The programme will give you the opportunity to choose from a broad range of topics to study. You will be part of an international multidisciplinary research team at our institute.

Our programmes are known for our scientifically based education and for our open atmosphere.

This thesis probes under what conditions quantum computing presents an advantage over classical computing.

Existing work in probabilistic language modeling can be mostly divided into two categories:

Modern society is connected through electronic and mobile devices, which we call the Internet of Things (IoT).

With the emergence of online social networks (OSNs), the way people create and share information has changed, which becomes faster and broader than traditional social media.

Structural variants (SVs) are the hidden architecture of the human genome, and are critical for us to understand diseases, evolution, and so on.

This thesis deals with the use of sound in interactions in the context of participatory systems and data sonification. We investigate an interactive environment where participants perceive information of the data through sound elements.

SAILS is a university wide initiative aimed at facilitating collaboration across disciplines on the use of Artificial Intelligence (AI).

The Leiden Institute of Advanced Computer Science (LIACS) aims on doing applied research with partners. You can be involved in our research, and in the knowledge transfer of our research results.

This interdisciplinary project applies data science techniques to qualitatively and quantitatively visualize the interaction between the University and the city of Leiden (Town&Gown) from 1575 onwards. One of the possible angles for follow-up research is diversity, especially from the international…

Computers are becoming ever more powerful and are taking on more complex tasks. The Leiden Institute of Advanced Computer Science (LIACS) contributes to revolutionary scientific research and applies the latest inventions in the field, offering answers to today’s questions of society.

Researchers using remote sensing technologies have characterized pre-Columbian regularly-shaped earthworks in forests in Central America and the Amazon. In tropical forested mountains in South America, two challenges arise when identifying archaeological sites through remote sensing. Firstly, sites…

Conference, workshop

Lecture

This thesis advances automata learning, a key area in computer science, with applications in software verification, biological analysis, and autonomous technologies. It explores three main themes: first, it introduces a passive learning algorithm for generating compact probabilistic models from positive…

Both on a personal and institutional level, the staff of Leiden CADS collaborates with:

We are living in an information era where the amount of image and video data increases exponentially.

Making systems biology modelling a central pillar of research in biology

Image-Pro Plus, ImageJ, Cell Profiler, R, Knime and NIS-elements

In this PhD project, we focus on improving the effectiveness and efficiency of LMs with narrative data.

PhD defence

The database research community has made tremendous strides in developing powerful database engines that allow for efficient analytical query processing.

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

Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating…

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.

This thesis mainly focuses on multimodal understanding and Visual Question Answering (VQA) via deep learning methods. For technical contributions, this thesis first focuses on improving multimodal fusion schemes via multi-stage vision-language interactions.

This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.

A new initiative has started at Leiden University and at Leiden Institute for Advanced Computer Science (LIACS) in particular. Where SAILS is more geared towards Leiden University and the LUMC itself, the newly developed AI Collaboration Centre aims to forged alliances with the (local) government, companies…

Reinforcement learning is a framework that enables agents to learn in a manner similar to humans, i.e. through trial and error. Ideally, we would like to train a generalist agent capable of performing multiple tasks and achieving various goals.

Patients share valuable advice and experiences with their peers in online patient discussion groups.

Promotor: J.N. Kok, Co-promotor: H.J. Hoogeboom

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…

Promotor: F. Arbab, R. De Nicola, Co-Promotor: M. Tribastone

Promotor: Prof.dr. J.N. Kok

This inaugural lecture discusses the question: How to cooperate in the digital era?

A convolutional neural network (CNN) is a biologically inspired algorithm, highly capable at processing images and videos.

Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.

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

In this work we describe three methods to improve the performance of Quantum Field Theory calculations.

Lecture

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.

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…

Today, knowledge is the most crucial element to stimulate organizational competitiveness and economic development.

The newly developed AI Collaboration Centre aims to forged alliances with the (local) government, companies and other educational institutes.

The focus of this thesis is on the technical methods which help promote the movement towards Trustworthy AI, specifically within the Inspectorate of the Netherlands.

Transport inspectorates are looking for novel methods to identify dangerous behavior, ultimately to reduce risks associated to the movements of people and goods. We explore a data-driven approach to arrive at smart inspections of vehicles.

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

This project aims to develop advanced data analysis methods for monitoring and increasing our understanding on biodiversity dynamics in nature reserves such as the Oostvaardersplassen.