Head of Simulation and Data Lab (JĂĽlich Supercomputing Centre)
Assistant Professor (University of Iceland)
Prof. Gabriele Cavallaro
Affiliations
Research Topics
Remote Sensing
High Performance Computing
Machine Learning
Quantum Computing
Guest lectures, presentations, workshops
Talks
Advances in Geospatial Foundation Models for Earth Observation
This presentation provides an overview of recent advancements in Geospatial Foundation Models (FMs) for Earth observation through satellite remote sensing data.
Courses, lectures, materials
Teaching
Communication Engineering
Telecommunication systems are everywhere in modern societies, and great progress has been made in the field of telecommunications in recent years. The development is still going on and will be for coming years, both in terms of technology itself and its utilisation.
Calls for papers, funding, vacancies
News and events
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.
Academic papers
Recent Publications
Conference Papers
Enhancing Land Cover Mapping: A Novel Automatic Approach to Improve Mixed Spectral Pixel Classification
A CNN Architecture Tailored for Quantum Feature Map-Based Radar Sounder Signal Segmentation
Supporting Seismic Data Survey Design Through the Integration of Satellite-Based Land Cover Maps
Journals
Vectorized Highly Parallel Density-Based Clustering for Applications With Noise
Local Binary and Multiclass SVMs Trained on a Quantum Annealer
Sen4Map: Advancing Mapping with Sentinel-2 by Providing Detailed Semantic Descriptions and Customizable Land-Use and Land-Cover Data
Book chapters
Proven Approaches of Using Innovative High-Performance Computing Architectures in Remote Sensing
Remote Sensing Data Fusion: Markov Models and Mathematical Morphology for Multisensor, Multiresolution, and Multiscale Image Classification
Analyzing Remote Sensing Images with Hierarchical Morphological Representations
About me
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I did my Erasmus at the University of Iceland, which eventually led to three years of doctoral studies and earning the title of PhD.
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Since then, I've been a research assistant at JSC - JĂĽlich Supercomputing Centre, later becoming Head of Simulation and Data Lab. Since 2024, I have been granted assistant Professorship at the University of Iceland in ReykjavĂk. I work at the intersection of Remote Sensing (RS), High Performance Computing (HPC), Quantum Computing (QC) and Machine Learning (ML).
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You can contact me at
g.cavallaro@fz-juelich.de
gcavallaro@hi.is
