Stanford Doerr School of Sustainability
Showing 1-10 of 19 Results
-
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. -
Amir Eskanlou
Postdoctoral Scholar, Earth and Planetary Sciences
BioI specialize in mineral processing and computational materials science. At Stanford, I study the electronic structure of critical minerals and mineral-water / mineral-reagent interfaces using AI-accelerated quantum mechanical (QM) computations. My research focuses on developing an intelligent framework for discovering and designing novel chemical reagents and ligands that target the subtle QM properties of minerals and metals. The outcomes of my work aim to enable the selective recovery of critical materials from primary and secondary resources.
In addition, I collaborate on AI-driven optimization and design of mineral processing operations under uncertainty. -
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. -
Jonas Kloeckner
Postdoctoral Scholar, Earth and Planetary Sciences
BioJonas Kloeckner is a Postdoctoral Fellow at the Stanford Doerr School of Sustainability, sponsored by the Stanford Institute for Human-Centered Artificial Intelligence (HAI). He specializes in critical mineral exploration essential for the sustainable energy transition. Utilizing his expertise in artificial intelligence and resource forecasting, Mr. Kloeckner leads initiatives that strive to align with global sustainability goals.
Jonas earned his PhD in Engineering from the Federal University of Rio Grande do Sul (UFRGS), Brazil, where he later served as a Postdoctoral Fellow at the Institute of Geosciences. His doctoral and postdoctoral research focused on advancing geostatistical methods for Earth resources forecasting, significantly contributing to the field.
Previously, Jonas was a Visiting Research Scholar at Stanford University under the mentorship of Professor Jef Caers. He holds a Master’s and Bachelor’s degree in Mining Engineering from UFRGS, with additional international studies at Ecole des Mines d’Alès, France, and as a visiting student at Columbia University, USA.
Jonas’s current research integrates spatial data analysis with advanced decision-making processes in subsurface systems, enhancing resource management strategies and supporting sustainable mining practices. Beyond academia, he actively collaborates on various international projects, optimizing resource extraction and minimizing environmental impacts through innovative technology and interdisciplinary collaboration.
