Projects
Multi-modal signal processing algorithms for extraction of coupled sources in combined audio and EEG recordings. KU Leuven
One in five experiences hearing loss. The World Health Organization estimates that this number will increase to one in four in 2050. Luckily, effective hearing devices such as hearing aids and cochlear implants exist with advanced noise suppression and speaker enhancement algorithms that can significantly improve the quality of life of people suffering from hearing loss. State-of-the-art hearing devices, however, underperform in a so-called ...
Efficient Algorithms for Large-Scale Minimax Problems KU Leuven
Efficient algorithms for nonconvex minimax problems is the subject of investigation in this proposal. Such problems have recently emerged in a diverse range of applications related to robust learning and dynamical decision making in uncertain environments. For example, adversarial training that addresses the issue of sensitivity of machine learning models, or distributionally robust optimization that tackles decision making under uncertainty, ...
Communication-less protection algorithms for meshed HVDC grids. KU Leuven
For the large-scale integration of renewable energy sources into the power system, transmission corridors with power ratings and lengths greatly exceeding those in the existing power system will be needed. To realize these corridors, Voltage Source Converter High Voltage Direct Current (VSC HVDC) offers several advantages over the currently widely used ac technology. The use of VSC HVDC in a large-scale meshed grid can provide the major ...
Optimal Join Algorithms for Modern Distributed Data Systems Vrije Universiteit Brussel
ESCALATE: Efficient and Scalable Algorithms for Large Flow Detection KU Leuven
In the ESCALATE project, new algorithms will be developed and implemented for the detection of large data flows. Existing algorithms are effective and efficient for the detection of very large data flows (with a bandwidth that is, e.g., 100x larger than the allowed bandwidth). When the attack is mounted by several computers at the same time, it is, however, important to detect and block data flows that only exceed the allowed bandwidth to a ...
Development of high-order adaptive algorithms for simulating magnetic reconnection processes with uncertainty quantification KU Leuven
With the rapid advancement of technology and scientific knowledge, we witness every day tremendous progress in various fields of research and development leading to a better understanding of the world around us and opening up new avenues for exploration. Within the process, a growing reliance has emerged on cutting-edge numerical methods, as the most cost-effective tool, to conduct accurate simulations of complex problems. \\
The present ...
Stochastic and Asymptotic Improvements of Scheduling Algorithms University of Antwerp
Structured low-rank matrix / tensor approximation: numerical optimization-based algorithms and applications KU Leuven
Today's information society is centered on the collection of large amounts of data, from which countless applications aim at extracting information. They involve the manipulation of matrices and higher-order tensors, which can be viewed as large multi-way arrays containing numerical data. Key to their successful and efficient processing is the proper exploitation of available structure, and in particular low rank. This project aims to ...