Projects

URINIS aims to test the feasibility and efficiency of the urine nitrification bioprocess under space conditions on ground and in space. First the experiment requirements for the flight tests were defined (URINIS ground). Next, this URINIS-A proposal describes the flight hardware optimization and biological ground experiments that need to be performed prior to the scheduled URINIS-A experiment in the ISS. The purpose of URINIS-A is to ...

Het verre infrarood is een belangrijk golflengtegebied om de oorsprong van sterrenstelsels, sterren en planeten te begrijpen. SPICA is een voorgestelde Europees-Japanse infrarood-ruimtemissie die recent is geselecteerd door de ESA als een kandidaat M5 missie in haar Cosmic Vision programma. Het B-BOP instrument aan boord van SPICA zal gevoelige imaging en polarimetrische mapping mogelijk maken, met toepassingen gaande van filamenten en ...

Advances in sensor and computing technology are continuously making the acquisition and storage of data more efficient. Statistical modelling and analysis can be used to extract useful insights from data, but are often accompanied with several challenges. In this project, we will develop statistical methods that are generic applicable to study and monitor biological & industrial processes .

Congo’s wooden baleinières (Fr. whaleboats) are locally developed and crafted socio-technical assemblages that account for up to 50% of all transportation of goods and people on the waterways of the Congo Basin. Despite the vital role of these subaltern technologies of transportation for the livelihoods of millions, the socio-technical complexities responsible for their success have never been studied. Rooted in older boat building traditions ...

Micro/nano-electromechanical system (M/NEMS) resonant mass sensors have attracted utmost interest over the past two decades. This is due to their wide range of applications, especially in biochemistry, for instance weighing single molecules, nanoparticles, and even monitoring the growth of living cells. However, their performance is significantly decreased when operated at ambient air and measurements take a considerable time. Therefore, ...

Plant phenotyping studies or studies that monitor of animal or human behavior often rely on the collection and analysis of high-dimensional and (spatio-) temporal datasets. In this research project, probabilistic programming approaches will be developed that allow to incorporate prior knowledge on the study objects (e.g., shape or behavior) into the data analysis pipeline to make the analysis more robust.