Projects
Silicon-photonics-based laser spectroscopy platform: towards a paradigm shift in environmental monitoring and health care Ghent University
In this project the principal investigator (PI) and his team will bring together the field of silicon nanophotonics with the field of laser spectroscopy. The key question being addressed is: how can the powerful concepts of high-index-contrast nanophotonics be combined with the extreme accuracy of silicon technology and with the performance of hybrid silicon/III -V integration in order to create system -on -chip functionalities for advanced ...
Preparation action for monitoring of environmental pollution using honeybees Ghent University
Environmental monitoring of pesticide use through honeybees - CITIZEN SCIENCE INVESTIGATION FOR PESTICIDES IN APICULTURAL PRODUCTS Ghent University
New strategies for monitoring and risk analysis of hazardous chemicals in the marine environment 'Passive Samplers' Ghent University
The NEWSTHEPS project will develop innovative approaches and novel practical techniques that address the current fundamental scientific and methodological issues related to the implementation of Good Environmental Status (GES) for Descriptor 8 of the Marine Strategy Framework Directive in national and European waters.
In this research project, novel and integrated passive sampler (PS)-based approaches (modelling and measurements) ...
Design and implementation of Flemish monitoring programmes for the natural environment of Natura 2000 habitat types Research Institute for Nature and Forest
Scientific justification of a qualitative, effective and efficient monitoring of the Sustainable Development Center of the Ministry of Environment University of Antwerp
MBAG - MNE preparation (= Monitoring Programme for the Natural Environment) Research Institute for Nature and Forest
ACMON: Robust Acoustic Monitoring in Industrial Environments KU Leuven
ACMON: Robust Acoustic Monitoring in Industrial Environments
Robustify: Condition monitoring robust against machine variations and dynamic environments KU Leuven
The main goal of the project is to develop a new integrated method for condition monitoring (CM) of rotating machines using a hybrid approach. This approach integrates physical modelling, signal processing and machine learning into one robust condition assessment methodology.