Head of Simulation and Data Lab (Jülich Supercomputing Centre)
Adjunct Associate Professor (University of Iceland)
Prof. Gabriele Cavallaro
Affiliations
Research Topics
Remote Sensing
High Performance Computing
Machine Learning
Quantum Computing
Guest lectures, presentations, workshops
Talks
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Seismic Imaging with Remote Sensing for Energy Applications
Presentation of one of the use cases of the CoE RAISE project, which aims at integrating seismic imaging and remote sensing in a synergistic framework to address energy applications.
Courses, lectures, materials
Teaching
Machine Learning for Earth Observation powered by Supercomputers
This course exposes the students to the physical principles underlying satellite observations of Earth by passive sensors, as well as parallel Deep Learning (DL) algorithms that scale on High Performance Computing (HPC) systems.
Calls for papers, funding, vacancies
News and events
Summer School on High Performance and Disruptive Computing in Remote Sensing 2023
The 3rd edition of the Summer School on High Performance and Disruptive Computing in Remote Sensing took place from 29 May to 1 June 2023, in Reykjavik, Iceland. Participants learned how to use high-performance and specialized computing technologies to tackle large-scale and complex EO applications.
Academic papers
Recent Publications
Conference Papers
Practice and Experience using High Performance Computing and Quantum Computing to Speed-up Data Science Methods in Scientific Applications
Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification
An Automatic Approach for the production of a Time Series of Consistent Land-cover Maps Based on Long-short Term Memory
Journals
Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks [preprint]
Few-Shot Remote Sensing Image Classification with Meta-Learning [preprint]
A Single-Step Multiclass SVM based on Quantum Annealing for Remote Sensing Data Classification [preprint]
Book chapters
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
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
