Head of Simulation and Data Lab (Jülich Supercomputing Centre)
Adjunct Associate Professor (University of Iceland)
Prof. Gabriele Cavallaro
![Professor Gabriele Cavallaro](https://cdn.prod.website-files.com/61ac9fd34c11102384bbe3f6/62c167eeacd22a846f474b87_home%20header.webp)
Affiliations
![logo of the forschungszentrum Jülich, Jülich supercomputing center](https://cdn.prod.website-files.com/61ac9fd34c11102384bbe3f6/61c5bd0b6dade921272d1e80_fzj%20logo.png)
Head of Simulation and Data Lab "AI and ML for Remote Sensing" Jülich Supercomputing Centre
Adjunct Professor, Faculty of Industrial Engineering, Mechanical Engineering and Computer Science
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Visiting Professor, Φ-Lab, European Space Agency
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Co-Chair of the IEEE GRSS Earth Science Informatics Technical Committee (ESI TC)
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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
Calls for papers, funding, vacancies
News and events
All news and events
![Democratizing Foundation Models for Earth Observation Applications](https://cdn.prod.website-files.com/61acee854e2822be0cf755cd/6649b83f5f1055d7a0739f15_foto_gruppo_ml4esop.jpeg)
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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.
Read more
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
2023
Enhancing Training Set Through Multi-temporal Attention Analysis in Transformers for Multi-Year Land Cover Mapping
Journals
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
2023
Enhancing Distributed Neural Network Training Through Node-Based Communications
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
![](https://cdn.prod.website-files.com/61ac9fd34c11102384bbe3f6/61c5b128c166abab7edf7e7c_about-img.jpg)