School of Engineering
Showing 21-40 of 89 Results
-
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
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
Assistant Professor of Mechanical Engineering and, by courtesy, of Materials Science and Engineering
BioThe 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
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
Professor of Mechanical Engineering, Emeritus
BioChris Gerdes is a Professor Emeritus of Mechanical Engineering at Stanford University. 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. Vehicles in the lab include X1, a student-built electric, steer-by-wire test vehicle; Takumi, a modified Toyota Supra capable of autonomous drifting in tandem with another car; and Marty, the 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
Professor of Photon Science and, by courtesy, of Mechanical Engineering
Current Research and Scholarly InterestsPlease see our website for detailed information: https://heds.slac.stanford.edu
-
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
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
Associate Professor of Mechanical Engineering and, by courtesy, of Materials Science and Engineering
BioThe Gu Group studies the mechanical behavior and advanced fabrication of metals and ceramics. Current areas of research include the mechanics of solid-state battery materials, soft magnetic alloys and composites, and structural alloys in extreme environments.
-
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
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. -
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.
-
David Kelley
Donald W. Whittier Professor of Mechanical Engineering
BioDavid Kelley's work is dedicated to helping people gain confidence in their creative abilities. He employs a project based methodology called Design Thinking within both the Product Design Program and the Hasso Plattner Institute of Design.
Design Thinking is based on building empathy for user needs, developing solutions with iterative prototyping, and inspiring ideas for the future through storytelling.
The Product Design program emphasizes the blending of engineering innovation, human values, and manufacturing concerns into a single curriculum. Kelley teaches engineering design methodology, the techniques of quick prototyping to prove feasibility, and design through understanding of user needs. -
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.
-
Thomas Kenny
Senior Associate Dean for Education and Student Affairs and Richard W. Weiland Professor in the School of Engineering
BioKenny's group is researching fundamental issues and applications of micromechanical structures. These devices are usually fabricated from silicon wafers using integrated circuit fabrication tools. Using these techniques, the group builds sensitive accelerometers, infrared detectors, and force-sensing cantilevers. This research has many applications, including integrated packaging, inertial navigation, fundamental force measurements, experiments on bio-molecules, device cooling, bio-analytical instruments, and small robots. Because this research field is multidisciplinary in nature, work in this group is characterized by strong collaborations with other departments, as well as with local industry.
