HOVO biedt een klein aantal colleges online.

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,…

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…

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”…

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.

Erfgoed Gezocht is een citizen science - of burgerwetenschapsproject waarbij iedereen kan meewerken aan archeologisch onderzoek.

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

Promotor: Prof.dr. K.J. Batenburg

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

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.

This dissertation is about Bayesian learning from data. How can humans and computers learn from data?

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

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

Promotores: Prof.dr. B.R. Katzy, Prof.dr. K. Sailer (Munich University)

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

Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.

Dit project ontwikkelt een wetenschappelijke methode om klinisch relevante nieuwe informatie te extraheren uit patiëntenforum-websites die ervaringen van patiënten bespreken over bv. medicatie, voeding, co-morbiditeiten, genetische factoren enz.

We present an extensive study of methods for exactly solving stochastic constraint (optimisation) problems (SCPs) in network analysis. These problems are prevalent in science, governance and industry.

This thesis investigates how quantum, quantum-inspired, and hybrid quantum-classical computation can enhance key points of the automated machine learning (AutoML) pipeline under the constraints of noisy intermediate-scale quantum (NISQ) devices.

De Faculteit der Wiskunde en Natuurwetenschappen is gevestigd op verschillende locaties in het Bio Science Park Leiden.

Radiography is an important technique to inspect objects, with applications in airports and hospitals. X-ray imaging is also essential in industry, for instance in food safety checks for the presence of foreign objects.

Promotor: Prof.dr. B.R. Katzy, Prof.dr. J. de Vries

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

De programmagroep Leer- en Gedragsproblemen in het Onderwijs doet onderzoek naar stagnaties die kunnen optreden in de cognitieve ontwikkeling.

Dit interdisciplinair onderzoeksproject verkent verschillende adaptieve machine-learning methoden die inzicht kunnen geven in de interactie tussen mens en machine. Het uiteindelijke doel is een open en natuurlijke communicatie tussen mens en AI die moet resulteren in wederzijds vertrouwen, samenwerking…

Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.

Continuous optimization is never easy: the exact solution is always a luxury demand and the theory of it is not always analytical and elegant.

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.

Elk jaar organiseert eLaw verschillende congressen, symposia, workshops, panels en andere evenementen.

In some condensed matter systems, such as the surface of a 3D topological insulator, the electrons are effectively massless and we must necessarily use the massless Dirac equation to describe them.

Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.

Promotor: Prof.dr.ir. E. Deprettere

The energy system is at the heart of two of the greatest challenges of the 21st century: decreasing CO2 emissions to meet the ambitions of the Paris agreement while fulfilling the growing energy demand associated with the economic aspirations of a growing world population.

Interactive exploration of large volumes of data is increasingly common, as data scientists attempt to extract interesting information from large opaque data sets. This scenario presents a difficult challenge for traditional database systems, as (1) nothing is known about the query workload in advance,…

We strive to address the challenge of constructing a modeling language to write software which can take advantage of recent hardware developments (multicore, cloud) without compromising in its abstraction levels.

Het witwassen van de gelden die worden verkregen uit cybercrime vindt in toenemende mate plaats met digitale betalingsmiddelen. In dit onderzoek wordt nagegaan hoe deze gelden worden witgewassen, welke actoren een rol spelen en hoe digitale betalingsmiddelen daarbij worden gebruikt.

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,…

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.

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…

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.

Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.

Prematurely born neonates require, amongst others, pharmaceutical therapy. Dosing guidelines for these therapies are often based on data from term born neonates or older infants, while these are not necessarily similar to prematurely born neonates.

Promotor: Prof.dr. E. Deprettere

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