Projects
Support tools for systems biology. KU Leuven
Development of Computational Methods to Detect Copy Number Alterations in Human Genomes KU Leuven
Algorithms for Analyzing Biological Sequences KU Leuven
Kernel Based Methods for Microarray and Mass Spectrometry Data Analysis KU Leuven
Microarray and mass spectrometry data sources measure the activity and/or expression of thousands of genes and proteins, respectively, on a given set of biological samples. Analysis of the information contained in such samples has become a crucial activity in cancer research during the ...
Cooperation VUB-ULB: IB^2 project Vrije Universiteit Brussel
The missions of the (IB)² consist of ...
Ecological role of cyclic lipopeptides from plant-beneficial Pseudomonas KU Leuven
Cyclic lipopeptides (CLPs) are specialized bacterial metabolites that show amazing structural diversity. Collectively, non-pathogenic Pseudomonas bacteria produce a variety of CLPs. In this study, representatives of known CLP families and novel CLPs discovered by genome mining will be functionally characterized with respect to their contribution to bacterial motility, biofilm formation, and phytopathogen inhibition.
Generic Machine Learning algorithms for Real-time Human-Computer Interaction KU Leuven
The goal is to build a generic classifier for gesture interaction applications. This kind of applications use directed, conscious intentional interactions that are clearly defined in time and space, for example gestures for selection and manipulation. The classifier needs to be generic and can be applied to different types of sensors and different gestures.The sensors which will be discussed are inertial measurement units (a combination of ...
Online Tracking Technologies and Web Privacy KU Leuven
In my PhD thesis, I would like to study the problem of online privacy with a focus on Web and mobile applications. Key research questions to be addressed by my study are the following: How can we formalize and quantify web tracking? What are the threats presented against privacy by different tracking techniques such as browser fingerprinting and cookie based tracking? What kind of privacy enhancing technologies (PET) can be used to ensure ...
Multimodal Signal Analysis for Unobtrusive Characterization of Obstructive Sleep Apnea KU Leuven
Obstructive sleep apnea (OSA) is the most prevalent sleep related breathing disorder, nevertheless subjects suffering from it often remain undiagnosed due to the cumbersome diagnosis procedure. Moreover, the prevalence of OSA is increasing and a better phenotyping of patients is needed in order to prioritize treatment. The goal of this thesis was to tackle those challenges in OSA diagnosis, by means of advanced signal processing algorithms, ...