Stanford University
Showing 341-360 of 1,348 Results
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Abbas El Gamal
Hitachi America Professor in the School of Engineering
BioAbbas El Gamal is the Hitachi America Professor in the School of Engineering and Professor in the Department of Electrical Engineering at Stanford University. He received his B.Sc. Honors degree from Cairo University in 1972, and his M.S. in Statistics and Ph.D. in Electrical Engineering both from Stanford University in 1977 and 1978, respectively. From 1978 to 1980, he was an Assistant Professor of Electrical Engineering at USC. From 2003 to 2012, he was the Director of the Information Systems Laboratory at Stanford University. From 2012 to 2017 he was Chair of the Department of Electrical Engineering at Stanford University. His research contributions have been in network information theory, FPGAs, and digital imaging devices and systems. He has authored or coauthored over 230 papers and holds 35 patents in these areas. He is coauthor of the book Network Information Theory (Cambridge Press 2011). He has received several honors and awards for his research contributions, including the 2016 Richard W. Hamming Medal, the 2012 Claude E. Shannon Award, and the 2004 INFOCOM Paper Award. He is a member of the U.S. National Academy of Engineering and a Fellow of the IEEE. He has co-founded and served on the board of directors and advisory boards of several semiconductor and biotechnology startup companies.
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Lama El Halabi
Ph.D. Student in Energy Science and Engineering, admitted Spring 2022
Masters Student in Energy Resources Engineering, admitted Autumn 2020BioI am a PhD candidate in the Department of Energy Sciences and Engineering and a Data Science Scholar, advised by Adam Brandt. My research is driven by the crucial role renewable energy must play in sustainably meeting our energy demands. The major challenge in transitioning to renewable energy lies in the intermittent and inherently uncertain nature of these energy sources. My current research focuses on predicting energy outputs from these stochastically behaving sources, with an emphasis on uncertainty quantification and volatility. Specifically, I employ computer vision models and statistical techniques to develop short-term probabilistic photovoltaic (PV) power forecasts from sky images and time-series PV data. I hold an MS in Energy Resources Engineering from Stanford and a BE in Mechanical Engineering and a BS in Physics from the American University of Beirut. Previously, my research involved using machine learning to model water resources.
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Robin Elahi
Advanced Lecturer
BioI am an advanced lecturer at Stanford University’s Hopkins Marine Station, where I teach courses in kelp forest ecology, statistics, and scientific computing. In general, I study drivers of spatial and temporal change in marine ecosystems. Ongoing and recent research projects include:
-examining the consequences of fisheries closures on fisher behavior
-understanding why some coral reefs fare better than their neighbors
-biodiversity and body size change, particularly in the context of recent human impacts -
Emily Ellefson
Ph.D. Student in Geological Sciences, admitted Autumn 2021
Current Research and Scholarly InterestsI am a palynologist, that is, I study fossilized pollen and spores! Previously I have worked on Permian-Triassic and Jurassic-Cretaceous palynology, but here at Stanford I'm excited to be exploring a new time interval and will be working on Silurian-Devonian palynology. My research will focus on how the evolution of terrestrial plants affected the marine redox record through palynology, paleobotany, and geochemistry.
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William Ellsworth
Professor (Research) of Geophysics, Emeritus
BioMy research interests can be broadly defined as the study of active faults, the earthquakes they generate and the physics of the earthquake source. A major objective of my work is to improve our knowledge of earthquake hazards through the application of physics-based understanding of the underlying processes. As Co-Director of the Stanford Center for Induced and Triggered Seismicity, my students, postdocs and I conduct multi-disciplinary studies into the causes and consequences of anthropogenic earthquakes in a wide variety of settings. I have also long been committed to earthquake risk reduction, specifically through the transfer of scientific understanding of the hazard to people, businesses, policymakers and government agencies. Before coming to Stanford in 2015, I was a research geophysicist at the U. S. Geological Survey in Menlo Park, California for more than 40 years where I focused on problems of seismicity, seismotectonics, probabilistic earthquake forecasting, and earthquake source processes
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Anton Ermakov
Assistant Professor of Aeronautics and Astronautics and, by courtesy, of Geophysics and of Earth and Planetary Sciences
Current Research and Scholarly InterestsI am interested in the formation and evolution of the Solar System bodies and the ways we can constrain planetary interiors by geophysical measurements.
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Stefano Ermon
Associate Professor of Computer Science and Senior Fellow at the Woods Institute for the Environment
On Partial Leave from 10/01/2024 To 06/30/2025BioI am an Assistant Professor in the Department of Computer Science at Stanford University, where I am affiliated with the Artificial Intelligence Laboratory and a fellow of the Woods Institute for the Environment.
My research is centered on techniques for scalable and accurate inference in graphical models, statistical modeling of data, large-scale combinatorial optimization, and robust decision making under uncertainty, and is motivated by a range of applications, in particular ones in the emerging field of computational sustainability. -
W Gary Ernst
The Benjamin M. Page Professor in Earth Sciences, Emeritus
Current Research and Scholarly InterestsPetrology/geochemistry and plate tectonics of Circumpacific and Alpine mobile belts; ultrahigh-pressure metamorphism in Eurasia; geology of the California Coast Ranges, the cental Klamath Mountains, and White-Inyo Range; geobotany and remote sensing of the American Southwest; mineralogy and human health.
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Amir Eskanlou
Postdoctoral Scholar, Earth and Planetary Sciences
BioAmir specializes in mineral processing, and computational materials science. At Stanford, he explores the electronic structure of minerals, mineral-water, and mineral-reagent interfaces using AI-accelerated quantum mechanical computations. His research focuses on developing an intelligent framework for discovering and designing novel chemical reagents/ ligands that target the subtle quantum-mechanical properties of minerals/ metals. The outcomes of his work aim to enable the selective separation and extraction of critical minerals and metals from both primary and secondary resources.
In addition, Amir collaborates on AI-driven optimization and design of processing operations under uncertainty, contributing to the sustainable development of critical mineral supply chains.
