School of Engineering
Showing 1-10 of 216 Results
-
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.
-
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.
-
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.
-
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.
