School of Engineering
Showing 11-20 of 36 Results
Associate Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering
BioProf. Elschot's research involves space weather detection and modeling for improved spacecraft designs, and advanced signal processing and electromagnetic wave interactions with plasma for ground-to-satellite communication systems. These topics fall under the Space Situational Awareness (SSA) umbrella that include environmental remote sensing using satellite systems and ground-based radar. Her current efforts include using dust accelerators and light-gas guns to understand the effects of hypervelocity particle impacts on spacecraft along with Particle-In-Cell simulations, and using ground-based radars to characterize the space debris and meteoroid population remotely. She also has active programs in hypersonic plasmas associated with re-entry vehicles.
Acting Assistant Professor, Aeronautics and Astronautics
BioDr. Ermakov's research lies at the intersection of planetary science and planetary exploration by robotic means and focuses on studying the internal structure and evolution of the Solar System bodies ranging from asteroids to gas giants. He received an Engineer Degree in Space Geodesy from the Moscow State University of Geodesy and Cartography in 2010 and a Ph.D. in Planetary Sciences from the Massachusetts Institute of Technology in 2017. After receiving his doctorate degree, Dr. Ermakov was a post-doctoral scholar at the Jet Propulsion Laboratory and at the Earth and Planetary Science Department of the University of California, Berkeley. Since 2021, Dr. Ermakov has been a research scientist at UC Berkeley's Space Sciences Lab. In his research, Dr. Ermakov combines a diverse range of spacecraft data (e.g., spacecraft radiometric tracking, stereo-imaging, magnetometry, microwave radiometry and geologic mapping) with geophysical and orbital dynamics modeling to probe the interiors and histories of Solar System bodies.
Dr. Ermakov has been a member of the NASA Dawn mission team. Dawn was the first mission to orbit two small bodies in the Solar System: asteroid Vesta and dwarf Ceres. Small bodies are a time machine that lets us explore the environment in which planets formed. Combining gravity and topography data sets is one of the most powerful tool to study deep planetary interiors from orbit. Dr. Ermakov used gravity and shape data for detailed studies of asteroid Vesta's and dwarf planet Ceres's internal structures. The Dawn data have established a framework for future geophysical investigations of water-rich worlds in the outer Solar System such as Europa and Enceladus.
Currently, Dr. Ermakov is a participating scientist in the NASA’s Juno mission. Juno is currently orbiting Jupiter and has performed several flybys of the Jovian moons. Dr. Ermakov uses the data from the Juno’s instrument suite to study the interior of Jupiter and its satellites in context of their formation and evolution models.
Vivian Church Hoff Professor of Aircraft Structures, James and Anna Marie Spilker Chair of the Department of Aeronautics and Astronautics 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.
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.
Assistant Professor of Aeronautics and Astronautics
BioKen Hara is an Assistant Professor of Aeronautics and Astronautics at Stanford University. He received a Ph.D. in Aerospace Engineering and a Graduate Certificate in Plasma Science and Engineering from the University of Michigan, and B.S. and M.S. in Aeronautics and Astronautics from the University of Tokyo. He was a Visiting Research Physicist at Princeton Plasma Physics Laboratory as a Japan Society for the Promotion of Science Postdoctoral Fellow. Professor Hara’s research interests include electric propulsion, low temperature plasmas, plasma physics (plasma-wall interactions, plasma-wave interactions), data-driven modeling, rarefied gas flows, and computational fluid and plasma dynamics. He is a recipient of the Air Force Young Investigator Program Award, the Department of Energy Early Career Award, and the Office of Naval Research Young Investigator Program Award.
Professor (Research) of Aeronautics and Astronautics, Emeritus
BioProfessor Jameson's research focuses on the numerical solution of partial differential equations with applications to subsonic, transonic, and supersonic flow past complex configurations, as well as aerodynamic shape optimization.
Associate Professor of Aeronautics and Astronautics and, by courtesy, of Computer Science
BioMykel Kochenderfer is Associate Professor of Aeronautics and Astronautics at Stanford University. Prior to joining the faculty, he was at MIT Lincoln Laboratory where he worked on airspace modeling and aircraft collision avoidance, with his early work leading to the establishment of the ACAS X program. He received a Ph.D. from the University of Edinburgh and B.S. and M.S. degrees in computer science from Stanford University. Prof. Kochenderfer is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision making systems. Of particular interest are systems for air traffic control, unmanned aircraft, and other aerospace applications where decisions must be made in uncertain, dynamic environments while maintaining safety and efficiency. Research at SISL focuses on efficient computational methods for deriving optimal decision strategies from high-dimensional, probabilistic problem representations. He is an author of "Decision Making under Uncertainty: Theory and Application" (2015), "Algorithms for Optimization" (2019), and "Algorithms for Decision Making" (2022), all from MIT Press. He is a third generation pilot.
Thomas V. Jones Professor in the School of Engineering
BioProfessor Kroo's research involves work in three general areas: multidisciplinary optimization and aircraft synthesis, unconventional aircraft, and low-speed aerodynamics. Current research in the field of aircraft synthesis, sponsored by NASA and industry, includes the development of a new computational architecture for aircraft design, and its integration with numerical optimization. Studies of unconventional configurations employ rapid turnaround analysis methods in the design of efficient subsonic and supersonic commercial aircraft. Recent research has included investigation of configurations such as joined wings, oblique wings, and tailless aircraft. Nonlinear low-speed aerodynamics studies have focused on vortex wake roll-up, refined computation of induced drag, the design of wing tips, and the aerodynamics of maneuvering aircraft.
BioNicolas Lee is currently a Research Engineer in Aeronautics and Astronautics at Stanford University, working primarily on asteroid resource characterization and CubeSat technologies. Previously, Nicolas was a Ph.D. student at Stanford studying meteoroid impact effects on spacecraft, and a W. M. Keck Institute for Space Studies postdoctoral scholar in aerospace at Caltech, researching technologies for robotically assembled space telecopes, membrane structures for space solar power applications, and small satellite high voltage electronics.