Skip to main content

EN
ÍS

Forsíða

Forsíða

Gabriele Cavallaro - Associate Professor

Gabriele Cavallaro

–

School of Engineering and Natural Sciences

Gabriele CavallaroHann/Hans

Associate Professor

Location
VR-2 / V02-257b
Phone
525 - 4694
Email
gcavallaro [at] hi.is

Unit
Faculty of Electrical and Computer Engineering

Published works

2026

Quantum-Enhanced Consensus Clustering Through Quantum Annealing and QAOA
Towards Large-Scale Satellite Acquisition Scheduling with Hybrid Quantum-Classical Optimization

2025

Lossy Neural Compression for Geospatial AnalyticsIEEE Geoscience and Remote Sensing Magazine
Earth Action in TransitionIEEE Geoscience and Remote Sensing Magazine
Terramesh
Leveraging a Hybrid Quantum-Classical Framework for Subsurface Target Detection in Radar Sounding SystemIEEE Transactions on Geoscience and Remote Sensing
From MODIS to Sentinel-2IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Integrating remote sensing and deep learning forecasting model
QUESTIEEE Geoscience and Remote Sensing Magazine
Prithvi-EO-2.0IEEE Transactions on Geoscience and Remote Sensing

2024

A CNN Architecture Tailored For Quantum Feature Map-Based Radar Sounder Signal Segmentation
High Performance and Disruptive Computing in Remote SensingIEEE Geoscience and Remote Sensing Magazine
Vectorized Highly Parallel Density-based Clustering for Applications with NoiseIEEE Access
Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning
A Hybrid Quantum-Classical CNN Architecture for Semantic Segmentation of Radar Sounder Data
Supporting Seismic Data Survey Design Through the Integration of Satellite-Based Land Cover Maps
Local Binary and Multiclass SVMs Trained on a Quantum AnnealerIEEE Transactions on Quantum Engineering
Enhancing Land Cover Mapping
Sen4MapIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2023

Deep-Learning-Based 3-D Surface Reconstruction-A SurveyProceedings of the IEEE
Enhancing Distributed Neural Network Training Through Node-Based CommunicationsIEEE Transactions on Neural Networks and Learning Systems
A Summer School Session on Mastering Geospatial Artificial IntelligenceIEEE Geoscience and Remote Sensing Magazine
A Summer School Session on Mastering Geospatial Artificial Intelligence: From Data Production to Artificial Intelligence Foundation Model Development and Downstream Applications [Technical Committees]IEEE Geoscience and Remote Sensing Magazine
Accuracy assessment of land-use-land-cover maps
FOREWORDGeoSearch 2023 - Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data

2022

Learning from Data for Remote Sensing Image AnalysisInternational Journal of Remote Sensing
Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification
High-Performance and Disruptive Computing in Remote SensingIEEE Geoscience and Remote Sensing Magazine
Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous ComputingIEEE Geoscience and Remote Sensing Letters

2021

FOREWORDProceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021

2020

Super-Resolution of Large Volumes of Sentinel-2 Images with High Performance Distributed Deep Learning

Keywords for Specialisation:

Image Processing

Machine Learning

Distributed computing

High Performance Computing

Quantum Computing