automatic algorithm configuration.

Promotor: H.W. Lenstra

Quantum computers are a proposed fundamentally new type of computer. They aim to perform some computations much faster than previously possible by exploiting phenomena at the quantum scale, called superposition and entanglement.

With new algorithms and supercomputers, an incredibly detailed radio map of the universe was created. Now astronomers can look at radio data of galaxies with much more precision. This was published in Nature Astronomy by Leiden PhD student Frits Sweijen and colleagues.

On 13 June 2024, the University of Tuscia (Viterbo, Italy) hosted a doctoral seminar in the series 'Law and Artificial Intelligence', organised by the PhD programme in 'Law of European and Global Markets. Crisis, Rights, Regulation' and coordinated by Professor Rosa Ruggiero.

Promotor: J. N. Kok, Co-promotor: A. J. Knobbe

This thesis is a collection of theoretical works aiming at adjusting quantum algorithms to the hardware of quantum computers.

In this special edition of Information Polity there is a focus on the transparency challenges of using algorithms in government in decision-making procedures at the macro-, meso-, and micro-levels.

Promotores: J.N. Kok, H.J. Hoogeboom

In this thesis, we have studied cell images from two types of cells, including pollen grains and the immune cells, neutrophils. These images are captured using a bright field microscope and a confocal microscope.

An algorithm is discussed to compute the exponential representation of principal units in a finite extension field F of the p-adic rationals.

Thomas Bäck wins the 2015 IEEE CIS Evolutionary Computation Pioneer Award for his contributions in synthesizing evolutionary computation.

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

To an algebraic curve C over the complex numbers one can associate a non-negative integer g, the genus, as a measure of its complexity.

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.

Promotores: T.H.W. Bäck, Y. Tan, Co-promotor: M.T.M. Emmerich

The research in this thesis is focused on tomographic reconstruction based on two imaging modalities in electron microscopy.

Pushing the boundaries of quantum theories – that’s exactly what the physicists at Leiden University excel at. Researchers in Leiden are launching eight new quantum research projects as part of the Quantum Limits consortium.

Promotor: Peter Stevenhagen

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.

Quantum computing is a novel paradigm for computation, which is nearing real-world impact with the coming generation of limited, but nonetheless powerful quantum devices.

Promotores: K.J. Batenburg, B. Koren

Promotor: Prof.dr. S. Portegies Zwart

The invention of neural networks marks a critical milestone in the pursuit of true artificial intelligence. Despite their impressive performance on various tasks, these networks face limitations in learning efficiently as they are often trained from scratch.

Many important topics in computer science, such as the correctness of software, the efficiency of algorithms and the modeling of complicated systems, depend on sound theoretical underpinnings. In the Theory group, we study these fundamental building blocks and develop verification methods to prove system…

A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.

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

Research in the natural computing group covers theoretical foundations, the development of new algorithms, and interdisciplinary applications of natural computing methods.

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 PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.

Constraint multi-objective optimization with a limited budget for function evaluations is challenging. This thesis tackles this problem by proposing new optimization algorithms. These algorithms are applied on holistic ship design problems. This helps naval architects balance objectives like cost, efficiency,…

We see computer programming as an essential skill. It enables you to be self-sufficient in building tools, processing data, visualizing research output, communicating research results, etc. Moreover, it empowers you to make beautiful things.