Langezijds

dr. J.R. Bergado (JR)

Researcher
ITC-SCI-TECH
Langezijds 1328
j.r.bergado@utwente.nl
+31534892481
Business card

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

  • Computer Science

    • Convolutional Network
    • Classification Task
    • Multitask Learning
    • Unmanned Aerial Vehicle
    • Conventional Method
    • Classes
    • Image Classification
    • Image Fusion

Organisations

Publications

2025

Building height and roof material dataset - Dominica, Pichelin and Roseau, 2018, 2024 (2025)[Dataset Types › Dataset]. Zenodo. Irene, M., Bergado, J. R., Van Westen, C., Van Den Bout, B. & Al Asmar, Y.https://doi.org/10.5281/zenodo.13834494

2024

UnDER: Unsupervised Dense Point Cloud Extraction Routine for UAV Imagery Using Deep Learning (2024)Remote sensing, 17(1). Article 24. Bergado, J. R. & Nex, F.https://doi.org/10.3390/rs17010024Towards Fully Autonomous UAV: Damaged Building-Opening Detection for Outdoor-Indoor Transition in Urban Search and Rescue (2024)Electronics, 13(3), 1-17. Article 558. Surojaya, A., Zhang, N., Bergado, J. R. & Nex, F.https://doi.org/10.3390/electronics13030558

2023

Dense point cloud extraction from UAV imagery using parallax attention (2023)In Geospatial Week 2023, Vol. 10-1: ISPRS Geospatial Week 2023 (pp. 1027-1032) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Bergado, J. R. & Nex, F. C.https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1027-2023

2021

Predicting wildfire burns from big geodata using deep learning (2021)Safety science, 140. Article 105276. Bergado, J. R., Persello, C., Reinke, K. & Stein, A.https://doi.org/10.1016/j.ssci.2021.105276

Research profiles

I am currently involved in the MSc Robotic course called "AI for Autonomous Robots".

Affiliated study programs

Courses academic year 2025/2026

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2024/2025

Address

University of Twente

Langezijds (building no. 19), room 1328
Hallenweg 8
7522 NH Enschede
Netherlands

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Organisations

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