Syvitski Student Modeler Award 2018: Difference between revisions
From CSDMS
(Created page with "{{StudentAwards |Year=2018 |Awardee= |Institute= |Picture= |Narrative= }}") |
No edit summary |
||
| Line 1: | Line 1: | ||
{{StudentAwards | {{StudentAwards | ||
|Year=2018 | |Year=2018 | ||
|Awardee= | |Awardee=Julio Hoffiman Mendes | ||
|Institute= | |Institute=Stanford University | ||
|Picture= | |Picture=Julio.jpg | ||
|Narrative= | |Narrative=Julio was awarded for his geostatistical contributions and advances in high performance computing. His submission, [https://www.sciencedirect.com/science/article/pii/S0098300417301139 ImageQuilting.jl: A code for generating realistic 3D subsurface models from data collected in flume experiments]. Julio developed techniques originating from data visualization sciences into new algorithms to unraveling landscape patterns into small patches and quilting them back together into synthetic sets of images to quantify uncertainty in sedimentary architecture. Advisor: Jef Caers, Stanford University | ||
}} | }} | ||
Latest revision as of 13:05, 5 March 2021
Julio Hoffiman Mendes, recipient of the 2018 Syvitski Student Modeler award
Stanford University
