Programs, Centers and Institutes
Showing 11-20 of 485 Results
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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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Afshine Amidi
Affiliate, Institute for Computational and Mathematical Engineering (ICME)
BioTeaching CME 295: Transformers & Large Language Models (https://cme295.stanford.edu/) and CME 296: DIffusion & Large Vision Models (https://cme296.stanford.edu/).
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Shervine Amidi
Affiliate, Institute for Computational and Mathematical Engineering (ICME)
BioTeaching CME 295: Transformers & Large Language Models (https://cme295.stanford.edu/) and CME 296: DIffusion & Large Vision Models (https://
cme296.stanford.edu/). -
Amin Arbabian
Professor of Electrical Engineering
Current Research and Scholarly InterestsMy group's research covers RF circuits and system design for (1) biomedical, (2) sensing, and (3) Internet of Things (IoT) applications.
