Projects
Design of novel signal processing algorithms for the detection and reconstruction of gravitational waves emitted by core-collapse supernovae KU Leuven
Since the first detection of gravitational waves (GWs) by the LIGO detectors of a binary black hole merger in 2015, many more binary mergers have been detected. A new generation of GW detectors will be build, whose improved sensitivity will allow the detection of core-collapse supernovae (CCSNe). Those detections can result in a better understanding of CCSNe, interaction between the fundamental forces of nature in extreme environments and ...
Development and Application of Novel Signal processing tools for the damagE detection on rotating machinery. KU Leuven
Signal detection and speech perception with binaural electrical stimulation in adults and children. KU Leuven
Estimation of nonstationary spatial noise maps for acoustic signal enhancement and detection KU Leuven
The SOUNDS European Training Network (ETN) revolves around a new and promising paradigm coined as Service- Oriented, Ubiquitous, Network-Driven Sound. Inspired by the ubiquity of mobile and wearable devices capable of capturing, processing, and reproducing sound, the SOUNDS ETN aims to bring audio technology to a new level by exploiting network-enabled cooperation between devices. We envision the next generation of audio devices to be capable ...
Advanced signal processing techniques for estimation and detection in digital communication, with application to ultra-wideband (UWB) transmission Ghent University
The project aims to investigate the performance of certain advanced receiver algorithms for the specific application of ultrawideband communication. To this end, special attention will be devoted to the optimalization of the ultrawideband system in an attempt to make the considered receiver algorithms more efficient.
Detection of new targets for the treatment of obesity using the cholecystokinin signal system in C. elegans. KU Leuven
In summary, we will contribute with a present project proposal to a solution to one of the most comprehensive medical problems of modern western society
Detection of Disturbances and Events in Biomedical Signals with Deep Learning KU Leuven
Biomedical signals are non-invasive data modalities that provide insight into processes taking place in the body and in specific organs. Electrocardiography (ECG) and electroencephalography (EEG) are two such modalities, meant to monitor the heart and brain respectively. Both provide a key tool for clinical experts in the diagnosis and follow-up of various pathologies, and for the general monitoring of the body. The signals capture changes in ...
Signaling changes in experience sampling data in real-time: Development and evaluation of statistical process control methods for detecting early warning signals of depression KU Leuven
Detecting early warning signals of impending depressive episodes would pave the way for timely intervention. Since depression is characterized by altered affective experiences, recent studies have investigated whether experience sampling (ESM) data regarding affective experiences in daily life may yield such early warning signals. In ESM studies, participants are instructed to report on their momentary affect at a number of measurement ...
Searching signals of supersymmetry with the CMS detector at the Large Hadron Collider Ghent University
Using proton-proton collisions delivered by the LHC and recorded by the CMS detector, we will search fpr signals of supersymmetry, a promising and popular extension of the Standard Model of particle physics.