School of Engineering
Showing 1-50 of 208 Results
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Mahdi Al-Husseini
Masters Student in Aeronautics and Astronautics, admitted Winter 2021
BioCaptain Mahdi Al-Husseini is the modernization director at the 25th Infantry Division and an active-duty HH60M helicopter pilot stationed at Wheeler Army Airfield, Hawaii. He is a graduate researcher at Stanford where he studies intelligent systems and human-autonomy teaming as applied to search and rescue, medical evacuation, and wildfire response. Mahdi is a registered patent agent, professional engineer, and inventor with more than 30 patents and patent applications, the majority of which have been acquired by the military and industry.
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Juan Alonso
Vance D. and Arlene C. Coffman Professor and the James and Anna Marie Spilker Chair of the Department of Aeronautics and Astronautics
BioProf. Alonso is the founder and director of the Aerospace Design Laboratory (ADL) where he specializes in the development of high-fidelity computational design methodologies to enable the creation of realizable and efficient aerospace systems. Prof. Alonso’s research involves a large number of different manned and unmanned applications including transonic, supersonic, and hypersonic aircraft, helicopters, turbomachinery, and launch and re-entry vehicles. He is the author of over 200 technical publications on the topics of computational aircraft and spacecraft design, multi-disciplinary optimization, fundamental numerical methods, and high-performance parallel computing. Prof. Alonso is keenly interested in the development of an advanced curriculum for the training of future engineers and scientists and has participated actively in course-development activities in both the Aeronautics & Astronautics Department (particularly in the development of coursework for aircraft design, sustainable aviation, and UAS design and operation) and for the Institute for Computational and Mathematical Engineering (ICME) at Stanford University. He was a member of the team that currently holds the world speed record for human powered vehicles over water. A student team led by Prof. Alonso also holds the altitude record for an unmanned electric vehicle under 5 lbs of mass.
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Ethan Anzia
Masters Student in Aeronautics and Astronautics, admitted Autumn 2023
BioFirst year Masters student studying Aeronautics and Astronautics at Stanford University with experience in many programs such as Python, MATLAB, EES, NX, Abaqus, SolidWorks Simulation, Arduino, Microsoft Office, LabView, and Mathcad. Possesses a CSWP (Certified SolidWorks Professional) License and proficient in all mechanical engineering subjects including Thermodynamics, Solid Mechanics, Fluid Mechanics, Dynamics, Finite Element Analysis, Heat Transfer, Aerodynamics, and Orbital Mechanics. I got my Bachelor of Science in Mechanical Engineering from the Colorado School of Mines in Golden, CO. I have prior work experience as a part of the Metal Structures/Seals Design & Analysis group within Propulsion Systems at Northrop Grumman in Promontory, Utah. I completed joint volume calculations for thermal analysis, generated manufacturing review dispositions and modeled forward skirt components on multiple programs such as SLS for the Artemis program. I also have been a peer tutor in the subjects of Thermodynamics, Statics, Solid Mechanics, Fluid Mechanics, Dynamics, Finite Element Analysis, Feedback Systems, and Machine Design. I am currently seeking an internship or co-op experience in an Aerospace Engineering position.
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Mansur Arief
Postdoctoral Scholar, Aeronautics and Astronautics
BioI am a postdoctoral scholar at Stanford Intelligent Systems Lab (SISL). I received my Ph.D. degree in Mechanical Engineering from Carnegie Mellon in 2023 and a master's degree in Industrial and Operations Engineering at the University of Michigan, Ann Arbor. Much of my work combines machine learning and rare-event theories to efficiently simulate rare catastrophic events. The applications of this line of work include the accelerated testing of intelligent systems. Currently, I am working on AI for safety and sustainability projects, which merge efficient simulation frameworks with optimization and decision-making algorithms.
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Manan Arya
Assistant Professor of Aeronautics and Astronautics
Current Research and Scholarly InterestsManan Arya leads the Morphing Space Structures Laboratory. His research is on structures that can adapt their shape to respond to changing requirements. Examples include deployable structures for spacecraft that can stow in constrained volumes for launch and then unfold to larger sizes in space, terrestrial structures with variable geometry, and morphing robots. Key research thrusts include lightweight fiber-reinforced composite materials to enable innovative designs for flexible structures, and the algorithmic generation of the geometry of morphing structures – the arrangement of stiff and compliant elements – to enable novel folding mechanisms.
He has published more than 20 journal and conference papers and has been awarded 5 US patents. Prior to joining Stanford, he was a Technologist at the Advanced Deployable Structures Laboratory at the Jet Propulsion Laboratory, California Institute of Technology, where he developed and tested breakthrough designs for space structures, including deployable reflectarrays, starshades, and solar arrays. -
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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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).
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Sigrid Elschot
Associate Professor of Aeronautics and Astronautics
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.
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Anton Ermakov
Assistant Professor of Aeronautics and Astronautics
Current Research and Scholarly InterestsI am interested in the formation and evolution of the Solar System bodies and the ways we can constrain planetary interiors by geophysical measurements.
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Roya Firoozi
Postdoctoral Scholar, Aeronautics and Astronautics
BioRoya is currently a postdoctoral researcher at Stanford University, Multi-Robot Systems Laboratory. She received her bachelor's degree in mechanical engineering and her Ph.D. in control theory, with minors in optimization and machine learning from the University of California, Berkeley. Her research focuses on enabling safe robot autonomy powered by generative AI in interactive, open-world environments. Roya has received the NSF Postdoctoral Fellowship Award, the UC Berkeley Outstanding Graduate Student Instructor Award, and the UC Berkeley Chancellor’s Award. She was recognized as a rising star in EECS and Aerospace Engineering. Outside of her research, she has served as the robotics mentor at Stanford AI4ALL outreach program that aims to increase diversity in artificial intelligence.
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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
On Partial Leave from 04/01/2024 To 06/30/2024Current 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.
