1,417 search results for “liacs” in the Public website
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Unraveling temporal processes using probabilistic graphical models
Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.
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Applying data mining in telecommunications
This thesis applies data mining in commercial settings in the telecommunications industry.
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Machine learning and computer vision for urban drainage inspections
Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.
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Automata-theoretic protocol programming
Promotor: F. Arbab
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Spectral imaging and tomographic reconstruction methods for industrial applications
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.
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Computational optimisation of optical projection tomography for 3D image analysis
Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.
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Estimation and Optimization of the Performance of Polyhedral Process Networks
Promotor: E.F.A. Deprettere, Co-Promotor: A.C.J. Kienhuis
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Combining monitoring with run-time assertion checking
Promotor: Prof.dr. F.S. de Boer
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Actors at work
Promotor: F.S. de Boer Co-promotor: P. T. de Gouw
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Evaluation of Different Design Space Description Methods for Analysing Combustion Engine Operation Limits
Promotor: Prof.dr. T.H.W. Bäck
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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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Many objective optimization and complex network analysis
This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.
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Fostering Curiosity Through Video Games
This thesis manuscript explores the use of video games as tools for conceptual exploration and academic research.
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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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Visual Relation extraction Based on Deep Cross-media Transfer Network
Building a Deep Cross-media Transfer Network to extract visual relations that relieve the problem of insufficient training data for visual tasks.
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Contact
Do you have any questions about the master’s programme Bioinformatics? Please contact us.
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Programme structure
This programme is aimed at students who have a strong interest in programming and computer science, as well as an interest in the cognitive psychology and artificial intelligence.
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On the Power Efficiency, Low latency, and Quality of Service in Network-on-Chip
In multi/many-core System-on-Chips (SoCs), the performance is almost linearly scaling with the number of processing elements.
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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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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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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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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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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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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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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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Deep learning for visual understanding
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.
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Fiji
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.
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Image analysis for gene expression based phenotype characterization in yeast cells
Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek
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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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SAILS Lunch Time Seminar: Derya Soydaner
Lecture
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Science Minor Information Market
Study information
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LUdev software development by students
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…
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SAILS Lunch Time Seminar: Josette Daemen
Lecture
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SAILS Lunch Time Seminar: Friso Selten
Lecture
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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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Multi-objective Evolutionary Algorithms for Optimal Scheduling
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…
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Software development by abstract behavioural specification
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.
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An Online Corpus of UML design models: Construction and empirical studies
Promotores: J. Kok, M. Chaudron (Chalmers University)
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Artificial Intelligence, Games and Education
Video games have emerged as one of the most interesting media of the turn of the century. The peculiar characteristic of video games is the biunivocal interaction between the computer and the human player.
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creatIef, Creatiever, creaTiefst? Onderzoek naar het belang en de werking van creativiteitstraining bij Bachelor ICT-studenten
This dissertation presents the results of the importance of creativity for ICT-students of Dutch universities of applied sciences (in Dutch: hogescholen), and the functioning of training courses that aim to promote creative abilities is highlighted.
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Quality-driven multi-objective optimization of software architecture design: method, tool, and application
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich
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Schedule
The Gorlaeus Building will be constructed in three phases, with the new building due to be completed by 2028.
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Advancing Learned Algorithms for 2D X-ray Computed Tomography
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.
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PA-AutoML
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
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Towards High Performance and Efficient Brain Computer Interface Character Speller: Convolutional Neural Network based Methods
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…
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ANO-NET: Anonymity in Complex Networks
This project develops methods for ensuring the anonymity of individuals in social network data.
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Exploratory Data Mining in Multimodal data
The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…
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The role of 14-3-3 proteins in ion homeostasis in the yeast Saccharomyces cerevisiae
We aim to understand ion homeostasis in the model eukaryote S. cerevisiae.
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Cyber-Security-by-Integrated-Design (C-SIDe) project
Cyber-attacks, privacy-related problems or failures in functioning: many technologies that are used every day have security issues that are solved when the software is already in use. An interdisciplinary project, in which Olga Gadyatskaya, Harry Wijshoff, Alex Uta and Kristian Rietveld from the Leiden…
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