Projects
A-DATADRIVE-B: Advanced Data-Driven Black-box modelling. KU Leuven
Making accurate predictions is a crucial factor in many systems (such as in modelling energy consumption, power load forecasting, traffic networks, process industry, environmental modelling, biomedicine, brain-machine interfaces) for cost savings, efficiency, health, safety and organizational purposes. In this project we aim at realizing a new generation of more advanced black-box modelling techniques for estimating predictive models from ...
Advanced modelling and characterization for power semiconductor materials and technologies KU Leuven
The proposed project AddMorePower aims to advance X-ray- and electron-probe related characterization techniques to make them quantitative and automated tools for the power semiconductor industry, and to refine modelling (using MODA) and FAIR data-management methods to enhance and efficiently use characterization data (using CHADA). Thereby, AddMorePower will promote the materials integration and development for European power semiconductor ...
Translational and Transdisciplinary research in Modelling Infectious Diseases Hasselt University
Exploring Duality for Future Data-driven Modelling KU Leuven
Future data-driven modelling is increasingly challenging for many systems due to higher complexity levels, such as in energy systems, environmental and climate modelling, traffic and transport, industrial processes, health, safety, and others. This requires powerful concepts and frameworks that enable the design of high quality predictive models. In this proposal E-DUALITY we will explore and engineer the potential of duality principles for ...
Dynamic MOdelling of REsilience KU Leuven
The project DynaMORE (Dynamic MOdelling of REsilience) exploits advanced mathematical modelling for the promotion of mental health and well-being. DynaMORE will generate the first personalised in-silico model of mental health in the face of adversity, that is, stress resilience. The model will be based on and validated against unique multi-scale longitudinal real-world empirical data sets. The development and testing of the model will ...
Innovation in modelling Placenta for Maternal and Fetal Health KU Leuven
The placenta is the least understood human organ but arguably one of the most important”-NIH Human Placenta Project . Innovation in Modelling Placenta for Maternal and Fetal Health (iPLACENTA) is a European Training Network (ETN), and will act as a springboard for promoting international, intersectoral and multi/inter-disciplinary training, career development and collaboration of fifteen early-stage researchers (ESRs) in Maternal and Fetal ...
Computer modelling and experimental validation of plasmas and plasma- surface interactions, for a deep insight in cryogenic etching (Cryoetch). University of Antwerp
A Synergetic Training Network on Energy beam Processing: from Modelling to Industrial Applications KU Leuven
With the use of more advanced, but difficult-to-cut materials, on ever-more sophisticated products, the need to further develop and utilise the particular capabilities of the energy beam (EB) processing techniques seem to become a key enabler for the European industry. Although they are of various nature, a set of key communalities can be identified among EB methods when considered as dwell-time dependent processes; this allows the treatment ...
Generally Accepted Reliability Principle with Uncertainty modelling and through probabilistic Risk assessment. KU Leuven
Power system reliability management means to take decisions under increasing uncertainty (for instance, related to renewable generation). It aims to maintain power system performance at a desired level, while minimizing the socio-economic costs of keeping the power system at that performance level. Seven TSOs (Belgium, Bulgaria, Czech Republic, Denmark, France, Iceland, Norway), together with eleven RTD performers, propose the four year ...