Projects
Optimization of technology-enhanced collaborative work in educational and professional context. KU Leuven
Although the value of collaborative problem solving (CPS) is widely recognized, successful teamwork is not guaranteed. Previous work in the field of Computer-Supported Collaborative Learning has found that teachers in educational contexts and learning coaches in professional contexts often lack the knowledge about how CPS can best be taught. Moreover, the tools to support and objectively assess CPS are currently unavailable. This is ...
Study of the possibilities and optimization of information exchange in the context of environmental enforcement Hasselt University
ROSS (Robust optimization and scenario selection) in the context of proton therapy treatment planning KU Leuven
Characterization of zinc tolerance genes in the ectomycorrhizal fungus Suillus luteus in the context of the optimization of plant-stabilization of metal-polluted soils. Hasselt University
COMEX : Combinatorial optimization: Metaheuristics and Exact Methods Hasselt University
Optimisation of cone beam computed tomography for dentomaxillofacial applications KU Leuven
Newton-type operator splitting methods for real-time optimization of cyberphysical systems KU Leuven
Operator splitting techniques, introduced in the 50's for solving PDEs and optimal control problems, have been successfully used to reduce complex problems into a series of simpler subproblems. They have recently received an enormous renewed interest due to their ability in handling large-scale and embedded convex optimization problems, and thus have found numerous applications in real-time control, machine learning, data mining and signal ...
Optimization frameworks for deep kernel machines KU Leuven
Operator Splitting Techniques and Their Application to Embedded Optimization Problems KU Leuven
Efficient first-order algorithms for large-scale distributed optimization is the main subject of investigation in this thesis. The algorithms considered cover a wide array of applications in machine learning, signal processing and control.
In recent years, a large number of algorithms have been introduced that rely on (possibly a reformulation of) one of the classical splitting algorithms, specifically forward-backward, ...