Projects
Novel architectures for advanced sensing based on 2D materials platforms KU Leuven
Among forefront applications of 2D materials such as graphene (GR) and transition metal dichalcogenides (TMDs) the detection of sub-ppm concentrations of small molecules on a background of strongly interfering gas mixtures is currently challenging physics, chemistry and device engineering and requires an in-depth knowledge of molecule- surface interactions at the nanoscale. These materials provide a unique opportunity to discover new sensing ...
Data-driven ESG risk governance in international business KU Leuven
Probabilistic nowcasting and forecasting of extreme precipitation for impact-based warning systems. KU Leuven
This research profile aims to address this growing need by providing the scientific basis for impact-based warning systems that cover a range of time scales while capturing the associated uncertainties. It will accomplish this by means of a unique integrative approach that considers the whole chain from the observations to the risk assessment for the end user, fully exploiting the probabilistic information at every step. This approach ensures ...
Spiking Control Systems: an algorithmic theory for control design of physical event-based systems KU Leuven
Machines compute with bits and clocks, animals compute with spikes and rhythms. The promise of neuromorphic engineering is that we could transform digital technology by imitating the spiking nature of animal computation, combining analog adaptation and digital reliability.
Thirty years after Carver Mead’s initial proposal, event cameras have become a technology and neuromorphic computing has become an intense focus both in academia ...
Tensor Tools for Taming the Curse Ghent University
One of the grand scientific challenges is to overcome the curse of dimensionality in the data and physical sciences. The central theme of this proposal is that we can overcome this exponential wall by adopting and developing low-rank tensor approximations of the relevant spaces. To achieve this, we will tackle central mathematical problems such as tensor factorizations, tensor completion and the construction of tropical tensor networks, delve ...
Neuromorphic computing Enabled by Heavily doped semiconductor Optics Ghent University
NEHO will develop a novel photonic integrated circuit platform that enables ultrafast and low-energy consumption neuromorphic information processes by means of a newly developed nonlinear photon-plasmon semiconductor technology at mid-infrared wavelengths (8-12 μm). NEHO vision will be achieved by unconventional use of semiconductors to optimize and control plasmonic effects that will provide the optcial nonlinearity required to implement the ...