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
Towards AI Models based on Quantum Classical Hybrid Computing in Modular Supercomputing Architectures
This talk provides an overview of Quantum-Classical Hybrid Computing algorithms and workflows on Modular Supercomputing Architectures. It demonstrates that they can already be used to deal with real application problems.
Courses, lectures, materials
Teaching
Applications of Data Science in Remote Sensing
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
Special session on ''Novelty Detection and Lifelong Learning for Robust Performance Under Ever-Changing Conditions''
This special session is for contributions with detection and lifelong learning approaches that tackle remote sensing 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
Quantum SVR for Chlorophyll Concentration Estimation in Water with Remote Sensing
Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing
Predicting Classification Performance for Benchmark Hyperspectral Datasets
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
