School of Engineering
Showing 201-300 of 602 Results
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Aoife Henry
Postdoctoral Scholar, Mechanical Engineering
BioAoife Henry earned her doctorate in Electrical, Computer & Energy Engineering at the University of Colorado, Boulder, funded by and in collaboration with the wind energy control systems team at the National Renewable Energy Laboratory (NREL). During her doctorate, she applied her joint specializations of machine learning and control systems to implement and validate forecast-enabled wind energy controllers using state-of-the-art time-series forecasting models. She is now working to commercialize and scale this technology under the wing of the Stanford Sustainability Accelerator Fellowship at the Doerr School of Sustainability.
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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.
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Marie Imad
Masters Student in Mechanical Engineering, admitted Autumn 2025
Grader EE 120/220, Electrical Engineering - Student ServicesBioMaster’s degree, Ecole Nationale Supérieure d'Arts et Métiers (ENSAM), Mechanical Engineering (2026)
Bachelor’s degree, Ecole Nationale Supérieure d'Arts et Métiers (ENSAM), Mechanical Engineering (2024)
Preparatory class, Lycée Chaptal (Paris), Mathematics / Physics / Chemistry (2023) -
Thomas Jaroslawski
Postdoctoral Scholar, Mechanical Engineering
BioThomas (Tomek) Jaroslawski is a postdoctoral researcher at the Center of Turbulence Research (CTR). His research interests lie in experimental fluid mechanics, applied to a wide range of applications. He works with Professor Beverley McKeon on investigating rough-walled turbulent boundary layer flows, and also with Professor Juan Santiago on studying the flow physics in various microfluidic applications.
Interested in consultations or collaborations? Let's connect: https://www.linkedin.com/in/tomek-jaroslawski-b0016714b/ -
Steve Jones
Director, High Performance Computing Center, and Research Scientist, Mechanical Engineering - Flow Physics and Computation
Current Role at StanfordDirector, High Performance Computing Center, and Research Scientist, Flow Physics and Computational Engineering
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Barbara A. Karanian Ph.D. School of Engineering, previously Visiting Professor
Lecturer, Mechanical Engineering - Design
Lecturer, d.schoolCurrent Role at StanfordLecturer in Mechanical Engineering Design
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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.
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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.
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Makrand Khanwale
Physical Science Research Scientist, Mechanical Engineering
BioI received my PhD from Iowa State University co-majoring in Mechanical engineering and Applied Mathematics. I was co-advised by Dr. Baskar Ganapathysubramanian and Dr. James Rossmanith. For my dissertation I worked on development and analysis of numerical schemes for high fidelity simulations of multiphase flows. Specifically I developed energy stable numerical methods to simulate two-phase flows using Cahn-Hilliard Navier-Stokes equations. I also have experience in development of tools to analyse and understand complex physical processes like multi-phase flows and turbulence. Before joining Iowa State for my graduate work, I had a brief stint as a research associate in Dr. Krishnaswamy Nandakumar‘s group in Louisiana State University (LSU). At LSU I worked on developing theoretical models for energy cascades in multi-phase flows.
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Aeneas Koosis
Postdoctoral Scholar, Mechanical Engineering
BioAeneas Oliver Koosis is a Postdoctoral Researcher in the Department of Mechanical Engineering at Stanford University. He holds a PhD in Nutrition and Food Science fHis current work at the Living Matter Lab integrates mechanical engineering principles with food science to explore the physical properties of biological materials.
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Naohiko Kohtake
Visiting Professor, Mechanical Engineering
BioNaohiko Kohtake is a Visiting Professor at the Center for Design Research, Stanford University, and Professor at the Graduate School of System Design and Management, Keio University in Japan. His research interests lie in space systems engineering, intelligent systems, and the integration of design thinking and systems engineering for innovative social and space services. He is currently conducting research at Stanford University on enhancing data-driven decision-making systems through space-scale Internet of Things, which involves satellites, drones, ground-based sensors, and robots.
He began his career at the Japan Aerospace Exploration Agency (JAXA), where he worked on the H-IIA launch vehicle, onboard software for spacecraft, and international projects related to the International Space Station with European Space Agency (ESA) and NASA. He later served as a visiting researcher at the ESA. Since joining Keio University in 2009, he has led research on space service innovation, systems approaches to societal challenges, and education for multigenerational co-creation. He has served as the primary academic advisor for 13 doctoral degree recipients and 73 master’s degree recipients from Japan as well as other countries in Asia, Africa, and Europe. He concurrently held the position of Principal at Keio Yokohama Elementary School. -
Ellen Kuhl
Catherine Holman Johnson Director of Stanford Bio-X, Walter B Reinhold Professor in the School of Engineering, Professor of Mechanical Engineering and, by courtesy, of Bioengineering
Current Research and Scholarly Interestscomputaitonal simulation of brain development, cortical folding, computational simulation of cardiac disease, heart failure, left ventricular remodeling, electrophysiology, excitation-contraction coupling, computer-guided surgical planning, patient-specific simulation
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Jiewen Lai
Visiting Assistant Professor, Mechanical Engineering
BioJiewen (Sam) Lai is a Visiting Assistant Professor in the Department of Mechanical Engineering and the Center for Design Research at Stanford University, where he works with the Biomimetics and Dexterous Manipulation Lab. He is also a Research Assistant Professor in the Department of Electronic Engineering at The Chinese University of Hong Kong (CUHK). He earned his PhD in Mechanical Engineering from The Hong Kong Polytechnic University in 2022 and completed his postdoctoral training at CUHK in 2023.
Sam works on soft and bioinspired robotic systems, focusing on compliant mechanisms, modeling, mechatronics, sensorimotor control, and robophysical intelligence for biomedical applications. His work has been published in various venues, including Nature Rev. Electr. Eng., Nature Commun., IJRR, T-MECH, RA-L, and ICRA, among others. He has served as an Associate Editor for ICRA since 2023. -
Jeseung Lee
Postdoctoral Scholar, Mechanical Engineering
BioJeseung Lee is a Postdoctoral Scholar at Stanford University, United States. His research aims to embed physical intelligence and advanced functionality into mechanical systems through programmable materials and structures. He earned his B.S. (summa cum laude) and Ph.D. (valedictorian) in Mechanical Engineering from Seoul National University, South Korea.
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Larry John Leifer
Professor of Mechanical Engineering, Emeritus
Current Research and Scholarly InterestsOur "designXlab" at the Stanford Center for Design Research (CDR) has long (30+ years) been focused on Engineering Design Team dynamics at global collaboration scale working with corporate partners in my graduate course ME310ABC. In our most recent studies we have added Neuroscience visualization of brain activity using fMRI and fNIRS. In doing so we have launched "NeuroDesign" as a professional discipline.
