Joe David Zambrano Suárez
Department Specialist Technitian and Predoctoral researcher
computer vision; machine learning; natural hazards; paleofloods; regional flood frequency analysis; tree ring segmentation
I am a technical forestry engineer. Master's degree in artificial intelligence research. I was previously working in forest management plans, and research activities on Mediterranean species distribution models and climate change.
My PhD's research focuses on two topics: The application of deep learning for the automatic segmentation of growth rings in anomalous tissues, and the incorporation of paleoflood data into regional flood frequency analysis.
Publications
Zambrano-Suárez JD, Pérez-Martín J, Muñoz-Torrero Manchado A, Ballesteros-Cánovas JA. 2025. Tree ring segmentation performance in highly disturbed trees using deep learning. biRxiv. https://doi.org/10.1101/2025.03.14.643209
2025
Zambrano-Suárez JD, Pérez-Martín J, Muñoz-Torrero Manchado A, Ballesteros-Cánovas JA. 2024. Deep learning-based semantic segmentation for geomorphic processes signals in tree-ring records. European Geosciences Union General Assembly 2024 (EGU24) 9146. https://doi.org/10.5194/egusphere-egu24-9146