Joanna Schmidt
Title: AST, Aerospace Vehicle Design & Mission Analysis
Technical Focus Areas: Risk Assessment and Mitigation, Uncertainty Quantification Software Development
Missions/Projects: System-Wide Safety (SWS) and Transformational Tools and Technologies (TTT)
Study Topics/Expertise: Modeling and Simulation, Python Software Development, small Uncrewed Aerial Systems (sUAS), Uncertainty Quantification
Joanna Schmidt earned her bachelor’s degree in physics from The University of Alabama at Birmingham (UAB) in 2019. She then moved to Virginia and became a contractor in the Aeronautics Systems Analysis Branch (ASAB) at NASA’s Langley Research Center. As a contractor, she supported Uncertainty Quantification (UQ) software development for the Commercial Supersonic Technology (CST) Project.
In 2023, Joanna was hired as a civil servant in ASAB, working on the System-Wide Safety (SWS) Project to enhance small Uncrewed Aerial Systems (sUAS) safety and the Transformational Tools and Technologies (TTT) Project to continue the development of UQ tools.
Awards
- Spot Award, Analytical Mechanics Associates (December 2020)
- NASA Alabama Space Grant Consortium Scholarship (Fall 2018-Spring 2019)
- Outstanding Undergraduate Student, Department of Physics, University of Alabama at Birmingham (Spring 2019)
Education/Professional Experience
- B.S. in Physics, University of Alabama at Birmingham (2019)
- M.S. in Modeling and Simulation Engineering, Old Dominion University (2024)
- Scientist, Analytical Mechanics Associates (2019-2023)
- Research Engineer, NASA Langley Research Center (2023-Present)
Publications
- Chen, W.-C., Schmidt, J. N., Yan, D., Vohra, Y. K., and Chen, C.-C., “Machine Learning and Evolutionary Prediction of Superhard B-C-N Compounds,” npj Computational Materials, Springer Science and Business Media LLC, 7, 1, Jul 21 2021. https://doi.org/10.1038/s41524-021-00585-7
- Eggert, C. A., White, L., Schmidt, J. N., Phillips, B. D., and Windous, Z. D., “Method for System-Level Multidisciplinary Uncertainty Analysis of Low-Boom Flight Vehicles,” AIAA SCITECH 2024 Forum, American Institute of Aeronautics and Astronautics, Jan 04 2024. https://doi.org/10.2514/6.2024-1876
- Phillips, B. D., Schmidt, J. N., Falck, R., and Aretskin-Hariton, E., “End-To-End Uncertainty Quantification with Analytical Derivatives for Design Under Uncertainty,” AIAA SCITECH 2024 Forum, American Institute of Aeronautics and Astronautics, Jan 04 2024. https://doi.org/10.2514/6.2024-0173
- Fazal, B., Schmidt, J., Phillips, B. D., Ordaz, I., and Moore, K., “Integration of Uncertainty Quantification in a Model-Based Systems Analysis and Engineering Framework,” AIAA AVIATION FORUM AND ASCEND 2024, American Institute of Aeronautics and Astronautics, Jul 27 2024. https://doi.org/10.2514/6.2024-4559
- White, L., Schmidt, J., Doebler, W., and Carpenter, F., “Uncertainty Quantification Methodology for Sonic Boom Loudness of a Low-Boom Supersonic Concept,” AIAA AVIATION FORUM AND ASCEND 2024, American Institute of Aeronautics and Astronautics, Jul 27 2024. https://doi.org/10.2514/6.2024-4668
- Cummings, W. G., Ancel, E., Revolinsky, P., Schmidt, J., and Glover, J., “Ground Risk Informed Operational Planning for Small Unmanned Aerial Systems,” AIAA AVIATION FORUM AND ASCEND 2024, American Institute of Aeronautics and Astronautics, Jul 27 2024. https://doi.org/10.2514/6.2024-4549
Related Websites
System-Wide Safety Project (SWS)
Transformational Tools and Technology Project (TTT)
Ground Risk Assessment Service Provider (GRASP)
Uncertainty Quantification using Polynomial Chaos Expansion (UQPCE)
Hobbies/Interests
Running, doing puzzles, caring for plants