Machine Learning for Big Data in Remote Sensing Powered by Supercomputing
Supercomputers are unique computing environments boasting extremely high computational capabilities. They can tackle problems and perform calculations that surpass the speed and power of traditional computers. Serving as a tangible solution for data-intensive applications, supercomputers enhance the performance of processing workflows by offering efficient access to, and scalable processing of, extremely large data sets. The talk will highlight the latest developments in interdisciplinary research, bridging applications from remote sensing with parallel and scalable machine learning through high-performance computing. It will also provide an overview of the work and research activities conducted at the Remote Sensing Simulation and Data Lab, located at the University of Iceland. As part of the Icelandic HPC (IHPC) National Competence Center (NCC) for HPC and AI, the lab maintains close collaboration with the Jülich Supercomputing Centre at the Forschungszentrum Jülich in Germany
Jón Atli Benediktsson, Háskóli Íslands
Rektor og prófessor (Rector and professor)
Jón Atli Benediktsson, Rector of the University of Iceland and professor of electrical and computer engineering has been on the list of the world's most influential scientists for six consecutive years. Jón Atli is a pioneer in the field of artificial intelligence and big data analytics. His research focuses on remote sensing an increasingly important area in information technology. Jón Atli has received numerous awards and accolades for his contributions to teaching and research. Furthermore, he is a prolific author of scientific articles and is published in leading journals in his field worldwide.
Jón Atli is ranked on the Clarivate's global list of top scientists. He has for a number of years been a leading authority in the fields of remote sensing and digital image analysis. Remote sensing involves capturing digital images from artificial satellites, aircraft, and drones of the Earth's surface, extracting multidimensional information from them regarding changes on the ground. Such images are extensively used, for example, to monitor the ongoing changes in Reykjanes related to recent seismic and volcanic activity. They are also crucial for tracking retreating glaciers, the development of forests and vegetation, sea ice conditions, urban development, and many other phenomena.
Jón Atli is ranked on the Clarivate's global list of top scientists. He has for a number of years been a leading authority in the fields of remote sensing and digital image analysis. Remote sensing involves capturing digital images from artificial satellites, aircraft, and drones of the Earth's surface, extracting multidimensional information from them regarding changes on the ground. Such images are extensively used, for example, to monitor the ongoing changes in Reykjanes related to recent seismic and volcanic activity. They are also crucial for tracking retreating glaciers, the development of forests and vegetation, sea ice conditions, urban development, and many other phenomena.
Supercomputers are unique computing environments boasting extremely high computational capabilities. They can tackle problems and perform calculations that surpass the speed and power of traditional computers. Serving as a tangible solution for data-intensive applications, supercomputers enhance the performance of processing workflows by offering efficient access to, and scalable processing of, extremely large data sets. The talk will highlight the latest developments in interdisciplinary research, bridging applications from remote sensing with parallel and scalable machine learning through high-performance computing. It will also provide an overview of the work and research activities conducted at the Remote Sensing Simulation and Data Lab, located at the University of Iceland. As part of the Icelandic HPC (IHPC) National Competence Center (NCC) for HPC and AI, the lab maintains close collaboration with the Jülich Supercomputing Centre at the Forschungszentrum Jülich in Germany
Jón Atli Benediktsson, Háskóli Íslands
Rektor og prófessor (Rector and professor)
Jón Atli Benediktsson, Rector of the University of Iceland and professor of electrical and computer engineering has been on the list of the world's most influential scientists for six consecutive years. Jón Atli is a pioneer in the field of artificial intelligence and big data analytics. His research focuses on remote sensing an increasingly important area in information technology. Jón Atli has received numerous awards and accolades for his contributions to teaching and research. Furthermore, he is a prolific author of scientific articles and is published in leading journals in his field worldwide.
Jón Atli is ranked on the Clarivate's global list of top scientists. He has for a number of years been a leading authority in the fields of remote sensing and digital image analysis. Remote sensing involves capturing digital images from artificial satellites, aircraft, and drones of the Earth's surface, extracting multidimensional information from them regarding changes on the ground. Such images are extensively used, for example, to monitor the ongoing changes in Reykjanes related to recent seismic and volcanic activity. They are also crucial for tracking retreating glaciers, the development of forests and vegetation, sea ice conditions, urban development, and many other phenomena.
Jón Atli is ranked on the Clarivate's global list of top scientists. He has for a number of years been a leading authority in the fields of remote sensing and digital image analysis. Remote sensing involves capturing digital images from artificial satellites, aircraft, and drones of the Earth's surface, extracting multidimensional information from them regarding changes on the ground. Such images are extensively used, for example, to monitor the ongoing changes in Reykjanes related to recent seismic and volcanic activity. They are also crucial for tracking retreating glaciers, the development of forests and vegetation, sea ice conditions, urban development, and many other phenomena.