معرفی
John Ray Bergado is a Lecturer and Researcher at the Department of Earth Observation Science (EOS), Faculty of Geoinformation Science and Earth Observation (ITC), University of Twente, The Netherlands. He holds a PhD in End-to-end predictive models for remote sensing applications (2020), an MSc in Geoinformation Science and Earth Observation (2016, with distinction), and a BSc in Geodetic Engineering (2013, magna cum laude). His research focuses on integrating machine learning and deep learning with geospatial technologies like remote sensing, photogrammetry, and UAVs to address environmental and urban challenges.
- Education:
- PhD, University of Twente, 2016–2020
- MSc (Distinction), University of Twente, 2013–2016
- BSc (Magna Cum Laude), University of the Philippines, 2009–2013
His work emphasizes applications such as wildfire prediction, UAV-based point cloud extraction, and land use classification. He has contributed to projects with institutions like NEO BV, RMIT (Melbourne), and SRDP Consulting Inc. His research aligns with UN SDGs, particularly in sustainable development through geospatial innovation.
Key trends in his articles include deep learning for geospatial data analysis, UAV applications in disaster response, and multispectral image fusion. His methodologies often combine neural networks and attention mechanisms to enhance remote sensing outcomes.
He has no listed awards but has received academic distinctions for his degrees. His advisory roles and grants are not explicitly mentioned, though his research collaborations span global institutions. He is affiliated with ITC’s EOS department, contributing to its mission in geoinformation science and earth observation.
