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.

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

Teaching the Future: AI-Enhanced Education for Student Engagement and Ethical Learning.

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

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.

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

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

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…

In the traditional theory of linear elasticity, superposition dictates that the response of a material does not depend on the sequence of the applied mechanical actuations.

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.

Methodologie & Statistiek verzorgt bachelorcursussen en een masterspecialisatie.

Het Sport Data Center doet onderzoek binnen vijf thema's.

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.

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

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…

Onderzoek naar quantumcomputers en islamitische goede doelen: twee Leidse wetenschappers krijgen een Consolidator Grant van de European Research Council.

Een oneindige stroom publicaties, data en software waar iedereen bij kan. Dat klinkt idealistisch, maar hoogleraar Wetenschapsstudies Thed van Leeuwen waarschuwt ook voor de nadelen. In zijn oratie pleit hij voor de menselijke maat en een hervorming van het promotietraject.

Volgens het standaardrecept voor een quantumcomputer met Majorana’s als bouwstenen moet je ze omzetten in qubits. Maar een veelbelovende toepassing van quantum computing—quantumchemie—vereist dat deze qubits opnieuw transformeren, in zogenoemde fermionen. Natuurkundigen uit Leiden en Delft stellen voor…

Leidse wetenschappers ontvangen dit jaar drie van de vier Heineken Young Scientists Award 2022. Chronobioloog Laura Kervezee, natuurkundige Jordi Tura i Brugués en gezondheidspsycholoog Liesbeth van Vliet mogen de prijs in ontvangst nemen.

Het LIACS organiseert verschillende lezingenseries, zoals het Florence Nightingale Colloquium, LCN2 Seminars, de Ada Lovelace Distinguished Lecture Series en het OTICS Colloquium.

HOVO biedt een klein aantal colleges online.

C-SIDe project betrekt een brede selectie van partners bij het oplossen van cybersecurityproblemen. Beveiliging van softwaresystemen is een kritieke behoefte in onze onderling verbonden samenleving. Bedrijven die softwareproducten ontwikkelen, zoeken naar Security-by-Design-benaderingen die beveiliging…

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…

Om goed onderbouwde besluiten over complexe onderwerpen zoals het klimaat, recht en gezondheid te kunnen nemen, zijn wetenschappelijke resultaten van groot belang. Maar wetenschappelijke resultaten bevatten altijd een mate van onzekerheid. Binnen het onderzoek Communicatie over onzekerheden wordt onderzocht…

Alle studenten volgen in de eerste twee jaar een basispakket aan informaticavakken waarin zowel de fundamentele theorie als praktische toepassingen aan bod komen.Onderwerpen die aan bod komen zijn theorie, wiskunde, onderzoeksvaardigheden, data, artificial intelligence, hardware, systemen, software,…

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.

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: F. Arbab

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 thesis applies data mining in commercial settings in the telecommunications industry.

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

Anticipatie op de uitdagingen en voordelen die AI-ondersteunde beoordelingen met zich meebrengen voor de relatie tussen studenten en docenten, de menselijke, evenals sociaal-economische kosten en kansen die zij voor universiteiten creëren.

Promotor: J.N. Kok, P.E. Slagboom Co-promotor: J.F.J. Laros

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,…

The increasing competition in the automotive industry requires the tailored, swift development of technologically sophisticated vehicles. Therefore, the computationally expensive state-of-the-art simulation technologies are combined with optimization algorithms. An example of a real-world optimization…

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

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

Three major cosmology-focused missions are planned for the next decade: the Euclid space telescope, the Vera C. Rubin Observatory in Chile, and the Nancy Grace Roman Space Telescope.

SuperCode: Sustainability PER AI-driven CO-DEsign

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.

Promotor: T. Hankemeier, Co-promotor: T.H. Reijmers

Promotor: Prof.dr. E. Deprettere

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

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

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”…

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.