In this thesis, topics relating to the optimization of high-throughput pipelines used for imaging are discussed. In particular, different levels of implementation, i.e., conceptual, software, and hardware, are discussed and the thesis outlines how advances on each level need to be made to make gains…

FAIRDOM consortium is an open initiative of various partners including funding programmes, large-consortia, institutes, small groups as well as individuals.

Promotor: Prof.dr. H.A.G. Wijshoff

Connect theory and practice of teaching through the application of your academic knowledge about computer science to issues of classroom practice.

Software development is a complex process. It is important that software products become stable and maintainable assets.

Lecture

PhD defence

The Leiden Institute of Advance Computer Science (LIACS) in collaboration with the Institute of Security and Global Affairs (ISGA) have developed the minor Cyber Security to provide students with a mixture of technical and governance knowledge to set them on a path towards understanding cyberspace and…

PhD defence

Study information

PhD defence

Leading computer scientists from a variety of fields share their expertise and insights. Dive into the minds of these researchers and learn about real-world applications, the future of AI and related technologies and cutting-edge research. From chatbots to cybersecurity, from quantum to children's stories,…

The Faculty of Science is located at the Leiden Bio Science Park. It was founded more than two centuries ago and currently, more than 8000 people are working and studying at the eight institutes.

Researchers at LIACS are working to devise the computers of tomorrow that will be the backbone of the Cloud and Edge computing paradigms as well as the Internet of Things. In this respect, we are involved in research and development of high performance computing systems, embedded & real-time computing…

Promotor: Prof.dr. B.R. Katzy, Prof.dr. H.J. van den Herik, Prof.dr. G.H. Baltes (University of Applied Sciences Konstanz)

Big Science, commonly defined as conventional science made big in three dimensions, namely organizations, machines, and politics, brings a plethora of different stakeholders together, often for a long period of time. This includes policymakers, scientists, (scientific) managers as well as local “host”…

Health Data Science Leiden University

With the advent of multicore processors and data centers, computer hardware has become increasingly parallel, allowing one to run multiple pieces of software at the same time on different machines. Coordination of these pieces is best expressed in a coordination language as an explicit interaction protocol…

Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.

This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.

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

Anticipation on the promises and challenges that AI-assisted assessments present.

The Plant BioDynamics Lab (PBDL) is a laboratory dedicated to experiments designed to develop and validate quantitative mathematical models of dynamical processes in biology. The principal objective of developing these models is to make quantitative predictions about these processes.

This thesis investigates the application of deep learning techniques in image analysis across various domains, focusing on four main themes: feature extraction, classification, segmentation, and integration, demonstrating the transformative potential of these technologies.

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…

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.

Mining time series is a machine learning subfield that focuses on a particular data structure, where variables are measured over (short or long) periods of time.

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

Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek

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.

This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…

In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.

For optimization problems, it is often unclear how to choose the most appropriate optimization algorithm. As such, rigorous benchmarking practices are critical to ensure we can gain as much insight into the strengths and weaknesses of these types of algorithms.

Do you have any questions about the master’s programme Bioinformatics? Please contact us.

In multi/many-core System-on-Chips (SoCs), the performance is almost linearly scaling with the number of processing elements.

Members of LUXs teach courses in statistics and data science at Leiden University, Leiden University Medical Center and Leiden University College, for students of many backgrounds. They cooperate in offering wide-ranging master programs in Statistical Science and Data Science, and provide many opportunities…

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

Promotor: Prof.dr. T.H.W. Bäck

This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.

This thesis manuscript explores the use of video games as tools for conceptual exploration and academic research.

Humans can see the world through the eyes of other humans and imagine what they know, want, and intend. This competence is known as Theory of Mind.

Throughout the history of computer science, a major challenge has been how to assert that software is free of bugs and works as intended. Software bugs can lead to serious negative impacts on any software system. Throughout the main body of the thesis, we implemented a series of studies on exploring…

This programme is aimed at students who have a strong interest in programming and computer science, as well as an interest in the cognitive psychology and artificial intelligence.

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

Building a Deep Cross-media Transfer Network to extract visual relations that relieve the problem of insufficient training data for visual tasks.

Promotor: Prof.dr. S. Haring

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

Innovation plays an essential role in firms' competitiveness and long-term success. It varies from different types, ranging from run-of-the-mill innovation that brings incremental changes to existing technologies to radical innovation that breaks from existing trajectories.

Promotores: B.R. Katzy, J. de Vries, Co-Promotor: L.P. Groenewegen

This thesis is about augmented reality (AR). AR is commonly considered a technology that integrates virtual images into a user’s view of the real world.