School of Engineering
Showing 41-50 of 89 Results
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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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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.
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Sanjiva Lele
Edward C. Wells Professor of the School of Engineering and Professor of Mechanical Engineering
BioProfessor Lele's research combines numerical simulations with modeling to study fundamental unsteady flow phemonema, turbulence, flow instabilities, and flow-generated sound. Recent projects include shock-turbulent boundary layer interactions, supersonic jet noise, wind turbine aeroacoustics, wind farm modeling, aircraft contrails, multi-material mixing and multi-phase flows involving cavitation. He is also interested in developing high-fidelity computational methods for engineering applications.
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Marc Levenston
Associate Professor of Mechanical Engineering and, by courtesy, of Radiology (Radiological Sciences Laboratory)
Current Research and Scholarly InterestsMy lab's research involves the function, degeneration and repair of musculoskeletal soft tissues, with a focus on meniscal fibrocartilage and articular cartilage. We are particularly interested in the complex interactions between biophysical and biochemical cues in controlling cell behavior, the roles of these interactions in degenerative conditions such as osteoarthritis, and development of tissue engineered 3D model systems for studying physical influences on primary and progenitor cells.
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Adrian Lew
Professor of Mechanical Engineering
BioProf. Lew's interests lie in the broad area of computational solid mechanics. He is concerned with the fundamental design and mathematical analysis of material models and numerical algorithms.
Currently the group is focused on the design of algorithms to simulate hydraulic fracturing. To this end we work on algorithms for time-integration embedded or immersed boundary methods.
