Projects
Below is a list of projects of which I am an active member.
European Pilot for Exascale EU Project
The EUPEX consortium aims to design, build, and validate the first EU platform for HPC, covering end-to-end the spectrum of required technologies with European assets: from the architecture, processor, system software, development tools to the applications.
Adaptive Multi-Tier Intelligent Data Manager for Exascale EU project
The EU project ADMIRE will create an active I/O stack that dynamically adjusts computation and storage requirements through intelligent global coordination, elasticity of computation and I/O, and the scheduling of storage resources along all levels of the storage hierarchy.
Hybrid Quantum-Classical Processing Workflows in Modular Supercomputing Architectures for Data-Intensive EO Applications
This project aims at developing hybrid quantum-classical processing workflows with HPC systems and quantum computing for Earth Observation applications.
Earth Observation & Weather Data Federation with AI Embeddings
The Copernicus Programme's full potential is realized when integrated with other geo-information like weather models or GNSS measurements. Yet, no single platform can hold the hundreds of petabytes of geospatial data. This project seeks to overcome these challenges by enabling efficient data exchange through AI-based data compression.
QC4EO Study
The main objective of this QC4EO study is to investigate whether Quantum Computing (QC) can provide a quantum advantage to Earth Observation (EO) applications within a medium to long timeframe (between the next 3-5 to 15 years). Specifically, the study aims to answer the following questions: How can QC enhance EO applications? What hardware developments are required to achieve this quantum advantage?
Fostering Advancements in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream Tasks in Earth Observation
The project aims to enhance the use of Multimodal Foundation Models in Earth Observation by adapting them for specific data types, improving multimodality, addressing computational constraints, and ensuring affordable, operational applications in areas such as climate disaster analysis and land cover change detection.
Centre of Excellence for Research on AI- and Simulation-Based Engineering at Exascale
The EU project CoE RAISE will be the excellent enabler for the advancement of European multi-physics and/or multi-scale applications on industrial and academic level and a driver for novel intertwined AI and HPC technologies.