Projects
Parameter estimation and real-time prediction of Dengue outbreaks using model averaging Hasselt University
Towards individualized treatment prediction and real-time follow-up of metastatic colorectal cancer patients using methylation biomarkers. University of Antwerp
Real-time motion planning and fast model predictive control for serial robots operating in free space KU Leuven
This project focuses on optimal contact-free motion control of serial robots operating in changing environments. Changing environments require real-time motion planning, which is very challenging due to complex robot kinematics and dynamics and continuously changing collision constraints. Given this complexity, motion planning problems are commonly solved in a two-step approach, decoupling the planning of the geometric path from the planning ...
Realtime Estimation and Prediction of Kinematics, Dynamics and Events for Assistive Robotic Devices: Contributions towards Assistance-as-needed KU Leuven
This PhD research focuses on the development of theories and software for assistive robot technology. The targeted audience are people that are weakened (e.g. by age, by a muscle disease, by a stroke, …) but are still able to move their limbs. The weakness however results in a decrease in mobility, which can lead to difficulties for the daily tasks.
The goal of the research is to investigate how robotic devices can assist these people ...
Fermentomics: development of an integrative real-time metabolomics approach for the enhanced production of biochemicals: a case study for innovative biosurfactant molecules Ghent University
Surfactants are surface-active agents applied in many aspects and products in our daily lives. Biosurfactants are fully bio-based surfactants and a new type of innovative microbial biosurfactants, bola sophorosides, has recently been developed at InBio.be. However, the low productivities of the biosynthesis do not allow the process to be economically viable. This will be tackled in this project by performing bioprocess development in ...
Real-time data assisted process development and production for chemical applications KU Leuven
The aim of the project is to facilitate the transition of chemical / pharmaceutical companies to industry 4.0, ie the integration of digital technologies and automation in production and logistics and the use of Industrial Internet of Things (IIoT), data analysis and digitized services in industrial processes. This goal is pursued by on the one hand proving technological proof-of-concepts for three test cases of three chemical / ...
Performance of supersaturating drug delivery systems in real-life conditions: in vivo characterisation of gastric drug behavior supporting the development of predictive tools. KU Leuven
Once marketed, drugs may suffer from suboptimal performance as they are often taken with meals and/or beverages not accounted for during clinical trials. Any ingested formulation will initially reside in the stomach where exposure to a variety of internal (e.g. pH and motility) and external factors (e.g. co-administration of beverages and foods) potentially influences intragastric formulation disintegration and drug dissolution. As this ...
Upscaling (real-time) sensor data for EU-wide monitoring of production and agri-environmental conditions Ghent University
Agriculture sensors provide data assisting farmers in monitoring and optimising crops by adapting to changes in the environmental conditions. Integrating these data with other data derived from satellites could further enhance regional agricultural monitoring but would require a paradigm shift in the data ownership and governance models. The vision of the EU-funded ScaleAgData project is to gain insight into how integrated data streams should ...