School of Engineering
Showing 21-40 of 215 Results
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Juan Blanch
Sr Research Engineer
Current Research and Scholarly InterestsMy research focuses on the design of navigation integrity algorithms for safety critical applications (like air navigation and autonomous driving). I am interested in both the design of practical algorithms that provide the required safety margins, and in the theoretical limits on the performance of the integrity monitoring algorithms.
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Brian Cantwell
Edward C. Wells Professor in the School of Engineering and Professor of Mechanical Engineering, Emeritus
BioProfessor Cantwell's research interests are in the area of turbulent flow. Recent work has centered in three areas: the direct numerical simulation of turbulent shear flows, theoretical studies of the fine-scale structure of turbulence, and experimental measurements of turbulent structure in flames. Experimental studies include the development of particle-tracking methods for measuring velocity fields in unsteady flames and variable density jets. Research in turbulence simulation includes the development of spectral methods for simulating vortex rings, the development of topological methods for interpreting complex fields of data, and simulations of high Reynolds number compressible and incompressible wakes. Theoretical studies include predictions of the asymptotic behavior of drifting vortex pairs and vortex rings and use of group theoretical methods to study the nonlinear dynamics of turbulent fine-scale motions. Current projects include studies of fast-burning fuels for hybrid propulsion and decomposition of nitrous oxide for space propulsion.
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Fu-Kuo Chang
Professor of Aeronautics and Astronautics
BioProfessor Chang's primary research interest is in the areas of multi-functional materials and intelligent structures with particular emphases on structural health monitoring, intelligent self-sensing diagnostics, and multifunctional energy storage composites for transportation vehicles as well as safety-critical assets and medical devices. His specialties include embedded sensors and stretchable sensor networks with built-in self-diagnostics, integrated diagnostics and prognostics, damage tolerance and failure analysis for composite materials, and advanced multi-physics computational methods for multi-functional structures. Most of his work involves system integration and multi-disciplinary engineering in structural mechanics, electrical engineering, signal processing, and multi-scale fabrication of materials. His recent research topics include: Multifunctional energy storage composites, Integrated health management for aircraft structures, bio-inspired intelligent sensory materials for fly-by-feel autonomous vehicles, active sensing diagnostics for composite structures, self-diagnostics for high-temperature materials, etc.
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Richard Christensen
Professor (Research) of Aeronautics and Astronautics and of Mechanical Engineering, Emeritus
BioProfessor Christensen's research is concerned with the mechanics of materials. The behavior of polymers and polymeric fiber composites are areas of specialization. Of particular interest is the field of micro-mechanics that focuses on materials' functionality at intermediate-length scales between atomic and the usual macro scale. Applicable techniques involve the methods of homogenization for all types of composite materials. The intended outcomes of his research are useful means of characterizing the yielding, damage accumulation, and failure behavior of modern materials. A related website has been developed to provide critical evaluations for the mathematical failure criteria used with the various classes of engineering materials. Most of these materials types are employed in aerospace structures and products.
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Anthony Corso
Postdoctoral Scholar, Aeronautics and Astronautics
BioAnthony is a postdoctoral researcher in the Aeronautics and Astronautics Department at Stanford University where he is advised by Professor Mykel Kochenderfer in the Stanford Intelligent Systems Laboratory (SISL) and he is the executive director of the Stanford Center for AI Safety. His research is focused on the use of algorithmic decision-making for safety-critical applications, emphasizing the creation of robust, reliable autonomous systems. He has developed algorithms for the validation and verification of complex autonomous systems such as autonomous vehicles and aviation subsystems. More recently he has applied algorithmic decision making to low-carbon earth resource projects for storing carbon, producing renewable energy, and storing renewable fuels.In 2014 he received a B.S. in physics from Harvey Mudd College with an emphasis on computational methods and in 2016 he received his Master’s in Aeronautics and Astronautics from Stanford. He is a recipient of the Stanford Graduate Fellowship and the Nicholas J. Hoff award for outstanding performance as a Master’s Student.
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Simone D'Amico
Associate Professor of Aeronautics and Astronautics and, by courtesy, of Geophysics
BioSimone D’Amico is Associate Professor of Aeronautics and Astronautics (AA), W.M. Keck Faculty Scholar in the School of Engineering, and Professor of Geophysics (by Courtesy). He is the Founding Director of the Space Rendezvous Laboratory and Director of the AA Undergraduate Program. He received the B.S. and M.S. degrees from Politecnico di Milano (2003) and the Ph.D. degree from Delft University of Technology (2010). Before Stanford, Dr. D’Amico was research scientist and team leader at the German Aerospace Center (DLR) for 11 years. There he gave key contributions to formation-flying and proximity operations missions such as GRACE (NASA/DLR), PRISMA (OHB/DLR/CNES/DTU), TanDEM-X (DLR), BIROS (DLR) and PROBA-3 (ESA). His research aims at enabling future miniature distributed space systems for unprecedented remote sensing, space and planetary science, exploration and spaceflight sustainability. To this end he performs fundamental and applied research at the intersection of advanced astrodynamics, spacecraft Guidance, Navigation and Control (GNC), autonomy, decision making and space system engineering. Dr. D’Amico is institutional PI of three upcoming autonomous satellite swarm missions funded by NASA and NSF, namely STARLING, VISORS, and SWARM-EX. He is Fellow of AAS, Associate Fellow of AIAA, Associate Editor of AIAA JGCD, Advisor of NASA and several space startups. He was the recipient of several awards, including Best Paper Awards at IAF (2022), IEEE (2021), AIAA (2021), AAS (2019) conferences, the Leonardo 500 Award by the Leonardo da Vinci Society/ISSNAF (2019), FAI/NAA’s Group Diploma of Honor (2018), DLR’s Sabbatical/Forschungssemester (2012) and Wissenschaft Preis (2006), and NASA’s Group Achievement Award for the GRACE mission (2004).
