V. Diaz Mercado
V. Diaz Mercado
Contact
Onderzoeksinteresses
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: orcid.org/0000-0002-5502-4099
Google Scholar: scholar.google.com/citations
ResearchGate: www.researchgate.net/profile/Vitali-Diaz
Scopus: www.scopus.com/authid/detail.uri
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)
Expertise
Publicaties
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2024
Three-Dimensional Clustering in the Characterization of Spatiotemporal Drought Dynamics
Cluster Size Filter and Drought Indicator Threshold Optimization
Vitali Diaz / Gerald A. Corzo Perez / Henny A.J. Van Lanen / Dimitri P. Solomatine -
2024
Comparison of Cloud-to-Cloud Distance Calculation Methods
Is the Most Complex Always the Most Suitable?
Vitali Diaz / Peter van Oosterom / B.M. Meijers / Edward Verbree / Nauman Ahmed / Thijs van Lankveld -
2023
An event-oriented database of meteorological droughts in Europe based on spatio-temporal clustering
Carmelo Cammalleri / Juan Camilo Acosta Navarro / Davide Bavera / Vitali Diaz / Chiara Di Ciollo / Willem Maetens / Diego Magni / Dario Masante / Jonathan Spinoni / Andrea Toreti
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2020
An approach to characterise spatio-temporal drought dynamics
Vitali Diaz / Gerald A. Corzo Perez / Henny A.J. Van Lanen / Dimitri Solomatine / Emmanouil A. Varouchakis
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2020
Characterisation of the dynamics of past droughts
Vitali Diaz / Gerald A. Corzo Perez / Henny A.J. Van Lanen / Dimitri Solomatine / Emmanouil A. Varouchakis
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