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Juan Anzieta

Ph.D. Candidate
"Deep learning approaches for assessment of multi-temporal, -spatial and -modal data in a Canadian Natural Hazards Data portal"

Areas of interest

Volcanology & Hazard monitoring

Education

  • B.Sc., Escuela Politécnica Nacional, 2013
  • M.Sc., San Francisco de Quito, 2017

Biography

Juan is using machine learning and data analytic approaches for assessment of multi-temporal, -spatial and -modal data in a Canadian Natural Hazards Data portal. The goal of his project will be to create tools for the analysis of multiple geophysical data ranging from atmospheric, seismic, infrasonic and such, to conventional and satellite images. These tools will be based on the application of statistical and machine learning methods to construct systems that help in the monitoring of various phenomena such as potential volcanism, avalanches, earthquakes, wildfires and so on. The research project will aid on the creation of a Canadian Natural Hazards Data portal for the public to access and explore.

Recent Publications

  1. 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.
  2. 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.
  3. 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.