I’m delighted to invite you to another Geoawesomeness Digital Meetup on October 22, 2020. This time will have a pleasure to discuss on the topic of How Deep Learning is changing the Earth Observation industry and beyond.
This topic is particularly close to my heart and interests as I’ve been working on Earth Observation data analytics automation for a couple of years now and I wanted to make this event really relevant by inviting great speakers to give their talks and to look at the Deep Learning solutions from different angles.
I believe that the topic is really important for the geospatial community as we have reached the moment in history when we produce daily more Earth Observation data from satellites and drones than we will be ever able to analyze. Imagine all the knowledge hidden in these pixels waiting to be discovered. Today, the only technology that seems to be a way forward is Deep Learning. This meetup will give you a chance to learn about the state of the art and interact with the brightest minds in the geospatial industry working on the topic.
The speakers will include:
Frank de Morsier
Frank holds a PhD in machine learning applied to remote sensing imagery from the EPFL, Switzerland, ranked as the world’s 12th and Europe 2nd best engineering university. He is also a lecturer of the “Image Processing for Earth Observation” master course at EPFL. As the co-founder and CTO of Picterra, his focuses are on the development and applications of machine learning algorithms for multitemporal and multisensors image analysis, with a special emphasis on approaches allowing to upscale processing chains while keeping end-user interactions within the loop.
Computer Vision Scientist, Picterra
Roger holds a B.Sc degree in Computer Science from Brown University in Providence, RI, USA, and an M.Bs degree in Computer Science with a minor in Micro Engineering from EPFL. As a Computer Vision Scientist at Picterra, he focuses on the application of Machine Learning algorithms on remote sensing imagery. He has worked primarily with deep learning models and is particularly interested in image recognition and object detection applications.
Director of R&D Center, Esri
Rohit Singh leads Esri’s R&D Center in New Delhi, where he leads the development of AI and Enterprise GIS technologies. Rohit is passionate about Geospatial AI, Machine Learning & Deep Learning and bringing them to GIS.
Rohit is a graduate of Indian Institute of Technology, Kharagpur, and has worked at computer vision startups, TCS and IBM before joining Esri. He has been recognized as an Industry Distinguished Lecturer for the IEEE- Geoscience and Remote Sensing Society (GRSS) and serves as a plenary speaker at several international conferences.
Prof. Devis Tuia
Associate Professor, Environmental Computational Science and Earth Observation Laboratory, EPFL
Devis Tuia is an environmental scientist with a particular focus on remote sensing and geoinformation. He is heavily involved with the development of new methods to allow better interpretation of images and recordings of the Earth’s surface. He makes use of machine learning and efficient human-machine interaction and uses them to make sense of multimodal data. Prof. Tuia is part of the EPFL Alpine and Polar Research Centre in Sion, where he carries out a research program based on remote sensing and image analysis.