Projects
Short-wave infrared widely tunable VCSELs on a III-V/silicon platform for sensors Ghent University
To be able to make cheap, small spectroscopes, we want to integrate the complete system on a silicon optical chip. The first requirement for this is an integrated light source that can scan the desired wavelength range. To achieve this, we are focusing on the hybrid III-V / Si platform, which can already present good results from integrated light sources.
Baekeland Mandate: Low power VCSEL arrays for high performance multi-beam LIDAR Vrije Universiteit Brussel
Study of the residual stresses in a thermoplastic filament winding process for high-pressure H2-storage vessels. KU Leuven
The target is to obtain a series of FEA-models that are capable of predicting the mechanical performance (burst-pressure) of thermoplastic composite high-pressure vessels for H2-storage applications. The project will start with an accurate characterization of both process and materials. Secondly, a thermal model and a process-model will be built that are able to predict the residual stress state and microstructure after winding. This result ...
Adaptive MPC-based automation and identification of inland surface vessels KU Leuven
Adaptive Model Predictive Control (AMPC) systems are an emerging and powerful alternative to controllers found nowadays in vehicles and industrial applications. MPC has the advantage of inherently dealing with the limitations of a system. Nonlinear AMPC, in particular, has the fewest requirements for simplifying constraints and models, making it intuitive to express and easy to implement once system models are known. Here, in return, more ...
Safety assurance of machine learning models in autonomous vessels KU Leuven
The PhD is to investigate how possible safety risks of machine learning models are linked to existing safety assurance principles, and how these issues can be addressed by the development of appropriate model robustness strategies. In this way, the aim is to increase the run-time safety of machine learning models in remotely operated and fully autonomous inland vessels and arrive at a substantiated safety assurance argument for these ...
A model predictive autopilot for autonomous inland vessels KU Leuven
The European Commission has confirmed the importance of shipping via inland vessels based on the EU green deal. It means there will be a growth in their utilization, which would result in a shortage of crew members to operate these vessels. Hence, it is essential to add autonomous features to the navigation systems to moderate the burden of the navigation from the crew’s shoulders so that operating a vessel requires fewer crew members. On the ...
Leaky vessels in the brain – unraveling disturbed mechanotransduction in Cerebral Cavernous Malformations KU Leuven
Cerebral Cavernous Malformations (CCM) are stacks of malformed
blood vessels in the brain. One in every 200 persons worldwide can
carry them and half are symptomatic (headaches, seizures, paralysis,
hearing/vision deficiencies, cognitive impairment). There is no
treatment yet and surgical resection is the only possible cure. An
interesting but still under studied aspect of the disease is its
connection with cell ...
Smart Docking: innovation for continuous monitoring of vessel's motions at berth. University of Antwerp
Autonomous UAV take-off and landing on moving vessels KU Leuven
This thesis focuses on the development of algorithms enabling the automatic take-off and landing of Unmanned Aerial Vehicles (UAVs) on moving vessels with confined landing areas. The thesis work includes the integration of the necessary novel sensing tools and the development of perception, planning and control algorithms and their incorporation in the Maritime Tactical Unmanned Aerial System (MTUAS) autopilot. The work description is ...