Stanford University
Showing 81-90 of 132 Results
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Norman Sleep
Professor of Geophysics, Emeritus
Current Research and Scholarly InterestsPhysics of large-scale processes in the Earth
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Alexandra May Smith
Communications Associate, Woods Institute
BioAlex helps to expand the visibility and impact of the Woods Institute for the Environment by amplifying the institute's research publications and news media engagement across digital channels. She is passionate about linking environmental research to action and is especially interested in the interplay of psychology and sustainability.
Before coming to Stanford, Alex worked in corporate social responsibility. She holds a BA in Psychology from UC Santa Cruz and an MS in Applied Social Psychology from Royal Holloway, University of London. -
Olav Solgaard
Director, Edward L. Ginzton Laboratory and Robert L. and Audrey S. Hancock Professor in the School of Engineering
BioThe Solgaard group focus on design and fabrication of nano-photonics and micro-optical systems. We combine photonic crystals, optical meta-materials, silicon photonics, and MEMS, to create efficient and reliable systems for communication, sensing, imaging, and optical manipulation.
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George Somero
David and Lucile Packard Professor in Marine Science, Emeritus
Current Research and Scholarly InterestsWe examine two aspects of organism-environment interactions: How does stress from physical (e.g., temperature) and chemical (oxygen levels, pH) factors perturb organisms and how do organisms respond, adaptively, to cope with this stress? We examine evolutionary adaptation and phenotypic acclimatization using a wide variety of marine animals, including Antarctic fishes and invertebrates from intertidal habitats on the coastlines of temperate and tropical seas.
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Suihong Song
Postdoctoral Scholar, Energy Resources Engineering
BioSuihong Song collaborates with Professor Tapan Mukerji at the Stanford Center for Earth Resources Forecast (SCERF) as a postdoctoral scholar. His research is centered on integrating machine learning with geosciences, specifically focusing on machine learning-based reservoir characterization and geomodelling, Physics-informed Neural Networks (PINNs) and neural operators as well as their applications in porous flow simulations, neural networks-based surrogate and inversion, decision-making under uncertainty, and machine learning-based geological interpretation of well logs and seismic data. These research endeavors have practical applications in managing underground water resources, oil and gas exploration, geological storage of CO2, and the evaluation of hydrothermal and natural hydrogen, among others.Song proposed GANSim, an abbreviation for Generative Adversarial Networks-based reservoir simulation, which presents a reservoir geomodelling workflow. This innovative approach has been successfully implemented in various 3D field reservoirs by international oil companies, including ExxonMobil.