In the era of big data, extracting insights from complex datasets is a key challenge. This thesis demonstrates the superiority of graph-based methods over traditional clustering (e.g., k-means, DBSCAN) and outlier detection for analyzing high-dimensional and noisy data.

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

Humans share meaning through language. Over time, repeated interactions have shaped languages into forms that match our cognitive preferences, making them structured, expressive, easy to learn, and ultimately, meaningful.

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

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

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.

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…

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.

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.

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

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.

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

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.

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

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.

Promotor: Prof.dr. J.N. Kok

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

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

Lecture

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

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.

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

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.

Exploring the integration of AI and quantum computing, this study adapts Knowledge Representation and Reasoning (KRR) to enhance quantum circuit simulation and optimization.

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…

Exploring the application of game-theoretic frameworks to quantum physics, this study creates novel AI training methods for the precise control of quantum systems.

Exploring the application of data-driven AI optimizations, this work leverages past software performance to reduce the carbon footprint and energy consumption of powerful computing applications.

This project aims to develop a portable, real-time intelligent system tailored for speech disorder therapy.

OpenML empowers scientists to conduct transparent, reproducible, and collaborative AI-driven research.

Search and conversational systems have become central to how people access information and perform tasks.

PhD defence

PhD defence

PhD defence

The Faculty of Social and Behavioural Sciences brings together high-quality research and outstanding mono- and multidisciplinary teaching.

Leiden University’s new ‘Europe Hub’ is an interdisciplinary platform that showcases the university’s research and teaching expertise and capacities on Europe’s societal and governance challenges.

'Technology, law and justice' is one of Leiden Law School's four research focus areas.

The scientific research of the Faculty of Governance and Global Affairs is organised around a number of centres and institutes in The Hague, city of peace, security and justice.

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.

Meet the scientists within the LED3 community

LeidenGlobal course ‘Methodologies in the Social Sciences and Humanities’

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…

In totaal hebben 21 Leidse onderzoekers succesvol een aanvraag ingediend voor de NWO SGW Open Competitie XS. Twee van de beloonde projecten komen van onderzoekers van FGGA: Silvia D’Amato en Jaroslaw Kantorowicz.

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”…