Research output per year
Research output per year
Personal profile
Personal profile
John Ray Bergado is currently a researcher/lecturer in the department of Earth Observation Science (EOS), Faculty of Geoinformation Science and Earth Observation (ITC), University of Twente (UT), Enschede, The Netherlands. He received his:
- PhD degree (thesis title: "End-to-end predictive models for remote sensing application") from Faculty ITC, UT in 2020;
- Master of Science degree in Geoinformation Science and Earth Observation specializing in Geoinformatics (with distinction) from Faculty ITC, UT in 2016;
- and Bachelor of Science degree in Geodetic Engineering (magna cum laude) from the University of the Philippines, Diliman, Philippines in 2013.
His research interests are on the interface of machine learning, statistical learning, and deep learning methods with geospatial technologies such as remote sensing, photogrammetry, and unmanned aerial vehicles (UAV). Before rejoining ITC, UT in 2022 as a researcher/lecturer, he was an Earth Observation and Geomatics Specialist with NEO BV Netherlands from 2020 to 2022; a Research Assistant with ITC, UT from 2016 to 2020; a Visiting Research Assistant with Royal Melbourne Institute of Technology (RMIT), Melbourne, Australia from 2018 to 2019; and a Geodetic Engineer with SRDP Consulting Inc., Philippines from 2013 to 2014.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, End-to-end predictive models for remote sensing applications, University of Twente
15 Apr 2016 → 15 Apr 2020
Award Date: 17 Dec 2020
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Collaborations and top research areas from the last five years
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Research output
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Towards Fully Autonomous UAV: Damaged Building-Opening Detection for Outdoor-Indoor Transition in Urban Search and Rescue
Surojaya, A., Zhang, N., Bergado, J. R. & Nex, F., Feb 2024, In: Electronics. 13, 3, p. 1-17 17 p., 558.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile4 Citations (Scopus)113 Downloads (Pure) -
UnDER: Unsupervised Dense Point Cloud Extraction Routine for UAV Imagery Using Deep Learning
Bergado, J. R. & Nex, F., 25 Dec 2024, In: Remote sensing. 17, 1, 24.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile18 Downloads (Pure) -
Dense point cloud extraction from UAV imagery using parallax attention
Bergado, J. R. & Nex, F. C., 5 Dec 2023, Geospatial Week 2023, Vol. 10-1: ISPRS Geospatial Week 2023. El-Sheimy, N., Abdelbary, A., El-Bandary, N. & Hohasseb, Y. (eds.). W1-2023 ed. Cairo: Copernicus, Vol. X-1. p. 1027-1032 6 p. (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
Open AccessFile1 Citation (Scopus)95 Downloads (Pure) -
Predicting wildfire burns from big geodata using deep learning
Bergado, J. R., Persello, C., Reinke, K. & Stein, A., Aug 2021, In: Safety science. 140, 12 p., 105276.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile42 Citations (Scopus)612 Downloads (Pure) -
End-to-end predictive models for remote sensing applications
Bergado, J. R., 17 Dec 2020, Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). 117 p.Research output: Thesis › PhD Thesis - Research UT, graduation UT
Open AccessFile184 Downloads (Pure)