Head of Simulation and Data Lab (Jülich Supercomputing Centre)
Assistant Professor (University of Iceland)
Prof. Gabriele Cavallaro
Affiliations
Head of Simulation and Data Lab "AI and ML for Remote Sensing" Jülich Supercomputing Centre
Assistant Professor, Faculty of Electrical and Computer Engineering
Visiting Professor, Φ-Lab, European Space Agency
Co-Chair of the IEEE GRSS Earth Science Informatics Technical Committee (ESI TC)
Associate Editor of IEEE Transactions on Image Processing
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Research Topics
Remote Sensing
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High Performance Computing
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Machine Learning
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Quantum Computing
Guest lectures, presentations, workshops
Talks
All talks
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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning
Building larger and more complex imaging satellite constellations challenges managing multiple Earth surface acquisition requests; reverse quantum annealing improves planning by leveraging hybrid quantum-classical methods.
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2024
Calls for papers, funding, vacancies
News and events
All news and events
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ESA-ECMWF ML4ESOP Workshop (ESA-ESRIN - Frascati, Italy)
Democratizing Foundation Models for Earth Observation Applications
To address societal challenges, a collaborative initiative involving DLR, IBM, FZJ, and KP Labs has developed the FAST-EO project. This initiative aims to enhance and support multiple Earth observation applications.
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07/05/2024
Academic papers
Recent Publications
Conference Papers
2024
Quantum Annealing for Semantic Segmentation in Remote Sensing: Potential and Limitations
2024
A Hybrid Quantum-Classical CNN Architecture for Semantic Segmentation of Radar Sounder Data
2024
Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning
Journals
2024
Local Binary and Multiclass SVMs Trained on a Quantum Annealer
2024
Sen4Map: Advancing Mapping with Sentinel-2 by Providing Detailed Semantic Descriptions and Customizable Land-Use and Land-Cover Data
2023
Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps using Sentinel-2 Time Series
Book chapters
2024
Proven Approaches of Using Innovative High-Performance Computing Architectures in Remote Sensing
2018
Remote Sensing Data Fusion: Markov Models and Mathematical Morphology for Multisensor, Multiresolution, and Multiscale Image Classification
2016
Analyzing Remote Sensing Images with Hierarchical Morphological Representations
About me
I graduated in telecommunications with the University of Trento, where I received both my Bachelor's and Master's degree.
I did my Erasmus at the University of Iceland, which eventually led to three years of doctoral studies and earning the title of PhD.
Since then, I've been a research assistant at JSC - Jülich Supercomputing Centre, later becoming Head of Simulation and Data Lab. Since 2022, I have been granted adjunct associate Professorship at the University of Iceland in Reykjavík. I work at the intersection of Remote Sensing (RS), High Performance Computing (HPC), Quantum Computing (QC) and Machine Learning (ML).
You can contact me at
g.cavallaro@fz-juelich.de
gcavallaro@hi.is
I did my Erasmus at the University of Iceland, which eventually led to three years of doctoral studies and earning the title of PhD.
Since then, I've been a research assistant at JSC - Jülich Supercomputing Centre, later becoming Head of Simulation and Data Lab. Since 2022, I have been granted adjunct associate Professorship at the University of Iceland in Reykjavík. I work at the intersection of Remote Sensing (RS), High Performance Computing (HPC), Quantum Computing (QC) and Machine Learning (ML).
You can contact me at
g.cavallaro@fz-juelich.de
gcavallaro@hi.is
Read my CV
