Talks

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning

Building larger and more complex imaging satellite constellations challenges managing multiple Earth surface acquisition requests; reverse quantum annealing improves planning by leveraging hybrid quantum-classical methods.

2024

Previous talks

Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS)

IEEE GRSS HDCRS School 2024

4-7 June 2024

ESA Big Data from Space (BiDS)

Challenges and Opportunities in the Adoption of High-performance Computing for Earth Observation Applications in the Exascale Era

2023

Arctic Circle Assembly

Towards AI Models based on Quantum Classical Hybrid Computing in Modular Supercomputing Architectures

4 October, 2022

IEEE International Geoscience and Remote Sensing Symposium (IGARSS) - Kuala Lumpur, Malaysia

Hybrid Quantum-classical Workflows In Modular Supercomputing Architectures With The Jülich Unified Infrastructure For Quantum Computing

2022

University of Iceland

HDCRS Summer School 2022

2022

TU Berlin

Machine Learning For Remote Sensing Applications Powered By Modular Supercomputing Architectures

20 May, 2022

University of Iceland (IHPC)

High-performance, specialized and quantum computing for remote sensing. A new GRSS working group

15 December 2021

EuroCC Quantum Computing Mentoring Path (First Workshop)

Quantum Support Vector Machine Algorithms

09 November, 2021

CiTIUS (Centro Singular de Investigación en Tecnoloxías Intelixentes)

Deep Learning for Earth Observation powered by High Performance Computing

23 September 2021

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Enhancing Large Batch Size Training of Deep Models for Remote Sensing Applications

2021

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification

2021

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Practice and Experience in using Parallel and Scalable Machine Learning in Remote Sensing from High Performance Computing over Cloud to Quantum Computing

2021

IEEE GRSS (online webinar)

High-performance and Disruptive Computing in Remote Sensing (HDCRS): a new working group of the GRSS Earth Science Informatics Technical Committee

March 23, 2021

IEEE.tv Live Stream

Distributed Deep Learning with High Performance Computing for Large-Scale Remote Sensing Data

04/11/2020

IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)

Scaling Up a Multispectral Resnet-50 to 128 GPUs

2020

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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

2020

IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)

Approaching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-Wave Quantum Annealer

2020

Technische Universität Berlin

High Performance Computing Systems for Big Earth Observation Data Mining and Applications

19/03/2019

Conference on Big Data from Space (BiDS'19) - Munich

Remote sensing data analytics with the udocker container tool using multi-GPU deep learning systems

2019

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Talks

Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning

Previous talks

IEEE GRSS HDCRS School 2024

Challenges and Opportunities in the Adoption of High-performance Computing for Earth Observation Applications in the Exascale Era

Remote Sensing for Climate Change Studies in the Arctic

Innovative Computing Technologies for Earth Observation

Seismic Imaging with Remote Sensing for Energy Applications

Towards AI Models based on Quantum Classical Hybrid Computing in Modular Supercomputing Architectures

Hybrid Quantum-classical Workflows In Modular Supercomputing Architectures With The Jülich Unified Infrastructure For Quantum Computing

HDCRS Summer School 2022

Machine Learning For Remote Sensing Applications Powered By Modular Supercomputing Architectures

High-performance, specialized and quantum computing for remote sensing. A new GRSS working group

Quantum Support Vector Machine Algorithms

Deep Learning for Earth Observation powered by High Performance Computing

Enhancing Large Batch Size Training of Deep Models for Remote Sensing Applications

Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification

Practice and Experience in using Parallel and Scalable Machine Learning in Remote Sensing from High Performance Computing over Cloud to Quantum Computing

High-performance and Disruptive Computing in Remote Sensing (HDCRS): a new working group of the GRSS Earth Science Informatics Technical Committee

Distributed Deep Learning with High Performance Computing for Large-Scale Remote Sensing Data

Scaling Up a Multispectral Resnet-50 to 128 GPUs

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

Approaching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-Wave Quantum Annealer

High Performance Computing Systems for Big Earth Observation Data Mining and Applications

Remote sensing data analytics with the udocker container tool using multi-GPU deep learning systems