School of Engineering
Showing 261-280 of 694 Results
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John Hennessy
President Emeritus, Shriram Family Director of the Knight-Hennessy Scholars Program, James F. and Mary Lynn Gibbons Professor and Professor of Electrical Engineering and of Computer Science
BioJohn L. Hennessy joined Stanford’s faculty in 1977 as an assistant professor of electrical engineering. He rose through the academic ranks to full professorship in 1986 and was the inaugural Willard R. and Inez Kerr Bell Professor of Electrical Engineering and Computer Science from 1987 to 2004.
From 1983 to 1993, Dr. Hennessy was director of the Computer Systems Laboratory, a research and teaching center operated by the Departments of Electrical Engineering and Computer Science that fosters research in computer systems design. He served as chair of computer science from 1994 to 1996 and, in 1996, was named dean of the School of Engineering. As dean, he launched a five-year plan that laid the groundwork for new activities in bioengineering and biomedical engineering. In 1999, he was named provost, the university’s chief academic and financial officer. As provost, he continued his efforts to foster interdisciplinary activities in the biosciences and bioengineering and oversaw improvements in faculty and staff compensation. In October 2000, he was inaugurated as Stanford University’s 10th president, a position he held until 2016. In 2016, he cofounded the Knight-Hennessy Scholars Program, which provides scholarships and leadership development for a global community of scholars enrolled in graduate programs at Stanford. The program admitted it's first class in 2018 and will provide full scholarships for up to 100 100 students every year.
A pioneer in computer architecture, in 1981 Dr. Hennessy drew together researchers to focus on a computer architecture known as RISC (Reduced Instruction Set Computer), a technology that has revolutionized the computer industry by increasing performance while reducing costs. In addition to his role in the basic research, Dr. Hennessy helped transfer this technology to industry. In 1984, he cofounded MIPS Computer Systems, now MIPS Technologies, which designs microprocessors. In recent years, his research has focused on the architecture of high-performance computers.
Dr. Hennessy is a recipient of the 2000 IEEE John von Neumann Medal, the 2000 ASEE Benjamin Garver Lamme Award, the 2001 ACM Eckert-Mauchly Award, the 2001 Seymour Cray Computer Engineering Award, a 2004 NEC C&C Prize for lifetime achievement in computer science and engineering, a 2005 Founders Award from the American Academy of Arts and Sciences and the 2012 IEEE Medal of Honor, IEEE's highest award. He is a member of the National Academy of Engineering and the National Academy of Sciences, and he is a fellow of the American Academy of Arts and Sciences, the Association for Computing Machinery, and the Institute of Electrical and Electronics Engineers.
He has lectured and published widely and is the co-author of two internationally used undergraduate and graduate textbooks on computer architecture design. Dr. Hennessy earned his bachelor’s degree in electrical engineering from Villanova University and his master’s and doctoral degrees in computer science from the State University of New York at Stony Brook. -
Rogelio A. Hernández-López
Assistant Professor of Bioengineering and of Genetics
Current Research and Scholarly InterestsOur group works at the interface of mechanistic, synthetic, and systems biology to understand and program cellular recognition, communication, and organization. We are currently interested in engineering biomedical relevant cellular behaviors for cancer immunotherapy.
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Daniel Herschlag
Professor of Biochemistry and, by courtesy, of Chemical Engineering
Current Research and Scholarly InterestsOur research is aimed at understanding the chemical and physical behavior underlying biological macromolecules and systems, as these behaviors define the capabilities and limitations of biology. Toward this end we study folding and catalysis by RNA, as well as catalysis by protein enzymes.
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Lambertus Hesselink
Professor of Electrical Engineering and, by courtesy of Applied Physics
BioHesselink's research encompasses nano-photonics, ultra high density optical data storage, nonlinear optics, optical super-resolution, materials science, three-dimensional image processing and graphics, and Internet technologies.
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Brian Hie
Assistant Professor of Chemical Engineering
BioI am an Assistant Professor of Chemical Engineering at Stanford University, the Dieter Schwarz Foundation Stanford Data Science Faculty Fellow, and an Innovation Investigator at Arc Institute. I supervise the Laboratory of Evolutionary Design, where we conduct research at the intersection of biology and machine learning.
I was previously a Stanford Science Fellow in the Stanford University School of Medicine and a Visiting Researcher at Meta AI. I completed my Ph.D. at MIT CSAIL and was an undergraduate at Stanford University. -
Lynn Hildemann
Wayne Loel Professor of Sustainability
BioLynn Hildemann's current research areas include the sources and dispersion of airborne particulate matter indoors, and assessment of human exposure to air pollutants.
Prof. Hildemann received BS, MS, and PhD degrees in environmental engineering science from the California Institute of Technology. She is an author on >100 peer-reviewed publications, including two with over 1000 citations each, and another 6 with over 500 citations each. She has been honored with Young Investigator Awards from NSF and ONR, the Kenneth T. Whitby Award from the AAAR (1998), and Stanford's Gores Award for Teaching Excellence (2013); she also was a co-recipient of Atmospheric Environment’s Haagen-Smit Outstanding Paper Award (2001).
She has served on advisory committees for the Bay Area Air Quality Management District and for the California Air Resources Board. She has been an Associate Editor for Environmental Science & Technology, and Aerosol Science and Technology, and has served on the advisory board for the journal Environmental Science & Technology.
At Stanford, Prof. Hildemann has been chair of the Department of Civil & Environmental Engineering, and served as an elected member of the Faculty Senate. She has chaired the School of Engineering Library Committee, the University Committee on Judicial Affairs, and the University Breadth Governance Board. -
Vayu Hill-Maini
Assistant Professor of Bioengineering
Current Research and Scholarly InterestsWe study filamentous fungi, a diverse group of organisms that includes molds and mushrooms and are critical for a sustainable future. These organisms not only serve global roles in nutrient cycling, plant resilience, and agriculture, but have immense biotechnological potential for sustainable foods, medicines, enzymes, and materials. However, our ability to precisely manipulate fungal and metabolism and structure is still in its infancy, preventing both fundamental research and engineering efforts. Our lab integrates approaches from synthetic biology, biochemistry, and gastronomy to characterize and engineer fungi for food and sustainability applications, including creating new delicious, nutritious foods from readily available waste.
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Pamela Hinds
Rodney H. Adams Professor in the School of Engineering, Fortinet Founders Chair of the Department of Management Science and Engineering and Professor of Management Science and Engineering
BioPamela J. Hinds is Rodney H. Adams Professor in the School of Engineering, Professor of Management Science & Engineering, Co-Director of the Center on Work, Technology, and Organization, and on the Director's Council for the Hasso Plattner Institute of Design. She studies the effect of technology on teams, collaboration, and innovation. Pamela has conducted extensive research on the dynamics of cross-boundary work teams, particularly those spanning national borders. She explores issues of culture, language, identity, conflict, and the role of site visits in promoting knowledge sharing and collaboration. She has published extensively on the relationship between national culture and work practices, particularly exploring how work practices or technologies created in one location are understood and employed at distant sites. Pamela also has a body of research on human-robot interaction in the work environment and the dynamics of human-robot teams. Most recently, Pamela has been looking at the changing nature of work in the face of emerging technologies, including the nature of coordination in open innovation, changes in work and organizing resulting from 3D-printing, and the work of data analysts. Her research has appeared in journals such as Organization Science, Research in Organizational Behavior, Academy of Management Journal, Academy of Management Annals, Academy of Management Discoveries, Human-Computer Interaction, Journal of Applied Psychology, Journal of Experimental Psychology: Applied, and Organizational Behavior and Human Decision Processes. Pamela is a Senior Editor of Organization Science. She is also co-editor with Sara Kiesler of the book Distributed Work (MIT Press). Pamela holds a Ph.D. in Organizational Science and Management from Carnegie Mellon University.
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Daniel Ho
William Benjamin Scott & Luna M. Scott Professor of Law, Professor of Political Science, Senior Fellow at the Stanford Institute for Economic Policy Research, at the Stanford Institute for HAI and Professor, by courtesy, of Computer Science
BioDaniel E. Ho is the William Benjamin Scott and Luna M. Scott Professor of Law, Professor of Political Science, Professor of Computer Science (by courtesy), Senior Fellow at Stanford's Institute for Human-Centered Artificial Intelligence, and Senior Fellow at the Stanford Institute for Economic Policy Research at Stanford University. He is a Faculty Fellow at the Center for Advanced Study in the Behavioral Sciences and is Director of the Regulation, Evaluation, and Governance Lab (RegLab). Ho serves on the National Artificial Intelligence Advisory Commission (NAIAC), advising the White House on artificial intelligence, as Senior Advisor on Responsible AI at the U.S. Department of Labor, and as a Public Member of the Administrative Conference of the United States (ACUS). He received his J.D. from Yale Law School and Ph.D. from Harvard University and clerked for Judge Stephen F. Williams on the U.S. Court of Appeals, District of Columbia Circuit.
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Guosong Hong
Assistant Professor of Materials Science and Engineering
Current Research and Scholarly InterestsGuosong Hong is a materials scientist developing materials-enabled photonic technologies for noninvasive imaging and neuromodulation in living systems. His research pioneers in vivo optical transparency and deep-tissue light-matter interactions, guided by fundamental principles in physics and chemistry, to enable new ways to visualize, modulate, and ultimately treat biological function in health and disease.
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Mark Horowitz
Fortinet Founders Chair of the Department of Electrical Engineering, Yahoo! Founders Professor in the School of Engineering and Professor of Computer Science
BioProfessor Horowitz initially focused on designing high-performance digital systems by combining work in computer-aided design tools, circuit design, and system architecture. During this time, he built a number of early RISC microprocessors, and contributed to the design of early distributed shared memory multiprocessors. In 1990, Dr. Horowitz took leave from Stanford to help start Rambus Inc., a company designing high-bandwidth memory interface technology. After returning in 1991, his research group pioneered many innovations in high-speed link design, and many of today’s high speed link designs are designed by his former students or colleagues from Rambus.
In the 2000s he started a long collaboration with Prof. Levoy on computational photography, which included work that led to the Lytro camera, whose photographs could be refocused after they were captured.. Dr. Horowitz's current research interests are quite broad and span using EE and CS analysis methods to problems in neuro and molecular biology to creating new agile design methodologies for analog and digital VLSI circuits. He remains interested in learning new things, and building interdisciplinary teams. -
Roger Howe
William E. Ayer Professor of Electrical Engineering, Emeritus
BioDesign and fabrication of sensors and actuators using micro and nanotechnologies, with applications to information processing and energy conversion.
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KC Huang
LeRa Professor and Professor of Microbiology and Immunology
Current 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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Possu Huang
Assistant Professor of Bioengineering
Current Research and Scholarly InterestsProtein design: molecular engineering, method development and novel therapeutics
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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. -
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). -
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.
