Stanford Doerr School of Sustainability
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Jood Al Aswad
Ph.D. Student in Geological Sciences, admitted Autumn 2019
BioMy interests are in ecosystem recovery from mass extinction events and hyperthermal periods, spatial and temporal trends in the fossil record, ecophysiology, and taxonomic identification.
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Adel Asadi
Postdoctoral Scholar, Earth and Planetary Sciences
BioAdel Asadi is a Postdoctoral Scholar at Stanford University's Department of Earth and Planetary Sciences, in the Doerr School of Sustainability. He is a member of Stanford Mineral-X initiative, a program dedicated to pioneering sustainable critical minerals exploration to facilitate the transition to green energy. Under the supervision of Prof. Jef Caers, Adel's research is focused on mineral exploration, leveraging data science tools and artificial intelligence algorithms. Through the integrated geological data analysis, his goal is to enhance the predictive accuracy of models for discovering high-grade mineral deposits, thereby enabling decision-making with higher certainty. He is currently collaborating with Ero Copper Corporation, headquartered in Vancouver, Canada, on discovery of new economic copper and nickel deposits in Brazil.
Before joining Stanford University, Adel was a Postdoctoral Scholar at Tufts University in Massachusetts. There, he conducted research on renewable energy systems at the Offshore Wind Energy group. Under Prof. Babak Moaveni’s supervision, in a project funded by the National Science Foundation (NSF), he exploited multiple-point geostatistics to simulate offshore wind speed and direction in a multi-variate context, using numerical weather models, satellite/radar remote sensing, observational, and geospatial data.
Adel Asadi earned his PhD in Civil and Environmental Engineering with a Geosystems specialization from Tufts University. His doctoral work in the Geohazards Research Lab involved a diverse toolkit (computer vision, machine learning, remote sensing, and geographic information systems) to model earthquake-induced ground failure hazards (soil liquefaction) and map post-earthquake ground failure damages (landslides and liquefaction) on global, regional, and event-specific scales. His dissertation research was funded by the US Geological Survey (USGS) and the National Geospatial Intelligence Agency (NGIA).
During his Master's study in Mining Engineering at Michigan Technological University, under Prof. Snehamoy Chatterjee’s supervision, he developed a novel multiple-point geostatistical simulation algorithm for Earth resources modeling and uncertainty quantification. He also worked on a space mining research project aimed at mapping iron and titanium on the lunar surface using remote sensing data and machine learning algorithms. Additionally, he gained one year of professional experience in the copper mining industry in the US through three internships in Sierrita and Morenci operations at Freeport-McMoRan Inc., Arizona.
