Projecten
Dualiteit verkennen voor toekomstige gegevensgestuurde modellering 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 ...
Europees opleidingsnetwerk over Gray-Box-modellen voor veilige en betrouwbare intelligente mobiliteitssystemen KU Leuven
The GREYDIENT innovative training network aims at training a next generation of Early Stage Researchers (ESR) to fully sustain the ongoing transition of European personal mobility towards safe and reliable intelligent mobility systems via the recently introduced framework of grey-box modelling approaches. One of the main challenges that we currently face in this context is the integration of the data captured from the plenitude of sensors ...
Datagestuurde simulatie, onzekerheidskwantificering en optimalisatie voor hyperbolische en kinetische modellen KU Leuven
Europe faces major challenges in science, society and industry, induced by the complexity of our dynamically evolving world. To tackle these challenges, mathematical models and computer simulations are indispensable, for instance to design and optimize systems using virtual prototypes. Moreover, while the big data revolution provides additional possibilities, it is currently unclear how to optimally combine simulation results with observation ...
Terug naar de basis van datagedreven dynamische systeemidentificatie KU Leuven
To obtain data-driven dynamic models for simulation, prediction, monitoring, classification or control tasks, in applications e.g. in Industry 4.0 and eHealth, most identification methods ‘solve’ an optimization problem, relying on some nonlinear iterative algorithm. Undeniably, too many heuristics prevail: What do we mean by ‘solved’? Where did the algorithm converge to? Is the model globally optimal, unique and reproducible?
To tackle ...
A-DATADRIVE-B: Geavanceerde Data-gedreven Black-box modellen. KU Leuven
Predictieve modellering is een cruciale factor in vele systemen (bv. energieverbruik, verkeersnetwerken, procesindustrie, biomedisch, brein-machine interacties) voor kosten-besparingen, efficientie, gezondheid, veiligheid en organisatorische doeleinden. In dit project willen we een volgende generatie van geavanceerde black-box modellen ontwikkelen. We zullen verschillende kaders voor optimalisatie-modellering bestuderen. Modellen zullen ...
Onderzoek en innovatie Uitwisseling van personeel Netwerk van Europese data-wetenschappers KU Leuven
NeEDS responds to the massive scientific and technological challenges that the very rapidly growing field of Data Science has created for users and producers of data in Europe and world-wide. The challenges stem from the complexity of the data, the completely novel questions posed to data scientists, as well as the need of non-experts to visualize and interact with the knowledge extracted from data in order to aid data-driven decision-making. ...
Verder dan het oplossen van statische datasets: diepgaand leren van streaming data KU Leuven
Data is key for modern AI solutions, especially deep learning. Unfortunately, the data-driven nature of deep learning that makes it so powerful when dealing with complex and high-dimensional data, is also at the core of its main weakness: a model is only as good as the data it builds on. In this project, we want to tackle some strong limitations inherent to the standard machine learning paradigm, which makes restrictive assumptions that are ...
De kwaadaardige Glioma-immuno-oncologie-matchmaker: naar datagestuurde precisiegeneeskunde met behulp van ruimtelijk opgeloste radio-multiomics KU Leuven
Adult and paediatric malignant glioma (GBM and pHGG) remain among the most difficult-to-treat cancers with 5-year survival rates of <5% despite intensive standard-of-care therapy. The differences among patients and the heterogeneous and plastic nature of each individual tumour have resulted in all therapeutic clinical trials failing during the past 20 years. Recently, immunotherapy has been showing great promise, but only in subsets of ...
Slimme, bewuste, geïntegreerde besturing van windparken in interactie met Digital Twins (ICONIC) KU Leuven
ICONIC aims to develop innovative physical and digital tools to achieve fundamental breakthroughs for the integrated control of wind farms, considering the whole physical system at farm, turbine, and component levels, in particular the complex aerodynamic interactions among turbines. ICONIC aims to increase farm-wide power production by 15-20% under optimal wind speeds and directions for typical wind farms suffering from wake effects, with a ...