Areas of interest
Volcanology & Hazard monitoring
Education
- B.Sc., Escuela Politécnica Nacional, 2013
- M.Sc., San Francisco de Quito, 2017
- Ph.D., SFU, 2024
Biography
Juan used machine learning and data analytic approaches for assessment of multi-temporal, -spatial and -modal data to create tools for the analysis of multiple geophysical data including atmospheric, seismic and infrasonic signals. These tools applied statistical and machine learning methods to construct systems that help in the monitoring of various phenomena such as potential volcanism, avalanches, and landslides.
Recent Publications
- Anzieta, J.C., Williams-Jones, G., Ortiz, H.D., Ruiz, M. (2024) Investigating 10 years of acoustic volcanic activity at Tungurahua volcano, Ecuador aided by Machine Learning. Seismological Research Letters, doi: 10.1785/0220240082.
- Anzieta, J.C., Pacheco, D., Williams-Jones, G., Ruiz, M. (2023) Cleaning volcano-seismic event catalogues: A machine learning application for robust systems and potential crises in volcano observatories. Bulletin of Volcanology, 85, 59, doi: 10.1007/s00445-023-01674-9
- Vasconez, F.J., Anzieta, J.C., Vásconez Müller, A., Bernard, B., Ramón, P. (2022) A Near Real-Time and Free Tool for the Preliminary Mapping of Active Lava Flows during Volcanic Crises: The Case of Hotspot Subaerial Eruptions. Remote Sensing, 14, 3483, doi.org/10.3390/rs14143483
- Anzieta, J.C., Williams-Jones, G., Bernard, B., Ortiz, H., Vallejo-Vargas, S., Ruiz, M. (2021) Reviewing volcano hazard and risk communications in Ecuador: Experiences from a fast-format workshop. Volcanica, 4, 309–324, doi: 10.30909/vol.04.02.309324
- Le Moigne, Y., Zurek, J.M., Williams-Jones, G., Lev, E., Calahorrano-Di Patre, A., Anzieta, J.C. (2020) Standing waves in high speed lava channels: A tool for constraining lava flow dynamics and eruptive parameters. Journal of Volcanology and Geothermal Research, 401, 106944, doi: 10.1016/j.jvolgeores.2020.106944
- Anzieta, J.C., Ortiz, H.D., Arias, G.L., Ruiz, M.C. (2019) Finding possible precursors for the 2015 Cotopaxi volcano eruption using unsupervised Machine Learning techniques. International Journal of Geophysics, 2019, doi: 10.1155/2019/6526898