
Iban Berganzo Besga
Title/Position
Senior research engineer
Barcelona Super Computer
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E-mail:
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Mailing Address:
3359 Mississauga Road
Mississauga ON L5L1C6
Canada
A recent post-doc of the RLEA and a continued advisor for RLEA projects, Iban is now a senior research engineer in computational archaeology at the Barcelona Supercomputing Center (BSC). His work focuses on utilizing different lines of AI research for computational archaeology including computer
vision (CV), natural language processing (NLP) and high-performance computing (HPC).
Publications
Berganzo-Besga, I., Orengo, H., Canela, J., & Belarte, M. (2022). Potential of Multitemporal Lidar for the Detection of Subtle Archaeological Features under Perennial Dense Forest. Land, 11, 1964. https://doi.org/10.3390/land11111964
Berganzo-Besga, I., Orengo, H., Lumbreras, F., Alam, A., Campbell, R., Gerrits, P., Gregorio de Souza, J., Khan, A., Suárez-Moreno, M., Tomaney, J., Roberts, R., & Petrie, C. (2023). Curriculum learning-based strategy for low-density archaeological mound detection from historical maps in India and Pakistan. Scientific Reports, 13, 11257. https://doi.org/10.1038/s41598-023-38190-x
Berganzo-Besga, I., Orengo, H., Lumbreras, F., Aliende, P., & Ramsey, M. (2022). Automated Detection and Classification of Multi-Cell Phytoliths Using Deep Learning-Based Algorithms. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4115214
Berganzo-Besga, I., Orengo, H., Lumbreras, F., Carrero-Pazos, M., Fonte, J., & Vilas-Estévez, B. (2021). Hybrid MSRM-Based Deep Learning and Multitemporal Sentinel 2-Based Machine Learning Algorithm Detects Near 10k Archaeological Tumuli in North-Western Iberia. Remote Sensing, 13, 4181. https://doi.org/10.3390/rs13204181
Orengo, H., Berganzo-Besga, I., Landauer, J., Aliende, P., Tres-Martínez, S., & Garcia-Molsosa, A. (2021). New developments in drone-based automated surface survey: Towards a functional and effective survey system. Archaeological Prospection, 28, 1–8. https://doi.org/10.1002/arp.1822
Research
Deep Learning; Phytoliths
Other
Specialization
Computational Archaeology
Machine Learning
Remote Sensing