Accepted Tutorials

After 15 years of corporate experience, he left Google in 2020 to work on his startup – Spatial Thoughts – to create a learning platform to bridge the skill gap in the geospatial industry. His online academy has trained participants from over 100 countries. His learning materials on QGIS, Python, Earth Engine, and GDAL are cited as the top learning resources globally and are used by more than 1 million people every year. Ujaval is a world-renowned training facilitator who is passionate about advancing the use of open-source technologies in teaching and research. He is a QGIS.org certified trainer and one of the co-authors of the book Earth Engine Fundamentals and Applications published by Springer.

Dr. López-Martínez has authored more than 200 articles in journals, books, and conference proceedings, and received the EUSAR 2002 Conference Student Prize Paper Award, co-authored the paper awarded with the EUSAR 2012 Conference First Place Student Paper Award, and received the IEEE-GRSS 2013 GOLD Early Career Award. Dr. López-Martínez has broad academic teaching experience from bachelor, master, and PhD levels to advanced technical tutorials presented at international conferences and space and research institutions worldwide. He is an associate editor of the IEEE-JSTARS journal and the MDPI Remote Sensing, acting also as invited guest editor for several special issues. He has collaborated in the Spanish PAZ and the ESA’s SAOCOM-CS missions, in the proposal of the Parsifal mission and he is member of the ESA’s Sentinel ROSE-L Mission Advisory Group. He was appointed vice-president of the IEEE-GRSS Spanish chapter, and in 2016 he became its secretary and treasurer. From 2011 Dr. López-Martínez collaborates with the IEEE-GRSS Globalization initiative in Latin America, contributing to the creation of the IEEE-GRSS Chilean chapter and the organization of the 2020 LAGIRSS conference, being appointed as Latin America liaison in 2019. He is also co-chair of the Tutorial Technical Committee of the Indian 2020 and 2021 InGARSS conferences.

Dr. Sumit’s primary research domain has been spatial databases and analytics, specifically topics related to geospatial ontologies, data integration and spatial data infrastructures. He has played key roles in program and organizing committees of several workshops and conferences on spatial technologies, including MapIndia and Geospatial World Forum. He is a certified GIS Professional and has led multiple projects in geoinformatics over the last two decades, both in academics and the industry

Rakshith’s research intresests include self-supervised learning, ML fairness and reproducibility, and designing compute-efficient DL models. Previously, he has delivered tutorials at the IEEE International Conference on Multimedia and Expo (ICME), Brisbane and has been actively involved as a tutor in various summer schools like Mathematics for DeepLearning and Hands-on AI organised by IIT Kharagpur. He has multiple publications at top IEEE conferences and journals. He advocates for open-source software and has contributed to projects like the Intel OpenVINO toolkit.