
NASA Selects University Teams to Help Advance Aviation Research
NASA has selected four university teams to conduct aviation research through the University Leadership Initiative. The projects focus on supersonic propulsion, AI-enabled avionics, urban air mobility noise reduction, and aircraft design.
Why it matters
These advancements could lead to faster travel times, quieter flights in populated cities, and a more skilled U.S. aeronautics workforce.
The details
- University of Minnesota is developing a propulsion system capable of Mach 4 speeds.
- Stanford is researching AI-enabled avionics and low-noise flight paths for urban environments.
- Virginia Tech aims to use computer modeling tools to reduce aircraft redesign costs.
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Key connections
NASA Glenn Research Center is a member of NASA
NASA Glenn Research Center is a major research center of NASA located in Cleveland.
NASA Glenn Research Center is located in United States
NASA Glenn Research Center is located in Cleveland, Ohio, United States.
Federal Aviation Administration is located in United States
The Federal Aviation Administration is a United States federal government agency.
University of Minnesota is located in United States
University of Minnesota is a public research university located in the United States.
Virginia Tech is located in United States
Virginia Tech is a public research university located in Blacksburg, Virginia, United States.
Federal Aviation Administration is a partner of NASA
Experts from the FAA provide support and guidance for NASA's University Leadership Initiative awardees.
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NASA funds University of Minnesota
NASA awarded multiyear funding to the University of Minnesota through the University Leadership Initiative.
NASA funds Stanford University
NASA awarded multiyear funding to Stanford University for avionics and urban air mobility research.
NASA funds Virginia Tech
NASA awarded multiyear funding to Virginia Tech through the University Leadership Initiative.
Andrew Provenza works at NASA Glenn Research Center
Andrew Provenza serves as project manager at NASA's Glenn Research Center in Cleveland.
Terrence Meyer works at University of Minnesota
Terrence Meyer leads the propulsion research project at the University of Minnesota.
Somil Bansal works at Stanford University
Somil Bansal leads the learning-enabled avionics safety project at Stanford University.
Juan Alonso works at Stanford University
Juan Alonso leads the urban air mobility noise-reduction center at Stanford University.
Darshan Sarojini works at Virginia Tech
Darshan Sarojini leads the aircraft design research project at Virginia Tech.
Terrence Meyer leads Adaptive Supersonic Combined Cycle Engine for Next-generation Transportation
Terrence Meyer leads the development of the Adaptive Supersonic Combined Cycle Engine project.
Somil Bansal leads Safety Across Lifecycle of Learning-Enabled Avionics Systems: Safety Data Flywheel
Somil Bansal leads the Safety Across Lifecycle of Learning-Enabled Avionics Systems project.
Juan Alonso leads Noise-Optimal Trajectory Planning for Urban Air Mobility Operations, Including Ambient Noise
Juan Alonso leads the center focused on Noise-Optimal Trajectory Planning.
Darshan Sarojini leads Certification Driven Aircraft Design Under Uncertainty
Darshan Sarojini leads the Certification Driven Aircraft Design Under Uncertainty project.
University of Minnesota owns Adaptive Supersonic Combined Cycle Engine for Next-generation Transportation
University of Minnesota is developing the Adaptive Supersonic Combined Cycle Engine system.
Stanford University owns Safety Across Lifecycle of Learning-Enabled Avionics Systems: Safety Data Flywheel
Stanford University is developing the Safety Across Lifecycle of Learning-Enabled Avionics Systems.
Stanford University owns Noise-Optimal Trajectory Planning for Urban Air Mobility Operations, Including Ambient Noise
Stanford University is developing the Noise-Optimal Trajectory Planning framework.
Virginia Tech owns Certification Driven Aircraft Design Under Uncertainty
Virginia Tech is developing the Certification Driven Aircraft Design framework.
Adaptive Supersonic Combined Cycle Engine for Next-generation Transportation uses Ramjet
The propulsion system transitions to a ramjet engine for high-supersonic cruise at Mach 4.
Adaptive Supersonic Combined Cycle Engine for Next-generation Transportation uses Turbofan
The propulsion system uses a traditional jet turbofan during takeoff and subsonic flight.
Safety Across Lifecycle of Learning-Enabled Avionics Systems: Safety Data Flywheel uses Machine Learning
The avionics system incorporates machine learning to manage aircraft communication and navigation.
Noise-Optimal Trajectory Planning for Urban Air Mobility Operations, Including Ambient Noise is related to Urban Air Mobility
The simulation framework models noise for urban air mobility operations.
Certification Driven Aircraft Design Under Uncertainty uses Model-Based Systems Engineering
The design framework integrates model-based systems engineering tools.
Certification Driven Aircraft Design Under Uncertainty uses Multidisciplinary Design Optimization
The design framework integrates multidisciplinary design, analysis and optimization.
Certification Driven Aircraft Design Under Uncertainty uses High-Dimensional Uncertainty Quantification
The framework integrates high-dimensional uncertainty quantification to avoid redesigns.
Related events
NASA Awards $30 Million to Four University Teams for Aviation Research
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