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

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.

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.

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.

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.

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

De ontwikkeling en implementatie van een schaalbare, veilige en geïntegreerde infrastructuur van waterstof te bevorderen ter ondersteuning van de energietransitie.

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…

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, Co-promotor: F.J. Verbeek

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

Promotor: Prof.dr. J.N. Kok

Intelligentie was lange tijd hét kenmerk van de mensheid. Maar inmiddels beginnen computers ons naar de kroon te steken. Kunstmatige intelligentie komt in hoog tempo onze samenleving binnen, en blijkt dingen te kunnen die tot voor kort uniek menselijk leken. Maar hoe is een computer slim? En wat zegt…

Creëren van een framework voor de schatting van milieuparameters.

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.

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

Dit project beoogt de ontwikkeling van geavanceerde data-analysemethoden voor monitoring en het vergroten van ons inzicht in de dynamiek van de biodiversiteit in natuurgebieden zoals de Oostvaardersplassen.

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 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.

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.

Onderzoeken hoe gegevens afkomstig van draagbare technologieën kunnen worden gebruikt om effectieve gedragsveranderingen te identificeren die hopelijk zullen leiden tot gezondheidsverbeteringen.

Are you interested in studying Data Science & Artificial Intelligence in Leiden? Would you like to know more about this Bachelor programme at Leiden University? Do you have some last questions that only a student can answer? Then sign up for the Experience Day!

Lezing

OpenML stelt wetenschappers in staat om transparant en samenwerkend, reproduceerbaar AI-gedreven onderzoek te doen.

De faculteit biedt een internationale academische omgeving met 36% van de studenten, promovendi en onderzoekers uit het buitenland.

Onderzoekers van LIACS werken aan het bedenken van de computers van morgen die de ruggengraat zullen vormen van de Cloud en Edge computing paradigma’s en ‘the Internet of Things’. In dit verband zijn we betrokken bij onderzoek en ontwikkeling van high performance computing systemen, embedded & real-time…

Promotor: Prof.dr. S. Haring

In 2018, the number of mobile phone users will reach about 4.9 billion. Assuming an average of 5 photos taken per day using the built-in cameras would result in about 9 trillion photos annually.

Quantum hardware comes with a different computing paradigm and new ways to tackle applications. Much effort has to be put into understanding how to leverage this technology to give real-world advantages in areas of interest for industries such as combinatorial optimization or machine learning.

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

With the dramatic growth of the image data on the web, there is an increasing demand of the algorithms capable of understanding the visual information automatically.

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.

In this work, we attempt to answer the question:

Promotores: Prof.dr. F.S. de Boer, Prof.dr. J.J.M.M. Rutten (Radboud Universiteit Nijmegen)

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”…

Promotores: Prof.dr. J.N. Kok, Prof.dr. M.R.V. Chaudron (Chalmers Univ., Sweden)

By training with virtual opponents known as computer generated forces (CGFs), trainee fighter pilots can build the experience necessary for air combat operations, at a fraction of the cost of training with real aircraft.

A New Technology-Based Firm (NTBF) is a significant enabler of job creation and a driver of the economy through stimulating innovation.

This dissertation explores how Large Language Models (LLMs) can effectively and responsibly contribute to complex decision-making processes. By combining AI and human intelligence, Hybrid Intelligence (HI) emerges, allowing the strengths of both humans and machines to be utilized.

Image segmentation is a fundamental task in computer vision, with applications ranging from medical diagnostics to archaeological research.

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

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.

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

Natural history collections provide invaluable sources for researchers with different disciplinary backgrounds, aspiring to study the geographical distribution of flora and fauna across the globe as well as other evolutionary processes.

Visualizing the internal structure is a crucial step in acquiring knowledge about the origin, state, and composition of cultural heritage artifacts. Among the most powerful techniques for exposing the interior of cultural heritage objects is computed tomography (CT), a technique that computationally…

Promotor: J.N. Kok, Co-promotor: M.S. Lew

Divide & Quantum (D&Q) biedt verschillende oplossingen om de kracht van quantumcomputers op korte termijn te benutten, en stelt volledige pipelines voor, van theoretisch onderzoek, via implementatie tot real-world case studies in verschillende disciplines, tot wetenschapscommunicatie naar een bredere…

AI Labs zijn samenwerkingen van de Universiteit Leiden met externe partner zoals bedrijven, overheidsinstellingen en andere universiteit op het gebied van kunstmatige intelligentie. De Faculteit voor Wis-en Natuurkunde is uniek gesitueerd op het grootste Bioscience Park van Nederlands, en ligt direct…

DSE 2.0: Naar een optimaal ontwerp van complexe, gedistribueerde cyber-fysieke systemen