School of Engineering


Showing 21-40 of 104 Results

  • Scott L. Delp, Ph.D.

    Scott L. Delp, Ph.D.

    Director, Wu Tsai Human Performance Alliance at Stanford, James H. Clark Professor in the School of Engineering, Professor of Bioengineering, of Mechanical Engineering and, by courtesy, of Orthopaedic Surgery

    Current Research and Scholarly InterestsExperimental and computational approaches to study human movement. Development of biomechanical models to analyze muscle function, study movement abnormalities, design medical products, and guide surgery. Imaging and health technology development. Discovering the principles of peak performance to advance human health. Human performance research. Wearable technologies, video motion capture, and machine learning to enable large-scale analysis.

  • Leora Dresselhaus-Marais

    Leora Dresselhaus-Marais

    Assistant Professor of Materials Science and Engineering and of Photon Science

    Current Research and Scholarly InterestsMy group develops new methods to update old processes in metals manufacturing

  • John Eaton

    John Eaton

    Charles Lee Powell Foundation Professor in the School of Engineering, Emeritus

    BioEaton uses experiments and computational simulations to study the flow and heat transfer in complex turbulent flows, especially those relevant to turbomachinery, particle-laden flows, and separated flows, and to develop new techniques for precise control of gas and surface temperature during manufacturing processes.

  • Dr Jonathan Antonio Edelman

    Dr Jonathan Antonio Edelman

    Lecturer

    BioMy professional and academic experience includes working with, facilitating and teaching teams from the around the globe in a wide spectrum of domains including Product Service System Design, User Experience, Interaction Design, Business Innovation, Digital Transformation and Digital Health Design.

    I have a PhD in Mechanical Engineering (New Product Development and Design Theory & Methodology) from Stanford University, an MFA in Art and Design from Stanford University, a BA in Historical Mathematics and Philosophy from St John's College, Annapolis, and was a GlaxoSmithKline Fellow at the Stanford Graduate School of Business, Summer Institute for Entrepreneurship.I am founder and director of the Center for Advanced Design Studies. My work focuses on understanding and creating innovative cultures that make impact in diverse cultural settings.

    As a deep generalist, my interests are fundamentally transdisciplinary: I study how change is made in diverse fields and distill these insights into novel formal methods that can be brought to a wide range of fields to create new phenomena that enable entrepreneurs and intrapreneurs to bring their best to make positive impact in the world.

    My expertise is in creating a bridge between cutting edge design theory and day-to-day practice by providing design teams with tested conceptual frameworks and physical tools for ideation, prototyping and empirical testing. Polymath, Iconoclast, Classicist and Lover of Pop Culture, I engage and inspire diverse communities to think outside the box, to reach and deliver far beyond expectations.

  • Christopher Edwards

    Christopher Edwards

    Professor of Mechanical Engineering, Emeritus

    BioThe Edwards research group is focused on fundamental research for advanced energy technologies. The group performs theoretical and experimental studies of energy transformations such that the conversion process can be made cleaner, more efficient, and more controllable than has been possible with traditional technologies. Applications include advanced transportation engines (piston and turbine) and advanced electric power generation with carbon mitigation.

  • Matthew R. Edwards

    Matthew R. Edwards

    Assistant Professor of Mechanical Engineering

    BioMatthew Edwards is an Assistant Professor of Mechanical Engineering. His research applies high-power lasers to the development of optical diagnostics for fluids and plasmas, the study of intense light-matter interactions, and the construction of compact light and particle sources, combining adaptive high-repetition-rate experiments and large-scale simulations to explore new regimes in fluid mechanics, thermodynamics, materials science, and plasma physics.

    Matthew received BSE, MA, and PhD degrees in Mechanical and Aerospace Engineering from Princeton University. He was then a Lawrence Fellow in the National Ignition Facility and Photon Science Directorate at Lawrence Livermore National Laboratory.

  • Vivian Feig

    Vivian Feig

    Assistant Professor of Mechanical Engineering

    BioDr. Vivian Feig is an incoming Assistant Professor in the Mechanical Engineering department, beginning March 2024. The Feig lab aims to develop low-cost, noninvasive, and widely-accessible medical technologies that integrate seamlessly with the human body. We accomplish this by developing functional materials and devices with dynamic mechanical properties, leveraging chemistry and physics insights to engineer novel systems at multiple length scales. In pursuit of our goals, we maintain a strong emphasis on integrity and diversity, while nurturing the intellectual curiosity and holistic growth of our team members as researchers, communicators, and leaders.

  • Sean Follmer

    Sean Follmer

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

    Current Research and Scholarly InterestsHuman Computer Interaction, Haptics, Robotics, Human Centered Design

  • J. Christian Gerdes

    J. Christian Gerdes

    Professor of Mechanical Engineering, Emeritus

    BioChris Gerdes is a Professor of Mechanical Engineering at Stanford University and Co-Director of the Center for Automotive Research at Stanford (CARS). His laboratory studies how cars move, how humans drive cars and how to design future cars that work cooperatively with the driver or drive themselves. When not teaching on campus, he can often be found at the racetrack with students, trying out their latest prototypes for the future. Vehicles in the lab include X1, an entirely student-built test vehicle; Niki, a Volkswagen GTI capable of turning a competitive lap time around the track without a human driver; and Marty, our electrified, automated, drifting DeLorean. Chris' interests in vehicle safety extend to ethics and government policy, having helped to develop the US Federal Automated Vehicle Policy while serving as the first Chief Innovation Officer of the US Department of Transportation.

  • Siegfried Glenzer

    Siegfried Glenzer

    Professor of Photon Science and, by courtesy, of Mechanical Engineering
    On Leave from 09/15/2023 To 09/14/2024

    Current Research and Scholarly InterestsPlease see our website for detailed information: https://heds.slac.stanford.edu

  • Kenneth Goodson

    Kenneth Goodson

    Senior Associate Dean for Faculty and Academic 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.

  • Wendy Gu

    Wendy Gu

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

    BioThe Gu Group studies the mechanical behavior of nanomaterials. We work at the intersection of solid mechanics, materials science and nano-chemistry. We research the unique properties of nanoscale metals, ceramics and nano-architected composites in order to design strong, tough and lightweight structural materials, materials for extreme environments, and mechanically-actuated sensors. Our experimental tools include nanoindentation, electron microscopy, and colloidal synthesis.

  • Ronald Hanson

    Ronald Hanson

    Clarence J. and Patricia R. Woodard Professor of Mechanical Engineering

    Current Research and Scholarly InterestsProfessor Hanson has been an international leader in the development of laser-based diagnostic methods for combustion and propulsion, and in the development of modern shock tube methods for accurate determination of chemical reaction rate parameters needed for modeling combustion and propulsion systems. He and his students have made several pioneering contributions that have impacted the pace of propulsion research and development worldwide.

  • Gianluca Iaccarino

    Gianluca Iaccarino

    Professor of Mechanical Engineering

    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.