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

Over the last decades, aviation safety has improved strongly. As a downside, airline pilots do not have as many opportunities to develop through experience the competencies that they need in critical situations.

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.

Design of a Linguistic System for Interstellar Communication Based on Logic

Promotor: J.N. Kok, Co-promotor: F.J. Verbeek

The BENEFIT programme is a public-private ecosystem in a national consortium, aiming to support patients with cardiovascular diseases in their own home setting for a long-term healthy lifestyle.

Addressing the core novel objective of scalably assessing the impact of possible interventions through counterfactual prediction based on spatio-temporal data.

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.

Enhancing social inclusion through developing methods and analytical tools for understanding and reasoning about such phenomena based on sensor data.

LUdev is a student-run company within the Leiden Institute of Advanced Computer Science (LIACS). We are responsible for acquiring real-world software development projects, giving bachelor’s students the opportunity to apply the technical and theoretical knowledge gained during their studies in a professional…

A monthly lecture series about early drug discovery research at Leiden University.

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.

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.

Advancing AutoML systems targeting machine learning tasks based on Earth Observation (EO) Datasets.

Humans perceive the real world through their sensory organs: vision, taste, hearing, smell, and touch. In terms of information, we consider these different modesalso referred to as different channels of information or modals.

Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.

FIJI is one of the most used image analysis tools in the world. FIJI stands for FIJI is just ImageJ, it is however much more.

Do you have any questions about the Creative Intelligence & Technology master's programme (previously Media Technology)? Please contact us!

In this project, we use social network analysis to analyze the behavior of users in online forums and associated marketplaces over time.

Promotor: Ed F. Deprettere, Co-promotor: Todor P. Stefanov

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,…

Promotor: F.S. de Boer Co-promotor: P. T. de Gouw

Systems are called real-time systems, if the correctness of the system does not only depend on the correctness of the system output but also on whether the output is delivered on time.

This dissertation advances automated negotiation by developing agents that can learn and adapt across diverse negotiation settings through three increasingly sophisticated approaches: automated algorithm configuration, portfolio-based strategy selection, and end-to-end reinforcement learning with graph…

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

This dissertation investigates how the efficiency of Computed Tomography (CT) can be improved for dynamic scientific and industrial applications.

Lecture

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

This thesis investigates Open-world Continual Learning (OWCL), a learning paradigm designed for intelligent systems operating in non-stationary environments with persistent exposure to unknown data.

To overcome the limitations of slow and error-prone quality control, this research develops an advanced 3D imaging method for the rapid and reliable detection of internal defects in critical sectors.

Effective policy-making requires understanding what truly causes a problem. Only then can policymakers develop targeted interventions that achieve desired outcomes.

Traditional biochemical methods for studying organelles require cell disruption, preventing the real-time observation of dynamic intracellular processes.

Promotor: Prof.dr. F.S. de Boer, Co-promotor: D. Clarke

To address the computational intractability of quantum system design, this research presents a framework that reduces quantum states and circuits to symbolic forms, enabling verifiable and interpretable analysis through classical satisfiability solving.

To counter the privacy risks and regulatory challenges of algorithmic user profiling, the WATCH Project builds a cross-institutional research network to drive the development of privacy-preserving web technologies and digital policies.

Multi-objective optimization is an effective technique for finding optimal solutions that balance several conflicting objectives. It has been applied in many fields of our world, because practical problems usually have more than one desired goal. For example, developing a new vehicle component might…

This thesis surveys the intersection of computed tomography (CT) and machine learning (ML), treating CT as an ill-posed inverse problem shaped by object properties, imaging physics, and data limitations.

Creation of a framework for environmental parameter estimation that benefits from the consistency of physics-based theory-driven models and the accuracy of the machine-learning-based data-driven models

The Gorlaeus Building will be constructed in three phases, with the new building due to be completed by 2028.

A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…

This project develops methods for ensuring the anonymity of individuals in social network data.

The development process of any software has become extremely important not just in the IT industry, but in almost every business or domain of research.

Promotor: Prof.dr. E.F.A. Deprettere, Co-promoter: Todor P. Stefanov

Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)

NimbleAI aims at solutions for ultra-energy efficient and secure neuromorphic sensing and processing at the edge.

This dissertation explores how we can make anomaly detection—identifying unusual or faulty behavior in complex systems—more trustworthy and effective, with a focus on smart manufacturing.

We aim to understand ion homeostasis in the model eukaryote S. cerevisiae.

In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…

The Business Studies specialisation is for science students who consider employment opportunities in industry, and who are looking to acquire knowledge of business principles and training in managerial skills. The specialisation can be followed by students doing a two-year Masters degree in one of…