I’m an AI and geospatial scientist, engineer, and educator specializing in earth observation and spatial intelligence at the interface of machine learning and remote sensing. I design and build systems that turn satellite, aerial, and UAV data into scalable solutions for terrestrial mapping and the monitoring of infrastructure and environmental change.

My background spans industry roles in earth observation and geomatics, international academic research collaborations, and teaching and supervising MSc and post‑graduate students in earth observation and robotics courses.

In my current postdoc role, I will be contributing to the production and validation of vegetation structure and photosynthesis data products from the ESA's FLEX mission.

Expertise

  • Computer Science

    • Resolution Image
    • Convolutional Neural Network
    • Satellite Image
    • Unmanned Aerial Vehicle
    • Convolutional Network
    • Deep Learning Method
    • Image Classification
    • Image Fusion

Organisations

Publications

2025

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

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

Research profiles

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.

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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