NAS Summer Interns Share Science & Engineering Project Results
Students from around the U.S. and Canada wrapped up a three-month NASA summer internship opportunity at NAS, presenting results of their projects during two sessions on August 10 and 11, 2023. Interns pursuing undergrad, graduate, and post-doctoral degrees were each matched with NAS Division mentors having expertise in their fields of study.
Project studies contributed to NASA research in aeronautics, space exploration, heliophysics, and Earth science, as well as data analysis and visualization tools and technologies. The students worked both onsite and remotely to gain hands-on experience using NAS facility supercomputers to run their computational simulations.
“I want congratulate all the interns and summer visitors,” said Jared Duensing, Computational Aerosciences Branch Chief in the NAS Division. “They all exceeded their mentors’ expectations. We really appreciate all their hard work.”
Aeronautics
- Characterizing Uncertainty in Sonic Booms due to Atmospheric Weather Variability for the X-59 Presenter: Garo Bedonian, Rensselaer Polytechnic Institute
- High Fidelity Aerodynamic Analysis of Turbulence Models via XV-15 Isolated Rotor Presenter: Daniel Grant, Bowdoin College
- Characterizing Uncertainty in Sonic Booms due to Atmospheric Weather Variability for the X-59 Presenter: Emily Jewell, Stanford University
- Verification & Validation of Medium-Fidelity Rotorcraft Simulations Presenters: Maxim Mounier, University of Pennsylvania; Dylan Bruesehoff, University of Minnesota
- Aerodynamic Analysis of Proprotor Designs for Tiltwing Air Taxi Presenter: Anthony Sanguinetti, University of Illinois
- Distributed Computing for Sustainable Aviation Presenter: Kayode Dunkel Vance, Howard University
Planetary Exploration
- DPLR Study of Gap Filler Fencing Effect during Hypersonic Mars Entry Presenter: Dexter Allen, Washington University at St. Louis
- Developing a Brownout Model for Martian Rotorcraft Presenter: Ethan Baker, Georgia Institute of Technology
- High-Fidelity CFD of Dragonfly’s Backshell Using OVERFLOW Presenter: Joseph Schwartz, Duke University
- Mid- and High-Fidelity Simulations using OVERFLOW for the Dragonfly Mission Presenters: Emily Walker, University of Central Florida; Joyce Lu, Massachusetts Institute of Technology
Heliophysics and Astrophysics
“I want to thank all the interns for their hard work during the summer,” said NAS Computational Physics Branch Chief Seokkwan Yoon. “Our branch hosted 22 interns, 10 onsite and 12 remotely. Many of them worked late nights and weekends to generate meshing or analyze results. Their achievements in such a short period of time are simply amazing.”
- Tracing the Effects of Emerging Active Regions in the Solar Photosphere and in the Corona Using Data from Solar Dynamic Observatory Presenter: Bhairavi Apte, New Jersey Institution of Technology
- Solar Flares: Sunquakes and Extreme Ultraviolet (EUV) Waves Presenter: Robert Bush, New Jersey Institution of Technology
- Turbulent Convection and Overshoot in Intermediate Mass Star using 3D Hydrodynamic Simulations Presenter: George Dufresne, Dartmouth College; Bishop’s University, Canada
- Characterizing Stellar Jitter with Iron Absorption Lines for Precise Radial Velocity Measurements Presenters: Eric Exley, University of California Irvine; Sam Granovsky, New Jersey Institution of Technology; Emma McIntyre, Columbia University; Jordan Thomas, The University of Texas at Austin
- Interpreting Solar Activity: Vorticity and Helicity Patterns Across Various Depths Presenter: Zoe Fischer, University of Minnesota Duluth
- Synthesis of HMI/SDO and Hinode/SOT Observables from Solar Hydrodynamic Simulations Presenter: Devin Hoover, University of Chicago
- Solar Hotspots: High-Temperature Events in the Solar Transition Region Presenter: Brandon Martin, University of Maine
- Supergranule Segmentation and Analysis Presenter: Andrew Ngo, University of Delaware
- Magnetic Helicity as a Predictor of Global Solar Activity Presenter: Hannah Suresh, University of Maryland
- Using Machine Learning Methods to Predict Solare Energetic Proton (SEP) Events Presenter: Vincent Wang, Purdue University
- Development of a Global Solar Activity Data Portal Presenters: Matthew Vu, George Mason University; Vincent Wang, Purdue University
Earth Science
- Distributed Machine Learning for Flood Mapping Presenter: Destinie James, Tuskegee University
Enabling Technologies
- Distributed Machine Learning for Image Processing Presenter: Stephen Blakemore, Hampton University
- LAVA—QUEST Interface Presenter: Austin Bell, University of California, Davis
- LAVA Unstructured Solver with Voronoi Mesh Generation Presenter: Olivia Martin, Stanford University
- LAVA—Analysis and Mitigation of Overset and Coarse-Fine Interface Problems Presenter: Vincenzo Russo, University of Kentucky
“All the interns have done a lot of good work, and I hope they had fun while learning new technologies and methodologies,” said NAS Division Chief Piyush Mehrotra. “We hope they continue this work at their institutions and come back to NASA and work with us later.”
Interested in working with us? Get more information on opportunities at NAS for internships and civil service or contractor jobs.
