School of Engineering
Showing 11-20 of 45 Results
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Jeseung Lee
Postdoctoral Scholar, Mechanical Engineering
BioJeseung Lee is a postdoctoral scholar of mechanical engineering at Stanford University. His research focuses on developing intelligent 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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Sangjoon Lee
Postdoctoral Scholar, Mechanical Engineering
BioSangjoon "Joon" Lee is a postdoctoral fellow at the Center for Turbulence Research (CTR). He earned his Ph.D. in Mechanical Engineering with a designated emphasis in Computational and Data Science and Engineering from UC Berkeley, under the direction of Professor Philip S. Marcus. His expertise is grounded in Fluid Mechanics and Computational Science, covering areas such as Computational Fluid Dynamics (CFD), vortex/turbulence physics and instabilities, numerical algorithms, and data-driven hydro-/aerodynamic design optimization.
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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.
