Programs, Centers and Institutes


Showing 41-60 of 157 Results

  • Kay Giesecke

    Kay Giesecke

    Professor of Management Science and Engineering

    Current Research and Scholarly InterestsKay is a financial technologist whose research agenda is driven by significant applied problems in areas such as investment management, risk analytics, lending, and regulation, where data streams are increasingly large-scale and dynamical, and where computational demands are critical. He develops and analyzes statistical machine learning methods to make explainable data-driven decisions in these and other areas and efficient numerical algorithms to address the associated computational issues.

  • Peter Glynn

    Peter Glynn

    Thomas W. Ford Professor in the School of Engineering and Professor, by courtesy, of Electrical Engineering

    Current Research and Scholarly InterestsStochastic modeling; statistics; simulation; finance

  • Ashish Goel

    Ashish Goel

    Stanford W. Ascherman, MD Professor in the School of Engineering and Professor, by courtesy, of Computer Science

    BioAshish Goel is a Professor of Management Science and Engineering, the Fortinet Founders Chair of Management Science and Engineering, and Professor (by courtesy) of Computer Science at Stanford University. He received his PhD in Computer Science from Stanford in 1999, and was an Assistant Professor of Computer Science at the University of Southern California from 1999 to 2002. His research interests lie in the design, analysis, and applications of algorithms.

  • Kenneth Goodson

    Kenneth Goodson

    Vice Provost for Graduate Education and Postdoctoral Affairs, Davies Family Provostial Professor, and Professor, by courtesy, of Materials Science and Engineering

    Current Research and Scholarly InterestsProf. Goodson’s Nanoheat Lab studies heat transfer in electronic nanostructures, microfluidic heat sinks, and packaging, focussing on basic transport physics and practical impact for industry. We work closely with companies on novel cooling and packaging strategies for power devices, portables, ASICs, & data centers. At present, sponsors and collaborators include ARPA-E, the NSF POETS Center, SRC ASCENT, Google, Intel, Toyota, Ford, among others.

  • Catherine Gorle

    Catherine Gorle

    Associate Professor of Civil and Environmental Engineering and, by courtesy, of Mechanical Engineering

    Current Research and Scholarly InterestsGorle's research focuses on the development of predictive flow simulations to support the design of sustainable buildings and cities. Specific topics of interest are the coupling of large- and small-scale models and experiments to quantify uncertainties related to the variability of boundary conditions, the development of uncertainty quantification methods for low-fidelity models using high-fidelity data, and the use of field measurements to validate and improve computational predictions.

  • Leonidas Guibas

    Leonidas Guibas

    Paul Pigott Professor of Engineering and Professor, by courtesy, of Electrical Engineering

    Current Research and Scholarly InterestsGeometric and topological data analysis and machine learning. Algorithms for the joint analysis of collections of images, 3D models, or trajectories. 3D reconstruction.

  • Pat Hanrahan

    Pat Hanrahan

    Canon Professor in the School of Engineering and Professor of Electrical Engineering, Emeritus

    BioProfessor Hanrahan's current research involves rendering algorithms, high performance graphics architectures, and systems support for graphical interaction. He also has worked on raster graphics systems, computer animation and modeling and scientific visualization, in particular, volume rendering.

  • Kari Hanson

    Kari Hanson

    Lecturer

    BioKari is a former technology executive with a passion for entrepreneurship, innovation, business strategy and making the world a better place. Having worked as a coach, investor, advisor, board member and CFO, she enjoys empowering students and entrepreneurs to thrive in life, the classroom and the marketplace.

  • Kentaro Hara

    Kentaro Hara

    Associate Professor of Aeronautics and Astronautics

    BioKen Hara is an Assistant Professor of Aeronautics and Astronautics at Stanford University. He received a Ph.D. in Aerospace Engineering and a Graduate Certificate in Plasma Science and Engineering from the University of Michigan, and B.S. and M.S. in Aeronautics and Astronautics from the University of Tokyo. He was a Visiting Research Physicist at Princeton Plasma Physics Laboratory as a Japan Society for the Promotion of Science Postdoctoral Fellow. Professor Hara’s research interests include electric propulsion, low temperature partially ionized plasmas, plasma physics (plasma-wall interactions, plasma-wave interactions, kinetic and fluid instabilities), data assimilation, rarefied gas flows, and computational fluid and plasma dynamics. He is a recipient of the Air Force Young Investigator Program Award, the Department of Energy Early Career Award, and the Office of Naval Research Young Investigator Program Award.

  • Jerry Harris

    Jerry Harris

    The Cecil H. and Ida M. Green Professor in Geophysics, Emeritus

    Current Research and Scholarly InterestsBiographical Information
    Jerry M. Harris is the Cecil and Ida Green Professor of Geophysics and Associate Dean for the Office of Multicultural Affairs. He joined Stanford in 1988 following 11 years in private industry. He served five years as Geophysics department chair, was the Founding Director of the Stanford Center for Computational Earth and Environmental Science (CEES), and co-launched Stanford's Global Climate and Energy Project (GCEP). Graduates from Jerry's research group, the Stanford Wave Physics Lab, work in private industry, government labs, and universities.

    Research
    My research interests address the physics and dynamics of seismic and electromagnetic waves in complex media. My approach to these problems includes theory, numerical simulation, laboratory methods, and the analysis of field data. My group, collectively known as the Stanford Wave Physics Laboratory, specializes on high frequency borehole methods and low frequency labratory methods. We apply this research to the characterization and monitoring of petroleum and CO2 storage reservoirs.

    Teaching
    I teach courses on waves phenomena for borehole geophysics and tomography. I recently introduced and co-taught a new course on computational geosciences.

    Professional Activities
    I was the First Vice President of the Society of Exploration Geophysicists in 2003-04, and have served as the Distinguished Lecturer for the SPE, SEG, and AAPG.

  • Seamus Harte

    Seamus Harte

    Lecturer

    BioSeamus Yu Harte is the the Head of Learning Experience Design for the Electives Program at the Hasso Plattner Institute of Design (aka the d.school) and the founder of Only People, a learning experience design studio based inspired by the art & activism of John Lennon & Yoko Ono. From Yoko Ono to David Kelley, Seamus has had the opportunity to teach and learn with world-class creatives. He holds a BS in Sound Design from SAE and a MFA in Documentary Film + Video from Stanford University where he also received Fellowships from The Stanford Institute for Creativity and the Arts (SiCA) and The San Francisco Foundation.

  • Trevor Hastie

    Trevor Hastie

    John A. Overdeck Professor, Professor of Statistics and of Biomedical Data Sciences, Emeritus

    Current Research and Scholarly InterestsFlexible statistical modeling for prediction and representation of data arising in biology, medicine, science or industry. Statistical and machine learning tools have gained importance over the years. Part of Hastie's work has been to bridge the gap between traditional statistical methodology and the achievements made in machine learning.

  • Mark Horowitz

    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.

  • Gianluca Iaccarino

    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.

  • Doug James

    Doug James

    LeRa Professor and Professor, by courtesy, of Music

    Current Research and Scholarly InterestsComputer graphics & animation, physics-based sound synthesis, computational physics, haptics, reduced-order modeling

  • Antony Jameson

    Antony Jameson

    Professor (Research) of Aeronautics and Astronautics, Emeritus

    BioProfessor Jameson's research focuses on the numerical solution of partial differential equations with applications to subsonic, transonic, and supersonic flow past complex configurations, as well as aerodynamic shape optimization.

  • Ramesh Johari

    Ramesh Johari

    Professor of Management Science and Engineering and, by courtesy, of Electrical Engineering

    BioJohari is broadly interested in the design, economic analysis, and operation of online platforms, as well as statistical and machine learning techniques used by these platforms (such as search, recommendation, matching, and pricing algorithms).

  • Joseph Kahn

    Joseph Kahn

    Harald Trap Friis Professor

    BioJoseph M. Kahn is a Professor of Electrical Engineering at Stanford University. His research addresses communication and imaging through optical fibers, including modulation, detection, signal processing and spatial multiplexing. He received A.B. and Ph.D. degrees in Physics from U.C. Berkeley in 1981 and 1986. From 1987-1990, he was at AT&T Bell Laboratories, Crawford Hill Laboratory, in Holmdel, NJ. He was on the Electrical Engineering faculty at U.C. Berkeley from 1990-2003. In 2000, he co-founded StrataLight Communications, which was acquired by Opnext, Inc. in 2009. He received the National Science Foundation Presidential Young Investigator Award in 1991 and is a Life Fellow of the IEEE.

  • Zerina Kapetanovic

    Zerina Kapetanovic

    Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science and of Geophysics

    BioZerina Kapetanovic is an Assistant Professor in the Department of Electrical Engineering at Stanford University working in the area of low-power wireless communication, sensing, and Internet of Things (IoT) systems. Prior to starting at Stanford, Kapetanovic was a postdoctoral researcher at Microsoft Research in the Networking Research Group and Research for Industry Group.

    Kapetanovic's research has been recognized by the Yang Research Award, the Distinguished Dissertation Award from the University of Washington. She also received the Microsoft Research Distinguished Dissertation Grant and was selected to attend the 2020 UC Berkeley Rising Stars in EECS Workshop. Kapetanovic completed her PhD in Electrical Engineering from the University of Washington in 2022.

  • Monroe Kennedy III

    Monroe Kennedy III

    Assistant Professor of Mechanical Engineering and, by courtesy, of Computer Science

    Current Research and Scholarly InterestsMy research focus is to develop technology that improves everyday life by anticipating and acting on the needs of human counterparts. My research can be divided into the following sub-categories: robotic assistants, connected devices and intelligent wearables. My Assistive Robotics and Manipulation lab focuses heavily on both the analytical and experimental components of assistive technology design.