School of Engineering
Showing 2,301-2,400 of 6,557 Results
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Joseph Huang
Associate Director of Development, Major Gifts, School of Engineering - External Relations
Current Role at StanfordExecutive Director of Strategic Research Initiatives.
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KC Huang
LeRa Professor and Professor of Microbiology and Immunology
On Leave from 01/01/2026 To 03/31/2026Current Research and Scholarly InterestsHow do cells determine their shape and grow?
How do molecules inside cells get to the right place at the right time?
Our group tries to answer these questions using a systems biology approach, in which we integrate interacting networks of protein and lipids with the physical forces determined by the spatial geometry of the cell. We use theoretical and computational techniques to make predictions that we can verify experimentally using synthetic, chemical, or genetic perturbations. -
Ngan F. Huang
Associate Professor of Cardiothoracic Surgery (Cardiothoracic Surgery Research) and, by courtesy, of Chemical Engineering
Current Research and Scholarly InterestsDr. Huang's laboratory aims to understand the chemical and mechanical interactions between extracellular matrix (ECM) proteins and pluripotent stem cells that regulate vascular and myogenic differentiation. The fundamental insights of cell-matrix interactions are applied towards stem cell-based therapies with respect to improving cell survival and regenerative capacity, as well as engineered vascularized tissues for therapeutic transplantation.
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Pei Huang (黄 沛)
Postdoctoral Scholar, Computer Science
Current Research and Scholarly InterestsAutomated Reasoning, Trustworthy AI, Neural Symbolic Methods, Constraint Solving
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Possu Huang
Assistant Professor of Bioengineering
Current Research and Scholarly InterestsProtein design: molecular engineering, method development and novel therapeutics
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Suning Huang
Ph.D. Student in Aeronautics and Astronautics, admitted Autumn 2024
BioRobotics researcher, dedicated in learning & control.
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Dr. G. Scott Hubbard
Affiliate, Aeronautics and Astronautics
BioDr. Hubbard's research interests include the study of both human and robotic exploration of space with a particular focus on technology and missions for planetary exploration, especially Mars. Prof. Hubbard is also an expert on the emerging entrepreneurial space industry and is the Director Emeritus of the Stanford Center of Excellence for Commercial Space Transportation (COE CST). As part of his ongoing engagement with robotic Mars missions, Hubbard serves as a member of National Academy of Science review groups and as a frequent consultant to NASA projects. Current topics include the Mars Sample Return architecture and studying the infusion of science objectives into human exploration missions. Dr. Hubbard's commercial space interests examine policies to enable, facilitate and promote such ventures. As the former Director of NASA's Ames Research Center, he maintains an active connection to the space exploration community. Hubbard is also the Founding Editor-in-Chief of the peer-reviewed journal New Space.
Brief Biography: Dr. Scott Hubbard has been a leader in space exploration for almost 50 years. His career includes a National Lab, a start-up venture, NASA, and Stanford. At NASA, Dr. Hubbard is best known as Director of NASA’s Ames Research Center, the first Mars Program Director (aka the "Mars Czar"), and the founder of NASA's Astrobiology Institute. As the sole NASA member of the Columbia Accident Investigation Board (CAIB), Hubbard’s work demonstrated the definitive technical cause of the accident. At Stanford, Hubbard has been very active in the emerging entrepreneurial space enterprise, establishing a peer-reviewed journal New Space, and creating the Stanford Center of Excellence for Commercial Space Transportation., From 2012 to 2023 Hubbard chaired the SpaceX Commercial Crew Safety Advisory Panel. Although now retired from teaching and advising he continues to serve on various committees for the National Academy, NASA and other groups. He is the author of the award winning "Exploring Mars: Chronicles from a Decade of Discovery" and his many honors include eight NASA medals including NASA’s highest recognition, the Distinguished Service Medal. Dr. Hubbard is also an Honorary Fellow of the AIAA. A brief video of Hubbard's career may be viewed at https://vimeo.com/172038243. More background is available at https://gscotthubbard.com/ including Hubbard's lifelong passion for playing music.
Selected Honors
2022 Elected Cosmos Club, Distinguished in Space Science
2019 Honorary Fellow, American Institute of Aeronautics and Astronautics (AIAA)
2018 Vanderbilt Student Media Hall of Fame
2016 Henry Clay Distinguished Kentuckian Award
2016 NASA Exceptional Public Service Medal for NASA Advisory Council
2013 Kentucky Aviation Museum Hall of Fame
2013 Bronze Medal in Science; “Exploring Mars”, Independent Publishers Book Awards
2007 Challenger Learning Center Distinguished Achievement Award.
2006 Carl Sagan Memorial Award by the American Astronautical and Planetary Societies
2006 Presidential Meritorious Rank Senior Executive
2006 Doctor Honoris Causa Polytechnic University of Madrid
2005 NASA Exceptional Service Medal for Columbia Accident Board report
2004 Distinguished Service Medal (NASA’s Highest Award) for demonstrating the physical cause of the Columbia accident
2004 Engineering Science Award, International Academy of Astronautics
2004 Von Kármán medal in the field of Astronautics
2003 Elected Fellow, AIAA
2002 NASA Outstanding Leadership Medal for Mars Odyssey
2001 NASA Exceptional Achievement Medal for Mars Program Restructuring
1999 NASA Outstanding Leadership Medal for Lunar Prospector Mission
1998 “Laurels” from Aviation Week for Lunar Prospector
1998 NASA Outstanding Leadership Medal for Mars Pathfinder Project
1997 “Laurels” from Aviation Week for Mars Pathfinder
1994 NASA Exceptional Achievement Medal for creation of Mars Pathfinder mission. -
Fabio Hübel
Graduate Visiting Researcher Student, Aeronautics and Astronautics
BioVisiting Student Research at Marco Pavone's Group (Autonomous Systems Lab).
Master Thesis in autonomous navigation and exploration for quadrupeds. -
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. -
Kuo-Han Hung
Masters Student in Computer Science, admitted Autumn 2025
BioFirst-year Computer Science Master’s student at Stanford, originally from Taipei, Taiwan.
Passionate about robotics and AI, with a focus on developing robot policies that are more generalizable and reliable. Open to research collaborations and work opportunities in embodied AI and machine learning.
Website: https://khhung-906.github.io -
Sydney Hunt
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioSydney Hunt (she/her), from Cornwall, New York, is a Knight-Hennessy Scholar pursuing a PhD in electrical engineering with a focus on brain-computer interfaces (BCI) at Stanford School of Engineering. She is advised by Paul Nuyujukian, MD, PhD in the Brain Interfacing Laboratory.
She currently serves as a Trustee on the Duke University Board of Trustees, Knight-Hennessy Scholar Ambassador, and on the Knight-Hennessy Scholar Experience Committee. She graduated with distinction from Duke University with bachelor’s degrees in electrical/computer engineering and computer science (concentration in artificial intelligence and machine learning), and a minor in gender, sexuality, and feminist studies.
An aspiring professor, Sydney passionately commits herself to STEM retention as a founding member of both the nonprofit CS Sidekicks and Duke’s S.P.I.R.E. Fellows Living Learning Community. She conducted and published her BCI research at Caltech (Richard Andersen’s lab) and MIT (Polina Anikeeva’s lab) through the WAVE Fellows and MIT SRP-Bio programs, respectively. She enjoys playing soccer, trying new food, and dad jokes. Sydney is certified in Mental Health First Aid and a recipient of Duke’s Reginaldo Howard Memorial Scholarship. -
Hillard Huntington
Executive Director, Energy Modeling Forum
Researcher, Management Science and Engineering - 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). -
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. -
Donald Iglehart
Professor of Engineering-Economic Systems & Operations Research, Emeritus
BioDonald L. Iglehart is a John von Neumann Theory Prize recipient who has made fundamental contributions to performance analysis, optimization, and simulation of stochastic systems. Iglehart received his Bachelor’s degree in Engineering Physics from Cornell in 1956, his Master’s degree in Mathematical Statistics from Stanford University in 1959, and his PhD in the same subject from Stanford in 1961. His dissertation was supervised by Herbert E. Scarf and Samuel Karlin, and the topic was on dynamic programming and stationary analysis of inventory problems. He taught at Cornell University from 1961 to 1967 and came to Stanford in 1967, where he has been emeritus since 1999. In1976, he spent a very productive year as an Overseas Fellow at Churchill College at Cambridge University. In his capacity as a PhD advisor, he has had many notable students, including Peter Glynn, Peter Haas, Phil Heidelberger, Doug Kennedy, and Ward Whitt.
Iglehart was jointly awarded the John von Neumann Theory Prize in 2002 with Cyrus Derman, the same year he was named an inaugural Fellow of the Institute for Operations Research and the Management Sciences. He was recognized for having pioneered and developed diffusion limits and approximations for heavily congested stochastic systems. His ideas provided tractable limiting processes and readily computable approximations for complex queueing and other stochastic systems for which closed-form solutions have proved intractable. Iglehart’s original research and contributions have heavily influenced queueing theory in the years since their publication, and his papers have been cited in hundreds of publications. Some of his other work has focused on inventory and distribution problems.
Iglehart was also honored by the INFORMS Simulation Society in 2012 with its highest honor, the Lifetime Professional Achievement Award (LPAA). His foundational work in that field recognized and exploited the underlying stochastic structure of simulation as a means of producing enhanced simulation methodologies. For example, he introduced and led the development of the regenerative method for stochastic simulation output analysis, inspiring a flood of significant contributions to simulation methodology. In the late 1980s, Iglehart and Glynn incorporated such techniques as importance sampling into stochastic simulations. The LPAA also noted his ability to clearly organize and articulate deep theory in his presentations and writing, and recognized his education of Ph.D. students who have had, individually and cumulatively, a profound impact on simulation education and research. The citation for his award states that "It is no exaggeration to say that Don Iglehart’s contributions made simulation a respectable research discipline in some circles of the operations research community."
In addition to being an INFORMS Fellow, Iglehart was elected in 1999 to the National Academy of Engineering, having been selected for his contributions to queueing theory, simulation methodology, inventory control, and diffusion approximations. He was also honored in 1971 through his induction as a Fellow of the Institute of Mathematical Statistics.
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Historical Academic Appointments:
1961-67 School of Operations Research and Industrial Engineering, Cornell University
1967-96 Department of Operations Research, Stanford University
1996-99 Department of Engineering-Economic Systems and Operations Research, Stanford University -
Matthias Ihme
Professor of Mechanical Engineering, of Photon Science and, by courtesy, of Energy Science and Engineering
BioLarge-eddy simulation and modeling of turbulent reacting flows, non-premixed flame, aeroacoustics and combustion generated noise, turbulence and fluid dynamics, numerical methods and high-order schemes.
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Marie Imad
Masters Student in Mechanical Engineering, admitted Autumn 2025
BioMaster’s degree, Ecole Nationale Supérieure d'Arts et Métiers (ENSAM), Mechanical Engineering (2026)
Bachelor’s degree, Ecole Nationale Supérieure d'Arts et Métiers (ENSAM), Mechanical Engineering (2024)
Preparatory class, Lycée Chaptal (Paris), Mathematics / Physics / Chemistry (2023) -
Umran Inan
Professor of Electrical Engineering, Emeritus
BioThrough measurements in space and at multiple remote sites in Antarctica, Alaska, and the continental United States, Professor Inan studies the Earth's ionosphere and upper atmosphere. Of particular interest are ionospheric effects of lightning discharges and the recently discovered phenomena of electrical discharges and luminous glows at high altitudes above thunderstorms. He also studies physical processes in the Earth's near-space environment, including space weather effects on navigation and communication signals, electrodynamic coupling of the ionosphere to the magnetosphere, wave-induced precipitation of particles out of the radiation belts, and cyclotron resonant interactions between electromagnetic waves and energetic electrons. He is also involved in the development of ultra-low-power and miniaturized radio receivers for use in remote polar regions and on micro-satellites.
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Alexander Infanger
Affiliate, Management Science and Engineering
BioI am a second year PhD student at the Institute for Computational and Mathematical Engineering. I currently work on mean field models of (randomly) interacting agents with professor Peter Glynn.
