Projects
Synthesising Inductive Data Models KU Leuven
Inspired by recent successes towards automating highly complex jobs like programming and scientific experimentation, the ultimate goal of this project is to automate the task of the data scientist when developing intelligent systems, which is to extract knowledge from data in the form of models. More specifically, this project wants to develop the foundations of a theory and methodology for automatically synthesising inductive data models.An ...
Complex microbial ecosystems multiscale modelling: mechanistic and data driven approaches integration. KU Leuven
European dairy industry is an important agri-food sector; it represents more than 300,000 jobs and 10 billion € positive trade balance. Five out of the ten top global dairy companies are European and more than 80% of European companies are SMEs. More than 300 cheeses and dairy products are sold all over the world and are protected as geographical indications or traditional specialties. Mastering cheese-ripening processes to avoid sanitary ...
Speech Encoding in Impaired Hearing Ghent University
The prevalence of hearing impairment amongst the elderly is a stunning 33%, while the younger generation is sensitive to noise-induced hearing loss through increasingly loud urban life and lifestyle. Yet, hearing impairment is inadequately diagnosed and treated because we fail to understand how the components that constitute a hearing loss impact robust speech encoding. A recent and ground-breaking discovery in animal physiology demonstrated ...
Cracking the Anterior Cingulate Cortex Code: Toward a Unified Theory of ACC Function Ghent University
Anterior cingulate cortex is one of the largest riddles in cognitive neuroscience and presents a major challenge to mental health research. ACC dysfunction contributes to a wide spectrum of psychiatric and neurological disorders but no one knows what it actually does. Although more than a thousand papers are published about it each year, attempts to identify its function have been confounded by the fact that a multiplicity of tasks and ...
Computational Horizons in Cancer: Developing Meta- and Hyper-Multiscale Models and Repositories for In Silico Oncology. KU Leuven
Developing robust, reproducible, interoperable and collaborative hyper-models of diseases and normal physiology is a sine qua non necessity if rational, coherent and comprehensive exploitation of the invaluable information hidden within human multiscale biological data is envisaged. Responding to this imperative in the context of both the broad Virtual Physiological Human (VPH) initiative and the paradigmatic cancer domain, CHIC proposes the ...
MLMC-PinT4Data: Parallel-in-time micro-macro Monte Carlo methods for uncertainty quantification and data assimilation KU Leuven
With the exponential increase of computational power, numerical simulation has become a routine tool in many scientific domains. However, the shift towards massive parallelism poses numerous challenges for algorithm design: parallelization must be considered from the outset of algorithm design. Recent successes have established the potential of parallel-in-time (PinT) integration as a powerful algorithmic paradigm, in addition to other forms ...
Quantum Information Access and Retrieval Theory (QUARTZ) Vrije Universiteit Brussel
We aim to establish an European Training Network (ETN) on QUantum information Access and Retrieval Theory (QUARTZ). Towards a new approach to Information Access and Retrieval (IAR) addressing the challenges of the dynamic and multimodal nature of the data and user interaction context, QUARTZ aims to educate its Early Stage Researchers (ESRs) to adopt a novel theoretically and empirically ...
Quantum and String Cosmology with Branes and Fluxes KU Leuven
This proposal promotes a research program in theoretical cosmology to be carried out by M. Schillo at the Institute of Theoretical Physics at K.U. Leuven. The aim of the research will be to address two of the pressing issues in modern cosmology: the lack of a reliable framework in which we can describe accelerating, vacuum dominated universes (such as our own), and the necessity for a theory of quantum gravity to describe the early universe. ...
Dependable performance on many-thread processors (DPMP) Ghent University
Contemporary microprocessors seek at improving perfomance through thread-level parallelism by co-executing multiple threads on a single microprocessor chip. Many-thread processors, however, lead to non-dependable performance: co-executing threads affect each other's performance in unpredictable ways because of resource sharing across threads. DPMP envisions that performance introspection using a cycle accounting architecture that estimates ...