Tag: strategic review
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WAIAM Inspires Young STEM Students with a Visit to Michigan Aerospace
Middle school students tour FXB as part of winning WAIAM challenge
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Aerospace Engineering’s Professor James Cutler Utilized CubeSats for New U-M Astronomy Mission
$10 million NASA grant helps launch the first U-M Astronomy satellite mission
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Joaquim Martins Develops Interactive Tool to Answer Questions Related to Carbon-Neutral Aircraft Efficiency
New research from Professor Martins and his team dives into sustainable aviation
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Professor Karthik Duraisamy Sits Down with Michigan Engineering in MICDE Interview
After over a decade the Michigan Institute for Computational Discovery and Engineering (MICDE) continues to grow and evolve
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U-M Aerospace Alumni Reach for the Stars with Prestigious Air Force Promotions
Dr. Seth Lacy and Dr. (Richard) Scott Erwin highlight how their time at U-M shaped their career
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Alexander Coppeans Awarded Best Student Paper at the 2025 AIAA SciTech Forum
PhD student recognized for for research on aerodynamic shape optimization
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Gökçin Çınar Announced as the 2025 AIAA Lawrence Sperry Award Recipient
Assistant Professor recognized for contributions towards electrified aircraft systems and sustainable aviation
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Dassault Systèmes Introduces New Technology to MBSE Lab Ecosystem
New MBSE and x88 course series partnership puts students at the forefront of next-generation technology
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Michigan Aerospace Stands Out at the 2025 AIAA SciTech Conference
Over 30 students and faculty make their mark at annual conference
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Two U-M Students Named Aviation Week Network’s 20 Twenties Winners of 2025
Michigan Aerospace’s Elijah Simpson and IOE’s Sinan Abdulhak announced as winners of 2025 class
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An ‘AI Scientist’ Could be the Next Step Towards Hypersonics Research
Professors Venkat Raman and Alex Gorodetsky receive DURIP grant for new University of Michigan supercomputer
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Ilya Kolmanovsky Awarded the AIAA Mechanics and Control of Flight Award at AIAA’s Annual SciTech Exposition
Aerospace Professor recognized for contributions towards predictive control algorithms