98 search results for “verbeek” in the Public website
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Fons Verbeekf.j.verbeek@liacs.leidenuniv.nl | 071 5275773
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Bruno VerbeekFaculty of Humanities
b.verbeek@phil.leidenuniv.nl | 071 5272030
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Nicolas Konstantin VerbeekFaculteit Governance and Global Affairs
n.k.verbeek@fgga.leidenuniv.nl | 070 8009500
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Bruno Verbeek: 'If your teaching is going well, you have to innovate'
Three Humanities lecturers received the Senior Qualification in Education (SKO) this year. University lecturer Bruno Verbeek is one of them. What does he think makes for good education?
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Wim Willems and Hanneke Verbeek are the winners of the Die Haghe prize of 2016
Wim Willems and Hanneke Verbeek were awarded with the Die Haghe Prize of 2016 for their book ‘Hier woonden wij. Hoe een stad zijn Joodse verleden herontdekt’ (English: ‘This is where we lived. How a city re-discovers its Jewish past.’) It is an exciting book about the rise and fall of the Jewish community…
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- Lecturers
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Mortality and HyperImage: Visual analytics techniques for biomarker discovery in massive 3D-omics datasets
Over the past decade, several novel types of spatially resolved
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Towards an Interspecies Health Policy: Great Apes and the Right to Health
Many dangerous diseases such as COVID-19, Ebola and Q fever have jumped from animals to humans. But it is not only because of these diseases that we should include animals in our health policy, but also because of their right to health.
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Staff members
These are the staff members of the Leiden - Latin America and the Caribbean Centre
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Interaction with sound for participatory systems and data sonification
This thesis deals with the use of sound in interactions in the context of participatory systems and data sonification. We investigate an interactive environment where participants perceive information of the data through sound elements.
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Symposium on Interdisciplinary Research
On 8 November 2021 YAL organized the successful symposium Interdisciplinary Research: Challenges and Opportunities.
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Publications
This is an incomplete list of scientific publications by students and staff of the Creative Intelligence & Technology MSc programme.
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Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
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Insights from modeling metabolism and amoeboid cell motility in the immune system
This thesis focuses on two processes involved in fighting infections: metabolism and immune cell motility and navigation.
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Exploring graph-based clustering and outlier detection algorithms
In the era of big data, extracting insights from complex datasets is a key challenge. This thesis demonstrates the superiority of graph-based methods over traditional clustering (e.g., k-means, DBSCAN) and outlier detection for analyzing high-dimensional and noisy data.
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Aspects of the analysis of cell imagery: from shape to understanding
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.
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Reasons and Intentions
There are a number of problems in philosophy that seem to share a similar possible solution: 'Why do promises and contracts bind?', 'Why ought citizens and judges obey the law?' and 'Can we realize the gains to be made from cooperation?'. All three problems (as well as some others) share a possible…
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Grip on software: understanding development progress of SCRUM sprints and backlogs
Software development is a complex process. It is important that software products become stable and maintainable assets.
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Using Deep Learning Models in Image Processing
Deep learning has revolutionized image processing, enabling remarkable advances in fields from autonomous driving to medical diagnostics.
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Deep imaging
A computer can look at, and learn from, many more images than a human specialist. AI systems are rapidly becoming indispensable for medical and biological applications. But they still have to learn how to explain their decisions.
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From pixels to patterns: AI-driven image analysis in multiple domains
This thesis investigates the application of deep learning techniques in image analysis across various domains, focusing on four main themes: feature extraction, classification, segmentation, and integration, demonstrating the transformative potential of these technologies.
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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
- Publications
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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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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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Knowledge Extraction from Archives of Natural History Collections
Natural history collections provide invaluable sources for researchers with different disciplinary backgrounds, aspiring to study the geographical distribution of flora and fauna across the globe as well as other evolutionary processes.
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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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Visual analytics for spatially-resolved omics data at single cell resolution: Methods and Applications
The deeper understanding of an organism's pathology is important for developing treatments. Over centuries of systematic research, clinical researchers have demonstrated that the more information they acquire about the cellular properties and their organisation in the tissue, the better they can understand…
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The Function of Toll-like receptor 2 in Infection and Inflammation
The function of TLRs in innate immunity has aroused worldwide attention soon after its discovery. Because of the broad functions of TLR2 in innate immunity, the drive for the development of TLR2-targeted vaccines or therapeutic treatments has accelerated in the last decades.
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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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Towards a Relational Approach to Understanding Interactions in Interactive Art
This thesis introduces a relational interaction model and a practical tool for describing, visualising and generating interactive dialogues.
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Genomics applications of nanopore long-read sequencing for small to large sized genomes
In this thesis I highlight the applications of Oxford Nanopore Technologies (ONT) sequencing. This technique is a relatively new approach in the sequencing field, where nanopores are embedded in a membrane, DNA molecules are pulled through nanopores and an electrical current serving as the sequencing…
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Development of automatic image analysis methods for high-throughput and high-content screening
Promotor: B. van de Water, Co-Promotores: J.H.N. Meerman, F.J. Verbeek
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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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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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Design and development of a comprehensive data management platform for cytomics: cytomicsDB
Promotor: J.N. Kok, Co-promotor: F.J. Verbeek
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Multi Modal Representation Learning and Cross-Modal Semantic Matching
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.
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Computer Systems, Imagery & media
The Computer Systems, Imagery & media (CSI) research programme performs research on methods and techniques for the design, implementation and application of advanced computer systems, in particular parallel, distributed and embedded computer systems.
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About the programme
The programme consists of 60 EC, to be completed in one year.
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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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Predicting alcohol use disorder through machine learning
How to come to valid risk stratification of alcohol use disorder?
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Publications
For a full overview of the publications of the Translational Immuno-Pharmacology group, visit the Google Scholar page.
- About the programme
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Dalila Yunardid.h.yunardi@liacs.leidenuniv.nl | 071 5272727
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Zhan Xiongz.xiong@liacs.leidenuniv.nl | 071 5277063
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Jingmin Longj.long@liacs.leidenuniv.nl | 071 5274799