Stanford University
Showing 51-60 of 211 Results
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Saman Farhangdoust
Postdoctoral Scholar, Aeronautics and Astronautics
BioDr. Saman Farhangdoust is pursuing the goal of using his interdisciplinary knowledge to advance the Smart City and Space concept and make a lasting impact on society. He enjoys venturing into new disciplines to combine cutting-edge technologies and develop novel solutions to today’s structural safety problems.
As a Postdoctoral Scholar at Stanford University, Saman works on multi-functional materials and smart structures with particular emphases on intelligent self-sensing diagnostics and integrated health management for space and aircraft structures.
Outside of his research at Stanford, Saman is collaborating with MIT Media Lab as a Technical Consultant and also with Boeing Research and Technology as a Research Consultant to advance sensing and structural health monitoring systems.
Saman is considered a talented young researcher who has made valuable multidisciplinary contributions at an international level. These research activities have led to more than 40 publications including journal articles, conference proceedings, a textbook, U.S. Patents, national reports and guidelines to date. -
Charbel Farhat
Vivian Church Hoff Professor of Aircraft Structures and Professor of Aeronautics and Astronautics
Current Research and Scholarly InterestsCharbel Farhat and his Research Group (FRG) develop mathematical models, advanced computational algorithms, and high-performance software for the design, analysis, and digital twinning of complex systems in aerospace, marine, mechanical, and naval engineering. They contribute major advances to Simulation-Based Engineering Science. Current engineering foci in research are on reliable autonomous carrier landing in rough seas; dissipation of vertical landing energies through structural flexibility; nonlinear aeroelasticity of N+3 aircraft with High Aspect Ratio (HAR) wings; pulsation and flutter of a parachute; pendulum motion in main parachute clusters; coupled fluid-structure interaction (FSI) in supersonic inflatable aerodynamic decelerators for Mars landing; flight dynamics of hypersonic systems and their trajectories; and advanced digital twinning. Current theoretical and computational emphases in research are on high-performance, multi-scale modeling for the high-fidelity analysis of multi-component, multi-physics problems; discrete-event-free embedded boundary methods for CFD and FSI; efficient Bayesian optimization using physics-based surrogate models; modeling and quantifying model-form uncertainty; probabilistic, physics-based machine learning; mechanics-informed artificial neural networks for data-driven constitutive modeling; and efficient nonlinear projection-based model order reduction for time-critical applications such as design, active control, and digital twinning.
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Grace Gao
Assistant Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering
BioGrace Gao is an assistant professor in the Department of Aeronautics and Astronautics at Stanford University. She leads the Navigation and Autonomous Vehicles Laboratory (NAV Lab). Before joining Stanford University, she was faculty at University of Illinois at Urbana-Champaign. She obtained her Ph.D. degree at Stanford University. Her research is on robust and secure perception, localization and navigation with applications to manned and unmanned aerial vehicles, autonomous driving cars, as well as space robotics.
Prof. Gao has won a number of awards, including the NSF CAREER Award, the Institute of Navigation Early Achievement Award and the RTCA William E. Jackson Award. She received the Inspiring Early Academic Career Award by Stanford University, and Distinguished Promotion Award from University of Illinois at Urbana-Champaign. She has won Best Paper/Presentation of the Session Awards 29 times at Institute of Navigation conferences over the span of 17 years. She received the Dean's Award for Excellence in Research from the College of Engineering, University of Illinois. For her teaching and advising, Prof. Gao has been on the List of Teachers Ranked as Excellent by Their Students at University of Illinois multiple times. She won the College of Engineering Everitt Award for Teaching Excellence, the Engineering Council Award for Excellence in Advising, and AIAA Illinois Chapter’s Teacher of the Year. Prof. Gao also received AIAA Stanford Chapter Advisor of the Year Award in 2022; Teacher of the Year Award in 2023.
