Our Research Team:
Oscar is an internationally recognised researcher, interested in the fields of Machine Learning, Robotics and Computer Vision. His work focuses developing Machine Learning research that leverages concepts and ideas from fields like Remote Sensing and Agriculture and applies them to the areas of AI and Computer Vision. This creates algorithms that are better capable of understanding the world and making domain-specific predictions.
Daniel is a postgraduate researcher seeking his PhD at the prestigious Centre for Vision, Speech, and Signal Processing (CVSSP) in the University Of Surrey. He has bachelor’s degree in Computer Science and a Masters’ degree in Satellite Applications with Data Science. Daniel has over 7 years of experience in developing technology. He started his career as a Software Engineer and later switched my career to Data Science.
Belen is an award-winning researcher whose background includes engineering and modelling in the private and public sector. This provides her with a wide and practical picture of the engineering and Earth observation profession. She have an eye for connecting ideas and building work teams. Her research interests focus the use of remote sensing data (satellite and airborne) for hydrological and environmental applications, often exploiting the great synergies between varied geospatial data sources and digital twins or models, to go beyond what we can see with EO.