Leobardo Valera
- PhD
- Ph.D in Computational Sciences
- Master in Mathematics
- Graduate Award for Academic and Research Excellence in Computational Science. UTEP, May 2018
My early passion for Mathematics is not a question to any of my family members and friends. This passion has evolved into computational research over years and has provided me the means to collaborate in a handful of outstanding multidisciplinary research projects among which ARL research project within Stanford Army High-performance Computing Research Center (AHPCR) on reduced-order modeling for large-scale numerical simulations stands out. My contribution to this research project was to develop and implement new algorithms to handle uncertainty in the process of model-order reduction.
I have also contributed in the development and implementation of an open-source spatial soil moisture prediction automated tool (known as SOMOSPIE). My work was focused on the analysis and processing of satellite-derived soil moisture estimates at coarse resolution, analysis of terrestrial parameters as inputs for soil moisture modeling at fine resolution and modeling of data-layers of soil moisture information on different spatial and temporal scales. Our activities were also centered on testing different validation approaches for fine resolution modeled soil moisture and different techniques of results analysis and visualization.
I have presented the result of my research projects in over 22 conferences worldwide.
Several years of lecturing classes in Spanish and English have been very rewarding and has helped me connect and interact with a wide spectrum of students with versatile backgrounds.