Projects
Reducing the Carbon and Environmental Footprint of the Building Stock Using an Approach of Clustered Renovation. The Residential Building Stock of Leuven as a Case Study KU Leuven
The current renovation rate of the Belgian building stock is too low to reach the European climate goals. This research proposes a new approach of group renovations to increase the renovation efficiency and willingness to renovate. Through various research and construction projects, group renovations proved to be a good solution. However, these are currently only applied to similar buildings located in a single street or in uniform ...
Automated reconstruction of Building Information Model objects from point cloud data KU Leuven
As-built Building Information Models are becoming increasingly popular in the Architectural, Engineering and Construction industry. These models reflect the state of a building up to as-built conditions and are used in numerous applications such as refurbishment, facility management and project planning. The production of these models includes the acquisition of the structure with remote sensing techniques and the manual placement of the ...
Developing unsupervised learning techniques to detect mineral and geological structures using hyperspectral data. University of Antwerp
Predictive clustering for structured biomedical data. KU Leuven
In many areas of science, data is generated at an increasing pace, calling for adequate data mining tools to extract useful knowledge. Challenges encountered include the scale and the complexity (structure) of the data. An increasing number of new applications, including the analysis of complex biomedical data, motivate the adaptation of existing, and the design of new methodologies. In this project, we will develop new data mining methods to ...
Predictive clustering for structured biomedical data. KU Leuven
Multi-omics data integration to elucidate the causes of complex diseases Ghent University
Recent technological advances enable cost-efficient, high-throughput analysis of multiple biologic molecules and molecular interactions, which lead to a wealth of omics data: genome, epigenome, transcriptome, proteome, metabolome, ... The capacity to integrate multi-omics data, to something more than the sum of the existing data, is key to elucidating the causes of complex diseases such as neuro-inflammatory disorders and cancer. Multi-omics ...
Modeling High dimensional multivariate survival data with clustering using frailty and copula models. Hasselt University
Towards Reliable Land Cover Change Detection from Multi-Sensor Data (REALISE) Ghent University
Remote sensing is today crucial for many domains including environmental monitoring, natural disaster management, agriculture, urban planning, safety and security. The emergence of novel satellite constellations, rapid progress with unmanned area vehicles (UAV) and acquisition of novel types of imaging modalities with increasing spatial resolution and temporal revisit frequencies brings unprecedented potentials for various aspects of Earth ...
New statistical tools for analysing complex survey data in the social sciences Ghent University
Social research increasingly requires investigators to gather large and complex data that are frequently cross-national in nature. Using large questionnaires, skills, attitudes, and traits are measured and saved in huge datasets. A typical example of a complex dataset is the PISA study (Programme for International Student Assessment), a triennial international survey that aims to evaluate education systems worldwide by testing 15-year-old ...