People

Nicholas C. Orndorff

PhD candidate

Nicholas C. Orndorff

Studies trajectory and vehicle design optimization, including power-beaming-enabled aircraft and distributed MDO architectures.

Education

  • PhD, Mechanical and Aerospace Engineering
    UC San Diego · 2022–present
  • MS, Mechanical Engineering
    UC San Diego · 2021–2022
  • BS, Mechanical Engineering
    University of Washington · 2021

Experience

  • Intern
    Scaled Composites
  • Intern
    Vashon Aircraft

Papers

  1. Nicholas C. Orndorff, Christopher Lupp, John T. Hwang. A Distributed Algorithm for Large-Scale Multidisciplinary Design Optimization With Global Constraints. AIAA AVIATION 2026 Forum, 2026. Distribution Statement A: Approved for public release; distribution is unlimited. PA# AFRL-2026-2045
    DOIPDF
  2. Luca Scotzniovsky, Nicholas C. Orndorff, Andrew H. Fletcher, Jason Kao, John T. Hwang. Large-Scale Multidisciplinary Design Optimization of a Blended Wing Body Aircraft Using Mid-Fidelity, Multi-Point Analysis. AIAA AVIATION 2026 Forum, 2026. Distribution Statement A: Approved for public release; distribution is unlimited. PA# AFRL-2026-2042
    DOIPDF
  3. Nicholas C. Orndorff, John T. Hwang. A Distributed Method for Solving Large-Scale Multidisciplinary Optimization Problems. AIAA AVIATION FORUM AND ASCEND 2025, 2025.
    DOIPDF
  4. Sebastiaan P. van Schie, Marius L. Ruh, Andrew H. Fletcher, Michael Warner, Mark Sperry, Luca Scotzniovsky, Nicholas C. Orndorff, Ru Xiang, Jiayao Yan, Han Zhao, Joshua Krokowski, Jiun-Shyan Chen, Darshan Sarojini, Hyunjune Gill, Seongkyu Lee, Andrew C. Tagg, Ryan Anderson, Eric Green, Cibin Joseph, Andrew Ning, Zeyu Cheng, Zhi Cao, Chunting Mi, Alexandre T. Guibert, Ashley Cronk, Alicia A. Kim, Shirley Meng, Christopher Silva, John T. Hwang. Large-Scale Distributed Multidisciplinary Design Optimization of the NASA Lift-Plus-Cruise Air Taxi Concept. AIAA SCITECH 2025 Forum, 2025.
    DOIPDF
  5. Bingran Wang, Nicholas C. Orndorff, Mark Sperry, John T. Hwang. Extension of graph-accelerated non-intrusive polynomial chaos to high-dimensional uncertainty quantification through the active subspace method. Aerospace Science and Technology, 2025.
    DOIPDF
  6. Marius L. Ruh, Andrew Fletcher, Darshan Sarojini, Mark Sperry, Jiayao Yan, Luca Scotzniovsky, Sebastiaan P. van Schie, Michael Warner, Nicholas C. Orndorff, Ru Xiang, Anugrah J. Joshy, Han Zhao, Joshua Krokowski, Hyunjune Gill, Seongkyu Lee, Zeyu Cheng, Zhi Cao, Chris Mi, Christopher Silva, Lauren Wolfe, Jiun-Shyan Chen, John T. Hwang. Large-scale multidisciplinary design optimization of a NASA air taxi concept using a comprehensive physics-based system model. AIAA SCITECH 2024 Forum, 2024.
    DOIPDF
  7. Darshan Sarojini, Marius Ruh, Jiayao Yan, Luca Scotzniovsky, Nicholas C. Orndorff, Ru Xiang, Han Zhao, Joshua Krokowski, Michael Warner, Sebastiaan van Schie, Ashley Cronk, Alexandre T. Guibert, Jeffrey T. Chambers, Lauren Wolfe, Rachel Doring, Robin Despins, Cibin Joseph, Ryan Anderson, Andrew Ning, Hyunjune Gill, Seongkyu Lee, Zeyu Cheng, Zhi Cao, Chris Mi, Ying Shirley Meng, Christopher Silva, Jiun-Shyan Chen, Alicia A. Kim, John T. Hwang. Review of Computational Models for Large-Scale MDAO of Urban Air Mobility Concepts. AIAA SCITECH 2024 Forum, 2024.
    DOIPDF
  8. Bingran Wang, Nicholas C. Orndorff, Mark Sperry, John T. Hwang. A gradient-enhanced univariate dimension reduction method for uncertainty propagation. Aerospace Science and Technology, 2024.
    DOIPDF
  9. Bingran Wang, Nicholas C. Orndorff, Mark Sperry, John T. Hwang. A gradient-enhanced univariate dimension reduction method for uncertainty propagation. AIAA SCITECH 2024 Forum, 2024.
    DOIPDF
  10. Bingran Wang, Nicholas C. Orndorff, John T. Hwang. Graph-accelerated non-intrusive polynomial chaos expansion using partially tensor-structured quadrature rules for uncertainty quantification. Aerospace Science and Technology, 2024.
    DOIPDF
  11. Bingran Wang, Nicholas C. Orndorff, Anugrah J. Joshy, John T. Hwang. Graph-accelerated large-scale multidisciplinary design optimization under uncertainty of a laser-beam-powered aircraft. AIAA SCITECH 2024 Forum, 2024.
    DOIPDF
  12. Nicholas C. Orndorff, Darshan Sarojini, Luca Scotzniovsky, Hyunjune Gill, Seongkyu Lee, Zeyu Cheng, Shuofeng Zhao, Chris Mi, John T. Hwang. Air-taxi transition trajectory optimization with physics-based models. AIAA SCITECH 2023 Forum, 2023.
    DOIPDF
  13. Nicholas C. Orndorff, Bingran Wang, Marius L. Ruh, Andrew H. Fletcher, John T. Hwang. Gradient-Based Sizing Optimization of Power-Beaming-Enabled Aircraft. AIAA AVIATION 2023 Forum, p. 4019, 2023.
    DOIPDF
  14. Darshan Sarojini, Marius L. Ruh, Mark Sperry, Jiayao Yan, Andrew Fletcher, Anugrah Jo Joshy, Luca Scotzniovsky, Alexander Ivanov, Nicholas Orndorff, Victor Gandarillas, Isaac Asher, Jeff Chambers, Hyunjune Gill, Seongkyu Lee, Zeyu Cheng, Gabriel Rodriguez, Shuofeng Zhao, Chunting Mi, Thomas Nascenzi, Timothy Cuatt, Tyler Winter, Alexandre Guibert, Ashley Cronk, Alicia Kim, Shirley Meng, John T. Hwang. Large-Scale Multidisciplinary Design Optimization of an eVTOL Aircraft Using Comprehensive Analysis. AIAA SciTech 2023 Forum, 2023.
    PDF
  15. Bingran Wang, Nicholas C. Orndorff, Mark Sperry, John T. Hwang. High-Dimensional Uncertainty Quantification Using Graph-Accelerated Non-Intrusive Polynomial Chaos and Active Subspace Methods. AIAA Aviation 2023 Forum, 2023.
    PDF
  16. Bingran Wang, Nicholas C. Orndorff, John T. Hwang. Optimally tensor-structured quadrature rule for uncertainty quantification. AIAA SCITECH 2023 Forum, 2023.
    DOIPDF
  17. Nicholas C. Orndorff, John T. Hwang. Investigation of Optimal Air-Taxi Transition Profiles using Direct-Transcription Trajectory Optimization. AIAA AVIATION 2022 Forum, 2022.
    DOIPDF