I am interested in spatio-temporal analysis focused on hydrological extremes (drought and flood), machine learning, data visualization, data analysis, data management, hydrological modelling, remote sensing, development of GIS-based applications and water accounting. These lines of research have arisen during different stages of my academic and professional journey.

Motivated to advance spatio-temporal change detection over big data with high computing, I pursue a postdoc at TU Delft, funded by the NL Science Centre within the Innovative eScience Technologies (eTEC) call. My research focused on optimising change detection methods using massive point cloud data, leading to a new approach for rapid and efficient execution directly on point cloud data without intermediate data conversion.

Orcid: https://orcid.org/0000-0002-5502-4099

Google Scholar: https://scholar.google.com/citations?user=jkggQI0AAAAJ

ResearchGate: https://www.researchgate.net/profile/Vitali-Diaz

Scopus: https://www.scopus.com/authid/detail.uri?authorId=57214021185

Academic trajectory

2015/1-2021/11 |PhD Hydroinformatics |Delft University of Technology & IHE Delft Institute for Water Education |Spatio-temporal characterisation of drought: data analytics, modelling, tracking, impact and prediction (thesis)

2010/8-2012/1 |Specialist Watershed Management |National Autonomous University of Mexico (UNAM) |Cum laude, GPA 9.6 (out of 10) |Runoff calculation in ungauged basins using distributed hydrological modelling and data from neighbouring basins (thesis)

2008/9-2010/8 |MSc Water Sciences |Autonomous University of Mexico State (UAEM) |Cum laude, GPA 9.3 (out of 10) |Geomatics design and GIS implementation of the distributed hydrological model CEQUEAU for (quasi-) natural basins (thesis)

2002/9-2008/7 |BSc Civil Engineering |Autonomous University of Mexico State (UAEM) |GPA 8.9 (out of 10) |Statistical analysis and probabilistic modelling of the variables involved in the reliability analysis of a concrete vehicle bridge (thesis)