Stanford Doerr School of Sustainability
Showing 561-580 of 1,352 Results
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Harold Hwang
Director, Stanford Institute for Materials and Energy Sciences (SIMES), Shadi and Omid Farokhzad Professor in the School of Humanities and Sciences, Professor of Photon Science and Senior Fellow at the Precourt Institute for Energy
BioHarold Y. Hwang is the Shadi and Omid Farokhzad Professor in the School of Humanities and Sciences, of Applied Physics (Stanford University), of Photon Science (SLAC National Accelerator Laboratory), Senior Fellow of the Precourt Institute for Energy, and Director of the Stanford Institute for Materials and Energy Sciences. He received a BS in Physics, BS and MS in Electrical Engineering from MIT (1993), and a PhD in Physics from Princeton University (1997). He was formerly a Member of Technical Staff at Bell Laboratories (1996-2003) and on the faculty at the University of Tokyo (2003-2010). His research is in condensed matter and materials physics, with a focus on correlated electrons and emergent phenomena in quantum materials, and heterostructures for energy applications and devices.
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Gianluca Iaccarino
Robert Bosch Chair of the Department of Mechanical Engineering and Joseph L. and Roberta M. Rodgers Professor
Current Research and Scholarly InterestsComputing and data for energy, health and engineering
Challenges in energy sciences, green technology, transportation, and in general, engineering design and prototyping are routinely tackled using numerical simulations and physical testing. Computations barely feasible two decades ago on the largest available supercomputers, have now become routine using turnkey commercial software running on a laptop. Demands on the analysis of new engineering systems are becoming more complex and multidisciplinary in nature, but exascale-ready computers are on the horizon. What will be the next frontier? Can we channel this enormous power into an increased ability to simulate and, ultimately, to predict, design and control? In my opinion two roadblocks loom ahead: the development of credible models for increasingly complex multi-disciplinary engineering applications and the design of algorithms and computational strategies to cope with real-world uncertainty.
My research objective is to pursue concerted innovations in physical modeling, numerical analysis, data fusion, probabilistic methods, optimization and scientific computing to fundamentally change our present approach to engineering simulations relevant to broad areas of fluid mechanics, transport phenomena and energy systems. The key realization is that computational engineering has largely ignored natural variability, lack of knowledge and randomness, targeting an idealized deterministic world. Embracing stochastic scientific computing and data/algorithms fusion will enable us to minimize the impact of uncertainties by designing control and optimization strategies that are robust and adaptive. This goal can only be accomplished by developing innovative computational algorithms and new, physics-based models that explicitly represent the effect of limited knowledge on the quantity of interest.
Multidisciplinary Teaching
I consider the classical boundaries between disciplines outdated and counterproductive in seeking innovative solutions to real-world problems. The design of wind turbines, biomedical devices, jet engines, electronic units, and almost every other engineering system requires the analysis of their flow, thermal, and structural characteristics to ensure optimal performance and safety. The continuing growth of computer power and the emergence of general-purpose engineering software has fostered the use of computational analysis as a complement to experimental testing in multiphysics settings. Virtual prototyping is a staple of modern engineering practice! I have designed a new undergraduate course as an introduction to Computational Engineering, covering theory and practice across multidisciplanary applications. The emphasis is on geometry modeling, mesh generation, solution strategy and post-processing for diverse applications. Using classical flow/thermal/structural problems, the course develops the essential concepts of Verification and Validation for engineering simulations, providing the basis for assessing the accuracy of the results. -
Dan Iancu
Professor of Operations, Information and Technology at the Graduate School of Business
BioDan A. Iancu is a Professor of Operations, Information, and Technology and the Srivani Faculty Fellow at the Stanford Graduate School of Business, and the Peiros Family Faculty Fellow at the Stanford King Center on Global Development. His work examines how individuals and organizations can use analytics, optimization, and AI to make better decisions under uncertainty.
His research has two connected threads. One develops optimization and AI-enabled approaches for decision-making under uncertainty; the other applies these tools, together with economic modeling and empirical analysis, to problems in global supply chains, sustainable operations, finance, healthcare, and public policy. Across both threads, he is interested in improving efficiency and resilience while advancing fairness and broader social and environmental goals. His work has appeared in leading journals in operations research and management science and has received best-paper awards from several INFORMS societies. He serves on several editorial boards, including as Area Editor for Optimization at Operations Research and as an Associate Editor at Management Science.
His teaching spans doctoral, MBA, and executive programs, with courses on analytics, optimization, responsible AI, value chain management, and resilient and sustainable supply chains.
Before joining Stanford, he was a Goldstine Fellow at IBM T.J. Watson Research Center. He holds degrees from Yale, Harvard, and MIT. -
James C. Ingle, Jr.
The W. M. Keck Professor of Earth Sciences, Emeritus
Current Research and Scholarly InterestsCurrent research interests include the Neogene stratigraphy, paleoceanography, and depositional history of marine basins and continental margins of the Pacific Ocean with a focus on the California borderland and Gulf of California. Other interests involve study of marine diatomaceous sediments, the sedimentary record of the oxygen minimum zone, and application of benthic and planktonic foraminifera to questions surrounding the history of the global ocean and climate change.
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John P.A. Ioannidis
George E. and Lucy Becker Professor of Medicine, Professor of Epidemiology and Population Health and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsMeta-research
Evidence-based medicine
Clinical and molecular epidemiology
Human genome epidemiology
Research design
Reporting of research
Empirical evaluation of bias in research
Randomized trials
Statistical methods and modeling
Meta-analysis and large-scale evidence
Prognosis, predictive, personalized, precision medicine and health
Sociology of science -
Keith Iverson
IT/Web Manager, Stanford Doerr School of Sustainability - Dean's Office
Current Role at StanfordIT/Web Manager at the Stanford Woods Institute for the Environment
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Rob Jackson
Michelle and Kevin Douglas Provostial Professor and Senior Fellow at the Woods Institute for the Environment and at the Precourt Institute for Energy
BioRob Jackson and his lab examine the many ways people affect the Earth. They produce basic scientific knowledge and use it to help shape policies and reduce the environmental footprint of global warming, energy extraction, and other environmental issues. They're currently examining the effects of climate change and drought on old-growth forests. They are also working to measure and reduce greenhouse gas emissions through the Global Carbon Project (globalcarbonproject.org), which Jackson chairs. Examples of new research Rob leads include establishing a global network of methane tower measurements across the Amazon and more than 100 sites worldwide and measuring and reducing methane emissions and air pollution from oil and gas wells, city streets, and homes and buildings.
Rob's new book on climate solutions, Into the Clear Blue Sky (Scribner and Penguin Random House), was named a "Top Science Book of 2024" by The Times. As an author and photographer, Rob has published a previous trade book about the environment (The Earth Remains Forever, University of Texas Press), two books of children’s poems, Animal Mischief and Weekend Mischief (Highlights Magazine and Boyds Mills Press), and recent or forthcoming poems in the journals Southwest Review, Cortland Review, Cold Mountain Review, Atlanta Review, LitHub, and more. His photographs have appeared in many media outlets, including the NY Times, Washington Post, USA Today, US News and World Report, Science, Nature, and National Geographic News.
Rob won this year's Blue Planet Prize and is a recent Djerassi artist in residence, Guggenheim Fellow, and sabbatical visitor in the Center for Advanced Study in the Behavioral Sciences. He is also a Fellow in the American Academy of Arts and Sciences, American Association for the Advancement of Science, American Geophysical Union, and Ecological Society of America. He received a Presidential Early Career Award in Science and Engineering from the National Science Foundation, awarded at the White House. -
Mark Z. Jacobson
Professor of Civil and Environmental Engineering and Senior Fellow at the Woods Institute for the Environment and at the Precourt Institute for Energy
BioMark Z. Jacobson’s career has focused on better understanding air pollution and global warming problems and developing large-scale clean, renewable energy solutions to them. Toward that end, he has developed and applied three-dimensional atmosphere-biosphere-ocean computer models and solvers to simulate air pollution, weather, climate, and renewable energy. He has also developed roadmaps to transition states and countries to 100% clean, renewable energy for all purposes and computer models to examine grid stability in the presence of high penetrations of renewable energy.
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Thomas Jaramillo
Professor of Chemical Engineering, of Energy Science Engineering, of Photon Science and Senior Fellow at the Precourt Institute for Energy
BioRecent years have seen unprecedented motivation for the emergence of new energy technologies. Global dependence on fossil fuels, however, will persist until alternate technologies can compete economically. We must develop means to produce energy (or energy carriers) from renewable sources and then convert them to work as efficiently and cleanly as possible. Catalysis is energy conversion, and the Jaramillo laboratory focuses on fundamental catalytic processes occurring on solid-state surfaces in both the production and consumption of energy. Chemical-to-electrical and electrical-to-chemical energy conversion are at the core of the research. Nanoparticles, metals, alloys, sulfides, nitrides, carbides, phosphides, oxides, and biomimetic organo-metallic complexes comprise the toolkit of materials that can help change the energy landscape. Tailoring catalyst surfaces to fit the chemistry is our primary challenge.
