Research Highlights


 

NASA University Leadership Initiative (ULI) Award
2021-2023

UTSA's CAMEE is part of a team led by UT Austin in a $3.3 million project "Full Airframe Sensing Technology (FAST)."
UT Austin »

Defense University Research Instrumentation Program (DURIP) Award
2020-2021

Funded by the U.S. Air Force Office of Scientific Research for $284,884, Dr. Christopher Combs will use the award to buy cameras for the UTSA Hypersonic Lab.
UTSA Today »

Collaborative NASA MUREP INCLUDES Planning Grant
2020-2021

The $50,000 award will enable Dr. Kiran Bhaganagar to prepare the submission of the full proposal within the next 6 months.
newswire » | UTSA Today »

Connecting through Research Partnerships (CONNECT) Program Grant
2020-2021

The $125,000 grant will support Dr. Christopher Combs (UTSA) and Dr. Nicholas Mueschke (SwRI) on their project to develop nonintrusive diagnostics for hypersonic flight testing.
UTSA Today »

Developing Data-Driven Technology Towards Improved Leeway Divergence Prediction
2020-2021

Funded by the U.S. Coastal Guard and U.S. Army for $287,000, Dr. Kiran Bhaganagar will collaborate with UT Dallas Hatchbed Solutions and the San Antonio Edgewood Chemical Biological Center.

Investigation of the Effects of Ablation-Induced Distributed Roughness on Shock-Wave/Boundary-Layer
2019-2022

Funded by the U.S. Air Force Office of Scientific Research for $450,000, Dr. Christopher Combs will investigate the effects of hypersonic shock waves on future U.S. Air Force flight systems.

MOSAiC Arctic Expedition
September 2019 - September 2020

The CAMEE's polar research group is participating in the year-long MOSAiC Arctic expedition via collaboration with Peking University and the Polar Research Institute of China to provide one GNSS-R instrument, along with two similar other GNSS-R from EU countries installed on the ship’s deck and different types of sea ice. These will collect snow depth and potentially sea ice thickness data.

MOSAiC »  |  Polarstern blog »

Follow the MOSAiC Arctic expedition in real time.

 

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