Stanford Doerr School of Sustainability
Showing 551-560 of 1,348 Results
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Robert Huggins
Professor of Materials Science and Engineering, Emeritus
BioProfessor Huggins joined Stanford as Assistant Professor in 1954, was promoted to Associate Professor in 1958, and to Professor in 1962.
His research activities have included studies of imperfections in crystals, solid-state reaction kinetics, ferromagnetism, mechanical behavior of solids, crystal growth, and a wide variety of topics in physical metallurgy, ceramics, solid state chemistry and electrochemistry. Primary attention has recently been focused on the development of understanding of solid state ionic phenomena involving solid electrolytes and mixed ionic-electronic conducting materials containing atomic or ionic species such as lithium, sodium or oxygen with unusually high mobility, as well as their use in novel battery and fuel cell systems, electrochromic optical devices, sensors, and in enhanced heterogeneous catalysis. He was also involved in the development of the understanding of the key role played by the phase composition and oxygen stoichiometry in determining the properties of high temperature oxide superconductors.
Topics of particular recent interest have been related to energy conversion and storage, including hydrogen transport and hydride formation in metals, alloys and intermetallic compounds, and various aspects of materials and phenomena related to advanced lithium batteries.
He has over 400 professional publications, including three books; "Advanced Batteries", published by Springer in 2009, "Energy Storage", published by Springer in 2010, and Energy Storage, Second Edition in 2016. -
Holmes Hummel, PhD
Managing Director, Energy Transition Strategies, Precourt Institute for Energy
Current Role at StanfordEnergy Equity & Just Transitions, Managing Director
Precourt Institute for Energy
Resident Fellow, Explore Energy House
Coordinating Council Member, Environmental Justice Working Group
Advisory Member, Partnership in Climate Justice in the Bay
Collaborator in Collaborative Learning about Equity and Rapid Decarbonization (CLEAR Decarbonization), one of the first projects selected for an award from the Stanford Sustainability Accelerator -
Hillard Huntington
Researcher, Contingent
Executive Director, Energy Modeling Forum
Staff, Management Science and Engineering - Energy Modeling ForumBioHuntington is Executive Director of Stanford University's Energy Modeling Forum, where he conducts studies to improve the usefulness of models for understanding energy and environmental problems. In 2005 the Forum received the prestigious Adelman-Frankel Award from the International Association for Energy Economics for its "unique and innovative contribution to the field of energy economics."
His current research interests are modeling energy security, energy price shocks, energy market impacts of environmental policies, and international natural gas and LNG markets. In 2002 he won the Best Paper Award from the Energy Journal for a paper co-authored with Professor Dermot Gately of New York University.
He is a Senior Fellow and a past-President of the United States Association for Energy Economics and a member of the National Petroleum Council. He was also Vice-President for Publications for the International Association for Energy Economics and a member of the American Statistical Association's Committee on Energy Data. Previously, he served on a joint USA-Russian National Academy of Sciences Panel on energy conservation research and development.
Huntington has testified before the U.S. Senate Committee on Foreign Relations and the California Energy Commission.
Prior to coming to Stanford in 1980, he held positions in the corporate and government sectors with Data Resources Inc., the U.S. Federal Energy Administration, and the Public Utilities Authority in Monrovia, Liberia (as a U.S. Peace Corps Volunteer). -
Stepfan Huntsman
Ph.D. Student in Geological Sciences, admitted Winter 2022
BioI've had an interest in rocks and fossils since I was a small child, amassing a large collection in my youth, but hadn't considered it a viable career path instead starting my path as a social scientist studying gender and sexuality. My interest in a career in paleontology peaked after finishing my first degree, leading me to pursue a second bachelors degree. While working on my undergraduate at Weber State I discovered a true deep love of plants as well as a curiosity about the methods they use to adapt to new environments, which has lead me to pursuing a doctoral degree here at Stanford University.
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Khoi Huynh
Program Support Associate, Woods Research Natural Capital Project
BioKhoi Huynh (he/him) is a program support associate with the Natural Capital Alliance and previously worked for Stanford's Department of Physics for many years. Born in Vietnam, he grew up in rural Michigan and earned his BA from Michigan State University. A birder since childhood, he is enthusiastic about environmental protection, sustainability and appreciation for the natural world. He's also a longtime musician, performing and recording with numerous bands, one of which is the house band for Lindsay Wildlife Experience's annual celebration of Lord Richard, the world's oldest turkey vulture.
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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.
