Projects
Time and Numbers, or the when and where of attentional processing: A psychophysiological approach using the SSVEP KU Leuven
Daily activities require our brain to selectively attend to aspects of the environment that are most relevant to guide and monitor our behavior and to avoid undesirable outcomes of our and other’s actions. Because prioritizing and processing relevant information may be highly demanding, and thus difficult to maintain at all times, our brain needs to properly select and filter different features (e.g., based on location, physical features such ...
Neurobotics: blended brain-machine control for human assistance using hybrid smart systems KU Leuven
Enabling high-throughput multimodal sensing in three-dimensional cell cultures using novel high-performance CMOS circuits KU Leuven
It has been shown that electrical stimulation of the visual cortex through implanted microelectrode arrays (MEAs) can create the perception of sight in visually impaired subjects. However, the current state-of-the-art electrode implants only allow the stimulation of hundreds of brain locations, which is insufficient to create a usable image of the world that can enable basic navigation or advanced sight. Advanced integrated-circuit ...
Signal Processing Algorithm Design for Next-Generation Neuro-Sensor Technology KU Leuven
The possibility to chronically monitor the brain 24/7 in daily-life activities would revolutionize human-machine interactions through the use of brain-computer interfaces (BCI) and would allow for ambulant monitoring of patients with neurological disorders. Such chronic systems must satisfy challenging energy and miniaturization constraints, leading to modular designs in which multiple networked miniature neuro-sensor modules are ...
Real-time multiway decoding of performed, observed and imagined movement electrocorticography supported by avatar-based user training Ghent University
Brain-Computer Interfaces (BCIs) decode brain activity with the aim to establish a communication
channel that does not rely on muscular control. BCIs usually rely on EEG signals acquired from the
subject's scalp or on electrophysiological signals from brain implants. The latter yield a superior
decoding performance, but as the implant damages the cortical tissue, long-term signal stability is a
...
Micro and nano engineered Bi-directional carbon interfaces for advanced peripheral nervous system prosthetics and hybrid bionics (MERIDIAN). University of Antwerp
Conceptual model structure identification and calibration for river and sewer systems. KU Leuven
Keywords: river; sewer; integral water management; conceptual modelling; water quantity modelling; model structure identification and calibration; software
Water management is constantly evolving. Trends, such as population growth, urbanization and climate change, pose new challenges to water management. Risks and uncertainties have to be taken into account in order to develop strategies that remain cost-effective on the long term. ...
BALaTAI: Belgian Art Links & Tools for Artificial Intelligence Ghent University
The FED-tWIN research profile BALaTAI is a collaboration between the Royal Institute for Cultural Heritage in Brussels and the Research Group for Artificial Intelligence and Sparse Modelling (GAIM) of Ghent University. The goal of the research is to valorize KIK-IRPA’s digital collection and to raise new research questions with innovative artificial intelligence-technologies. These technologies will be applied to the digital art-historical ...
Non-contact Automatic Structural Health Monitoring using Unmanned Aerial Vehicles KU Leuven
This research aims to develop a non-contact, automatic structural health monitoring system (SHM) for operational management and dynamic data access of existing damage prone structures. Unmanned ariel vehicle (UAV) equipped with vision and infrared cameras and using convolution neural network (CNN) algorithm would be implemented for automatic crack detection. Features such as stains, frequencies and accelerations would be extracted for ...