Stanford Doerr School of Sustainability
Showing 1-10 of 17 Results
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Carlos Alvarez Zambrano
Postdoctoral Scholar, Geological Sciences
BioCarlos' research interests include granular matter transport, sand dunes, multiphase flows, and the transport of particles in the atmosphere. At Stanford, Carlos is investigating the formation of eolian bedforms on Mars and Earth.
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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 an affiliate member of the 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.
Before joining Stanford University, Adel was a Postdoctoral Scholar at Tufts University in Massachusetts. There, he conducted research in natural hazards and renewable energy domains. Under Prof. Laurie Baise’s supervision, he developed a novel ensemble machine learning method to assess earthquake-induced soil liquefaction hazards, notably for the 2023 Türkiye Earthquakes. 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, 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 through three internships at Freeport-McMoRan Inc. in Arizona. -
Amir Eskanlou
Postdoctoral Scholar, Earth and Planetary Sciences
BioWith over a decade of research experience, Amir's work is characterized by a dynamic synergy between hands-on experimental investigations and advanced computational analysis. His foundation is primarily in surface and interface chemistry, particle-bubble and particle-reagent interactions, adsorption, and dissolution in the context of critical materials recovery and mineral processing. Amir has extensive experience with characterization techniques, including SEM/EDS, UV-Vis, XRD, XRF, fluorescence spectroscopy, FTIR, and Zetasizer. On the computational front, he is proficient in using DFT codes (QE, VASP, JDFTx) for ab initio computations, LAMMPS for large-scale molecular dynamics, and Python and R for ML and data analysis.
Amir is interested in developing innovative materials and chemicals for applications in separation and purification processes, recovery of critical minerals, energy storage, and waste valorization. -
Tianyang Guo (郭天阳)
Postdoctoral Scholar, Geological Sciences
BioDr. Tianyang Guo earned his Ph.D. degree in Rock Mechanics from the Department of Earth Sciences, the University of Hong Kong in 2020. He earned his bachelor's and master’s degree from Wuhan University (WHU) in 2013 and 2016, respectively. He was awarded the National Scholarship for Graduate in 2015 and graduated from WHU as an outstanding graduate. Before joining Stanford, he was a Postdoctoral Fellow in the Department of Civil and Environmental Engineering at the Hong Kong Polytechnic University (PolyU) under PolyU Distinguished Postdoctoral Fellowship Scheme 2021.
His research interests include (1) Cracking mechanisms and induced microseismicity during the injection of CO2 into reservoir rocks. (2) Application of machine learning in acoustic emission (AE) data interpretation. (3) Microcracking mechanisms of granite based on AE and microscopic observation.
