Projects
Design and validation of distributed EEG signal processing methods for a wearable network of galvanically independent recording units. KU Leuven
Epilepsy is one of the most common severely disabling brain conditions, affecting over 46 million people worldwide. It is characterised by recurring, sudden, excessive, synchronous electrical activity in neuronal networks that disrupt ongoing brain activity and causes clinical seizures. Diagnosis and follow-up of epilepsy typically relies on electroencephalography (EEG). Clinical EEG is a non-invasive electrophysiological measurement ...
Optimal design of steel structures according to the Eurocodes using mixed-integer linear programming methods KU Leuven
In structural design, achieving minimum cost is the main goal. Structural design optimization plays a crucial role in reaching this goal. It can reduce both the consumption of natural resources by the construction industry and the engineering effort and therefore cost by automation of some of the most repetitive tasks in the design process. However, practicing structural engineers are reluctant to adopt optimization as a daily design tool. ...
Design and Validation of Low-complexity Methods for Resolving Spike Overlap in Neuronal Spike Sorting KU Leuven
Despite many neuroscientific breakthroughs, it remains largely unknown how brain activity supports cognition. Obtaining such a fundamental understanding of the brain has the potential to foster new clinical applications aimed at improving functional deficits resulting from a 'malfunctioning' brain. The identification of causal relationships between brain activity and cognition depends on the real-time characterization of neural activity. By ...
Stability and Sensitivity Methods for Flow Control and Industrial Design KU Leuven
Every day, society is demanding more efficient, safer, affordable and environmental friendly products. To do that, industry needs to innovate by developing new methods and tools able to obtain superior performances of their competitors. This is the main topic of SSeCoID´s research: to develop new methods and tools for design in order to enhance their industrial performance. SSeCoID will demonstrate its innovations by applying the new methods ...
User-centered design of a Brain-Computer Interface headset using modern anthropometric methods KU Leuven
In this doctorate, the possibilities of 3D anthropometry for product development were explored by applying a statistical shape model of the human scalp to the design of more ergonomic brain-computer interface (BCI) headsets. First, a statistical shape model of the human scalp was created from a set of 100 MRI scans. This model was parametrized by intuitive anthropometric measurements and evaluated in terms of its ability to predict complete ...
Advanced model-based design optimisation methods for mechanical systems KU Leuven
Mechanical design engineers are often faced with the complexities of generating a geometry of a machine part that meets a range of requirements from weight, to vibrations, to durability. Over the past two decades, topology optimisation has been demonstrated to be a powerful tool to generate these geometric designs under various design requirements. However, for many mechanical engineering problems key challenges in deploying these methods ...
Post-Snowden Circuits and Design Methods for Security KU Leuven
Comprehensive set of circuits and design methods to create next generation electronic circuits with strong built-in trust and security. Electronics are integrating/invading into the human environment at an amazing speed, called the Internet-of-Things and next the Internet-of-Everything. This creates huge security problems. Distributed (e.g. body) sensors, pick up often very private data, which is sent digitally into the cloud, over wireless ...
Statistical methods for the analysis of surveys with an informative spatio-temporal sampling design. Hasselt University
Multilevel Uncertainty Quantification Methods for Robust Design of Industrial Applications KU Leuven
The size and complexity of mathematical models used in many areas of science and engineering is ever increasing. Likewise, the number of parameters used in these models is expanding. Uncertainty affects almost all of these parameters. Quantification of the effect of these uncertain parameters on the model output is coming to play an ever more important role in applications. This is the topic of uncertainty quantification ...