School of Engineering


Showing 1-20 of 33 Results

  • Keiko Waki

    Keiko Waki

    Visiting Associate Professor, Materials Science and Engineering

    BioKeiko Waki, as an associate professor of Tokyo Institute of Technology (TIT) in Japan, has worked extensively with her group on controlling the defects of carbon nanotubes and nano materials for integrating new materials into emerging technologies in the field of fuel cells and solar cells. Now, she is working with Prof. Dauskardt's group in Stanford Materials Science and Engineering on the plasma-assisted film processing for various device technologies as a visiting associate professor.

  • Ken Waldron

    Ken Waldron

    Professor (Research) of Mechanical Engineering, Emeritus

    BioKenneth J. Waldron is Professor of Mechanical and Mechatronic Engineering at UTS. He is also Professor Emeritus from the Design Group in the Department of Mechanical Engineering of Stanford University. He holds bachelors and masters degrees from the University of Sydney, and PhD from Stanford. He works in machine design, and design methodology with a particular focus on robotic and mechatronic systems.

  • Todd Walter

    Todd Walter

    Professor (Research) of Aeronautics and Astronautics

    Current Research and Scholarly InterestsHigh integrity satellite navigation for guiding aircraft, including satellite based augmentation systems (SBAS) and advanced receiver autonomous integrity monitoring (ARAIM).

  • Brian A. Wandell

    Brian A. Wandell

    Isaac and Madeline Stein Family Professor and Professor, by courtesy, of Electrical Engineering, of Ophthalmology and at the Graduate School of Education

    Current Research and Scholarly InterestsModels and measures of the human visual system. The brain pathways essential for reading development. Diffusion tensor imaging, functional magnetic resonance imaging and computational modeling of visual perception and brain processes. Image systems simulations of optics and sensors and image processing. Data and computation management for reproducible research.

  • Adam Wang

    Adam Wang

    Assistant Professor of Radiology and, by courtesy, of Electrical Engineering

    BioMy research group develops technologies for advanced x-ray and CT imaging, including artificial intelligence for CT acquisition, reconstruction, and image processing; spectral imaging, including photon counting CT (PCCT) and dual-layer flat-panel detectors; novel system and detector designs; and their applications in diagnostic imaging and image-guided procedures. I am also the Director of the Photon Counting CT Lab, Zeego Lab, and Tabletop X-Ray Lab.

    I completed my PhD in Electrical Engineering at Stanford, developing strategies for maximizing the information content of dual energy CT and photon counting detectors. I then pursued a postdoctoral fellowship at Johns Hopkins in the I-STAR Lab, developing reconstruction and registration methods for x-ray based image-guided surgery. I was then a Senior Scientist at Varian Medical Systems, developing x-ray/CT methods for image-guided radiation therapy, before returning to Stanford in 2018, where I now lead a comprehensive research program in advanced x-ray and CT imaging systems and methods, with funding from NIH, DOD, DOE, and industry partners.

  • Bo Wang

    Bo Wang

    Assistant Professor of Bioengineering and, by courtesy, Developmental Biology

    Current Research and Scholarly InterestsResearch interests:
    (1) Systems biology of whole-body regeneration
    (2) Cell type evolution through the lens of single-cell multiomic sequencing analysis
    (3) Quantitative biology of brain regeneration
    (4) Regeneration of animal-algal photosymbiotic systems

  • Ge Wang

    Ge Wang

    Associate Professor of Music, Senior Fellow at the Stanford Institute for HAI and Associate Professor, by courtesy, of Computer Science

    BioGe Wang is an Associate Professor at Stanford University in the Center for Computer Research in Music and Acoustics (CCRMA). He specializes in the art of design and computer music — researching programming languages and interactive software design for music, interaction design, mobile music, laptop orchestras, expressive design of virtual reality, aesthetics of music technology design, and education at the intersection of computer science and music. Ge is the author of the ChucK music programming language, the founding director of the Stanford Laptop Orchestra (SLOrk). Ge is also the Co-founder of Smule (reaching over 200 million users), and the designer of the iPhone's Ocarina and Magic Piano. Ge is a 2016 Guggenheim Fellow, and the author of ARTFUL DESIGN: TECHNOLOGY IN SEARCH OF THE SUBLIME—a book on design and technology, art and life‚ published by Stanford University Press in 2018 (see https://artful.design/)

  • Hai Wang

    Hai Wang

    Professor of Mechanical Engineering

    BioHai Wang is Professor of Mechanical Engineering at Stanford University. His research interests are high-speed propulsion, combustion, and renewable energy conversion. His current research topics include combustion chemistry of conventional and renewable fuels, detonation, high-speed propulsion, quantum-chemistry guided battery materials design, transport theories. He is the author and coauthor of recent papers in scholarly journals, including "Stable sodium-sulfur electrochemistry enabled by phosphorus-based complexation" in PNAS, “Geometric modeling and analysis of detonation cellular stability" in Proceedings of the Combustion Institute, "Flame-formed carbon nanoparticles exhibit quantum dot behaviors" in PNAS, "Nanoparticles in dilute gases: Equivalence of momentum accommodation and surface adsorption" in Physical Review E, "A Physics-based approach to modeling real-fuel combustion chemistry. I. Evidence from experiments, and thermodynamic, chemical kinetic and statistical considerations" in Combustion and Flame, and “Formation of nascent soot and other condensed-phase materials in flames” in Proceedings of the Combustion Institute. He is currently the Editor-in-Chief of Progress in Energy and Combustion Science, a highly influential energy journal published by Elsevier with an impact factor of 35.3 (2021), and the Vice President (President-Elect) of the Combustion Institute.

  • Paul  J. Wang, MD

    Paul J. Wang, MD

    John R. and Ai Giak L. Singleton Director, Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Bioengineering

    Current Research and Scholarly InterestsDr. Wang's research centers on the development of innovative approaches to the treatment of arrhythmias, including more effective catheter ablation techniques, more reliable implantable devices, and less invasive treatments. Dr. Wang's clinical research interests include atrial fibrillation, ventricular tachycardia, syncope, and hypertrophic cardiomyopathy. Dr. Wang is committed to addressing disparities in care and is actively involved in increasing diversity in clinical trials.

  • Shan X. Wang

    Shan X. Wang

    Leland T. Edwards Professor in the School of Engineering and Professor of Electrical Engineering and, by courtesy, of Radiology (Molecular Imaging Program at Stanford)

    Current Research and Scholarly InterestsShan Wang was named the Leland T. Edwards Professor in the School of Engineering in 2018. He directs the Center for Magnetic Nanotechnology and is a leading expert in biosensors, information storage and spintronics. His research and inventions span across a variety of areas including magnetic biochips, in vitro diagnostics, cancer biomarkers, magnetic nanoparticles, magnetic sensors, magnetoresistive random access memory, and magnetic integrated inductors.

  • Robert Waymouth

    Robert Waymouth

    Robert Eckles Swain Professor of Chemistry and Professor, by courtesy, of Chemical Engineering

    BioRobert Eckles Swain Professor in Chemistry Robert Waymouth investigates new catalytic strategies to create useful new molecules, including bioactive polymers, synthetic fuels, and sustainable plastics. In one such breakthrough, Professor Waymouth and Professor Wender developed a new class of gene delivery agents.

    Born in 1960 in Warner Robins, Georgia, Robert Waymouth studied chemistry and mathematics at Washington and Lee University in Lexington, Virginia (B.S. and B.A., respectively, both summa cum laude, 1982). He developed an interest in synthetic and mechanistic organometallic chemistry during his doctoral studies in chemistry at the California Institute of Technology under Professor R.H. Grubbs (Ph.D., 1987). His postdoctoral research with Professor Piero Pino at the Institut fur Polymere, ETH Zurich, Switzerland, focused on catalytic hydrogenation with chiral metallocene catalysts. He joined the Stanford University faculty as assistant professor in 1988, becoming full professor in 1997 and in 2000 the Robert Eckles Swain Professor of Chemistry.

    Today, the Waymouth Group applies mechanistic principles to develop new concepts in catalysis, with particular focus on the development of organometallic and organic catalysts for the synthesis of complex macromolecular architectures. In organometallic catalysis, the group devised a highly selective alcohol oxidation catalyst that selectively oxidizes unprotected polyols and carbohydrates to alpha-hyroxyketones. In collaboration with Dr. James Hedrick of IBM, we have developed a platform of highly active organic catalysts and continuous flow reactors that provide access to polymer architectures that are difficult to access by conventional approaches.

    The Waymouth group has devised selective organocatalytic strategies for the synthesis of functional degradable polymers and oligomers that function as "molecular transporters" to deliver genes, drugs and probes into cells and live animals. These advances led to the joint discovery with the Wender group of a general, safe, and remarkably effective concept for RNA delivery based on a new class of synthetic cationic materials, Charge-Altering Releasable Transporters (CARTs). This technology has been shown to be effective for mRNA based cancer vaccines.

  • Itschak Weissman

    Itschak Weissman

    Professor of Electrical Engineering

    BioTsachy's research focuses on Information Theory, Data Compression and Communications, Statistical Signal Processing, Machine Learning, the interplay between them, and their applications, with recent focus on applications to genomic data compression and processing. He is inventor of several patents and involved in several companies as member of the technical board. IEEE fellow, he serves on the board of governors of the information theory society as well as the editorial boards of the Transactions on Information Theory and Foundations and Trends in Communications and Information Theory. He is founding Director of the Stanford Compression Forum.

  • Gordon Wetzstein

    Gordon Wetzstein

    Associate Professor of Electrical Engineering and, by courtesy, of Computer Science

    BioGordon Wetzstein is an Associate Professor of Electrical Engineering and, by courtesy, of Computer Science at Stanford University. He is the leader of the Stanford Computational Imaging Lab and a faculty co-director of the Stanford Center for Image Systems Engineering. At the intersection of computer graphics and vision, artificial intelligence, computational optics, and applied vision science, Prof. Wetzstein's research has a wide range of applications in next-generation imaging, wearable computing, and neural rendering systems. Prof. Wetzstein is a Fellow of Optica and the recipient of numerous awards, including an NSF CAREER Award, an Alfred P. Sloan Fellowship, an ACM SIGGRAPH Significant New Researcher Award, a Presidential Early Career Award for Scientists and Engineers (PECASE), an SPIE Early Career Achievement Award, an Electronic Imaging Scientist of the Year Award, an Alain Fournier Ph.D. Dissertation Award as well as many Best Paper and Demo Awards.

  • John Weyant

    John Weyant

    Professor (Research) of Management Science and Engineering, of Energy Science Engineering and Senior Fellow at the Precourt Institute for Energy

    BioJohn P. Weyant is Professor of Management Science and Engineering and Director of the Energy Modeling Forum (EMF) at Stanford University. He is also a Senior Fellow of the Precourt Institute for Energy and an an affiliated faculty member of the Stanford School of Earth, Environment and Energy Sciences, the Woods Institute for the Environment, and the Freeman-Spogli Institute for International Studies at Stanford. His current research focuses on analysis of multi-sector, multi-region coupled human and earth systems dynamics, global change systems analysis, energy technology assessment, and models for strategic planning.

    Weyant was a founder and serves as chairman of the Integrated Assessment Modeling Consortium (IAMC), a seventeen-year old collaboration among over 60 member institutions from around the world. He has been an active adviser to the United Nations, the European Commission, U.S.Department of Energy, the U.S. Department of State, and the Environmental Protection Agency. In California, he has been and adviser to the California Air Resources, the California Energy Commission and the California Public Utilities Commission..

    Weyant was awarded the US Association for Energy Economics’ 2008 Adelmann-Frankel award for unique and innovative contributions to the field of energy economics and the award for outstanding lifetime contributions to the Profession for 2017 from the International Association for Energy Economics, and a Life Time Achievement award from the Integrated Assessment Modeling Consortium in 2018. Weyant was honored in 2007 as a major contributor to the Nobel Peace prize awarded to the Intergovernmental Panel on Climate Change and in 2008 by Chairman Mary Nichols for contributions to the to the California Air Resources Board's Economic and Technology Advancement Advisory Committee on AB 32.

    Fields of Specialization:
    Energy/Environmental Policy Analysis, Strategic Planning

    Interests:
    Overall goal is to accelerate the use of systems models at state, country, and global scales, aiming to provide the best available information and insights to government and private-sector decision makers. Specific areas include energy, climate change, and sustainable development policy, including emerging technologies and market design alternatives. Draws on concepts and techniques from science and engineering fundamentals (e.g., thermodynamics, fluid mechanics, materials science, and electrical power systems), operations research, economics, finance, and decision theory.

  • Jennifer Widom

    Jennifer Widom

    Frederick Emmons Terman Dean of the School of Engineering, Fletcher Jones Professor of Computer Science and Professor of Electrical Engineering

    BioJennifer Widom is the Frederick Emmons Terman Dean of the School of Engineering and the Fletcher Jones Professor in Computer Science and Electrical Engineering at Stanford University. She served as Computer Science Department Chair from 2009-2014 and School of Engineering Senior Associate Dean from 2014-2016. Jennifer received her Bachelor's degree from the Indiana University Jacobs School of Music in 1982 and her Computer Science Ph.D. from Cornell University in 1987. She was a Research Staff Member at the IBM Almaden Research Center before joining the Stanford faculty in 1993. Her research interests span many aspects of nontraditional data management. She is an ACM Fellow and a member of the National Academy of Engineering and the American Academy of Arts & Sciences; she received a Guggenheim Fellowship in 2000, the ACM SIGMOD Edgar F. Codd Innovations Award in 2007, the ACM-W Athena Lecturer Award in 2015, and the EPFL-WISH Foundation Erna Hamburger Prize in 2018.

  • Bernard Widrow

    Bernard Widrow

    Professor of Electrical Engineering, Emeritus

    Current Research and Scholarly InterestsProf. Widrow's research focuses on adaptive signal processing, adaptive control systems, adaptive neural networks, human memory, and human-like memory for computers. Applications include signal processing, prediction, noise cancelling, adaptive arrays, control systems, and pattern recognition. Recent work is about human learning at the synaptic level.