1,364 search results for “liacs” in the Public website
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Programme structure
Connect theory and practice of teaching through the application of your academic knowledge about computer science to issues of classroom practice.
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Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
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Algorithmic tools for data-oriented law enforcement
Promotor: J.N. Kok, Co-promotor: W.A. Kosters
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Cyber Security
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…
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Healthcare Information System Engineering: AI Technologies and Open Source Approaches
PhD defence
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Emergence of Linguistic Universals in Neural Agents via Artificial Language Learning and Communication
PhD defence
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Learning in Automated Negotiation
PhD defence
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Experience Day Data Science & Artificial Intelligence
Study information
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Podcast series Computers don't byte
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,…
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Previous winners
On this page you can learn more about the history of our Faculty Awards and view the previous winners.
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Gaming your way through a PhD: 'Studying games is not just cool, it's important'
Giulio Barbero and Matthias Müller-Brockhausen did their PhD research at the Leiden University Game Research Lab.
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About Faculty of Science
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.
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Systems and Security
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…
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Building4Belonging
Addressing loneliness faced by students with special needs and aiming to sense the dynamics and perceptions of students during unstructured school time.
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Shape Analysis for Phenotype Characterisation from High-throughput Imaging
We have studied shape with a particular focus on the zebrafish model system. The shape is an essential appearance of the phenotype of a biological specimen and it can be used to read out a current state or response or to study gene expression.
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Arguably augmented reality : relationships between the virtual and the real
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.
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Cleared for take-off, Game-based learning to prepare airline pilots for critical situations
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.
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Reasoning about object-oriented programs: from classes to interfaces
Throughout the history of computer science, a major challenge has been how to assert that software is free of bugs and works as intended. Software bugs can lead to serious negative impacts on any software system. Throughout the main body of the thesis, we implemented a series of studies on exploring…
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Theory of mind in language, minds, and machines: a multidisciplinary approach
Humans can see the world through the eyes of other humans and imagine what they know, want, and intend. This competence is known as Theory of Mind.
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DNA expressions - A formal notation for DNA
Promotores: J.N. Kok, H.J. Hoogeboom
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Massively collaborative machine learning
Promotor: J. N. Kok, Co-promotor: A. J. Knobbe
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Structural Health Monitoring Meets Data Mining
Promotor: Prof.dr. J.N. Kok, Co-promotor: Dr. A.J. Knobbe
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Machine learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.
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Constraint-Based Analysis of Business Process Models
Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.
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Algorithm design for mixed-integer black-box optimization problems with uncertainty
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…
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Astrolinguistics
Design of a Linguistic System for Interstellar Communication Based on Logic
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Fuzzy systems and unsupervised computing: exploration of applications in biology
In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.
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Designing Ships using Constrained Multi-Objective Efficient Global Optimization
A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.
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Education
Members of LUXs teach courses in statistics and data science at Leiden University, Leiden University Medical Center and Leiden University College, for students of many backgrounds. They cooperate in offering wide-ranging master programs in Statistical Science and Data Science, and provide many opportunities…
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Abstract delta modeling: software product lines and beyond
Promotor: Prof.dr. F.S. de Boer, Co-promotor: D. Clarke
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Algorithms for analyzing and mining real-world graphs
Promotor: Prof.dr. J.N. Kok, Co-Promotor: W.A. Kosters
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Social network and radical innovation: evidence from the U.S. pharmaceutical and biotechnology industry
Innovation plays an essential role in firms' competitiveness and long-term success. It varies from different types, ranging from run-of-the-mill innovation that brings incremental changes to existing technologies to radical innovation that breaks from existing trajectories.
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Optimal decision-making under constraints and uncertainty
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.
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Benefit for all – An ecosystem for a healthy lifestyle
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.
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Studying the Benefits of Using UML on Software Maintenance: an Evidence-Based Approach.
Including modelling as part of software development appears to have various benefits.
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Knowledge Discovery and Data Mining from patient experience repositories
This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.
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Algorithms for the description of molecular sequences
Promotor: J.N. Kok, P.E. Slagboom Co-promotor: J.F.J. Laros
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From Benchmarking Optimization Heuristics to Dynamic Algorithm Configuration
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.
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Computer Science
PhD candidates carry out a programme of independent research and additional (limited) course work, culminating in production of a PhD thesis in typically 4 years.
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Stochastic and Deterministic Algorithms for Continuous Black-Box Optimization
Continuous optimization is never easy: the exact solution is always a luxury demand and the theory of it is not always analytical and elegant.
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Enhanced coinduction
Promotores: J.J.M.M. Rutten, F.S. de Boer, Co-promotor: M.M. Bonsangue
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Latency, Energy, and Schedulability of Real-Time Embedded Systems
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.
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Utopia: Universal Three-dimensiOnal Passport for process Individualization in Agriculture
Agricultural foods naturally vary in their detailed internal structure. To facilitate early detection of health hazards due to contamination or disease, predict maturity and minimize wastage, it is critical to take into account the internal characteristics of each individual product, as these enable…
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Opinion Diversity through Hybrid Intelligence
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.
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Computed fingertip touch for the instrumental control of musical sound with an excursion on the computed retinal afterimage
Promotor: Prof.dr. S. Haring
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Improved hard real-time scheduling and transformations for embedded Streaming Applications
This thesis addresses the problem of designing performance and energy efficient embedded streaming systems, that is, systems which process a stream of input data coming from the environment and generate a stream of output data going into the environment.
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Governance of Innovation Project Management: Necessary and Neglected
Promotores: B.R. Katzy, J. de Vries, Co-Promotor: L.P. Groenewegen
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Exploring Images With Deep Learning for Classification, Retrieval and Synthesis
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.
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Aspects of Record Linkage
Promotores: Prof.dr. J.N. Kok, Prof.dr. C.A. Mandemakers, Co-Promotor: G. Bloothooft
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Formal models of software-defined networks
SDN (Software-Defined Networking) represents a revolutionary approach to network architecture that enables the dynamic and flexible management of network resources through software-based control. This dissertation introduces the idea of SDN and its southbound protocol OpenFlow, then presents the formal…