People

John T. Hwang

Associate Professor · Director

John T. Hwang

Large-scale design optimization of complex engineering systems, with an emphasis on the computational architecture that makes gradient-based optimization of coupled models practical.

Education

  • PhD, Aerospace Engineering
    University of Michigan · 2015
  • MS, Mathematics
    University of Michigan · 2013
  • MSE, Aerospace Engineering
    University of Michigan · 2012
  • BASc, Engineering Science
    University of Toronto · 2010

Experience

  • Associate Professor, Mechanical and Aerospace Engineering
    UC San Diego · 2024–present
  • Assistant Professor, Mechanical and Aerospace Engineering
    UC San Diego · 2018–2024
  • Research Engineer
    NASA Glenn Research Center · 2016–2018
  • Postdoctoral Fellow
    University of Michigan · 2015–2016

Selected awards

  • DARPA Young Faculty Award
    2022
  • Runner-up, NASA Software of the Year Award (co-developer)
    2020
  • Presidential Early Career Award for Scientists and Engineers (PECASE)
    2025

Papers

  1. Andrew H. Fletcher, Hollis A. Smith, John T. Hwang. Efficient and Robust Enforcement of Geometric Non-Interference Constraints for Large-Scale Multidisciplinary Design Optimization. AIAA AVIATION 2026 Forum, AIAA 2026-4501 (AFRL public release), 2026. Distribution Statement A: Approved for public release; distribution is unlimited. PA# AFRL-2026-2044
    PDF
  2. Andrew H. Fletcher, John T. Hwang. Implicit Nonlinear Geometry Parameterization for Multidisciplinary Design Optimization. ASME IDETC/CIE 2026 · DETC2026-192508, 2026. Manuscript
  3. Anugrah Jo Joshy, Jonathan Zerez, John T. Hwang. Enhancing Robustness and Efficiency in Large-Scale System Design Optimization Using Hessian-Vector Products. ASME IDETC/CIE 2026, Houston, Aug 23–26; public domain at conference, 2026. Manuscript
  4. Anugrah Jo Joshy, John T. Hwang. modOpt: A modular development environment and library for optimization algorithms. Advances in Engineering Software, 2026.
    DOIPDF
  5. 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
  6. Marius L. Ruh, John T. Hwang. Differentiable Signed Distance Function Surrogates for Multidisciplinary Design Optimization Using Radial Basis Functions. ASME IDETC/CIE 2026 · DETC2026-194018, 2026. Manuscript
  7. Marius L. Ruh, John T. Hwang. Surface Mesh Deformation for Large-Scale Multidisciplinary Design Optimization of Aircraft Concepts. AIAA AVIATION 2026 Forum, AIAA 2026-4569, 2026.
    PDF
  8. Marius L. Ruh, Michael A. P. Warner, Luca Scotzniovsky, Andrew H. Fletcher, Mark Z. Sperry, John T. Hwang. System-Level, Large-Scale Multidisciplinary Design Optimization of an Air Taxi Concept. Journal of Aircraft, 2026.
    DOIPDF
  9. 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
  10. Luca Scotzniovsky, John T. Hwang. VortexAD: A Graph-Based Linear Potential Flow Analysis Framework for Large-Scale MDO. AIAA AVIATION 2026 Forum, AIAA 2026-4642, 2026.
    PDF
  11. Mark Sperry, John T. Hwang. Multifidelity Surrogate Modeling for 3D Aerodynamic Flow Field Prediction Using Graph Neural Networks. AIAA AVIATION 2026 Forum, 2026. Distribution Statement A: Approved for public release; distribution is unlimited. PA# AFRL-2026-2231
    DOIPDF
  12. Sebastiaan P. van Schie, John T. Hwang. Computational Framework for High-Fidelity Aerodynamic Shape Optimization Using Weighted POD. AIAA AVIATION 2026 Forum, 2026.
    DOIPDF
  13. Sebastiaan P. van Schie, John T. Hwang. Towards Hyper-Reduced Weighted POD for Large-Scale Aerodynamic Design Optimization. AIAA SCITECH 2026 Forum, 2026.
    DOIPDF
  14. Bingran Wang, Min Sung Kim, Taewoong Yoon, Dasom Lee, Byeong-Sang Kim, Dougyong Sung, John T. Hwang. Design Optimization of Semiconductor Manufacturing Equipment Using a Novel Multi-Fidelity Surrogate Modeling Approach. Optimization and Engineering, 27(2), 1451–1479, 2026.
    PDF
  15. Bingran Wang, Seongha Jeong, Sebastiaan P. C. van Schie, Dongyeon Han, Jaeho Min, John T. Hwang. Knowledge-Guided Generative Surrogate Modeling for High-Dimensional Design Optimization Under Scarce Data. Journal of Computing and Information Science in Engineering, 2026.
    DOIPDF
  16. Michael Warner, John T. Hwang. Reduced Jacobian Supervision for Data-Efficient Operator Learning in High-Dimensional Design Spaces. AIAA AVIATION 2026 Forum, 2026. Distribution Statement A: Approved for public release; distribution is unlimited. PA# AFRL-2026-2144
    DOIPDF
  17. Michael A. P. Warner, John T. Hwang. Structured Reduced-Basis Neural Operators for PDEs on Complex Geometries. ASME IDETC/CIE 2026 · DETC2026-194246, 2026. Distribution Statement A: Approved for public release; distribution is unlimited. PA# AFRL-2026-1143 Manuscript
  18. Jiayao Yan, Michael T. Tolley, Qiang Zhu, John T. Hwang. Simultaneous kinematics and shape optimization of a carangiform swimmer using gradient-based optimization. Optimization and Engineering, 2026.
  19. Zeyu Cheng, Zhi Cao, Chris Mi, John T. Hwang. Cost Optimization of Electric Vertical Takeoff and Landing Aircraft Through Powertrain Modeling. Journal of Air Transportation, 2025.
    DOIPDF
  20. Zeyu Cheng, Zhi Cao, John T. Hwang, Chris Mi. Weight minimization of electric vertical takeoff and landing aircraft: From the comprehensive powertrain perspective. International Journal of Electrical Power & Energy Systems, 2025.
    DOIPDF
  21. Andrew Fletcher, Ru Xiang, Luca Scotzniovsky, Jacobo Cervera-Torralba, Michael T. Tolley, John T. Hwang. Multidisciplinary Control Co-Design Optimization of Anguilliform-Swimming Soft Fluidic Robots. IEEE International Conference on Soft Robotics (RoboSoft), 2025, 2025.
    PDF
  22. Andrew H. Fletcher, Ru Xiang, Jacobo Cervera-Torralba, Michael T. Tolley, John T. Hwang. Multidisciplinary Design Optimization of an Eel-Inspired Soft Robot. AIAA SciTech 2025 Forum; AIAA 2025-1751, 2025.
    PDF
  23. Yeonsu Kim, Junhan Lee, Bingran Wang, John T. Hwang, Dongjin Lee. Interpolation-Based Optimal Knot Selection in Spline Dimensional Decomposition for Uncertainty Quantification in Dynamical Systems. Applied Mathematical Modelling, 116613, 2025.
    PDF
  24. Joshua Krokowski, John T. Hwang. Penalty-Based Coupling of Non-Matching Beam Cross-Section Meshes for Large-Scale Design Optimization. AIAA AVIATION FORUM AND ASCEND 2025, 2025.
    DOIPDF
  25. Aedan Mangan, Sukjun Kim, Noah Jones, Michael G. Brandel, Jeremy J. Heit, Alexander Norbash, John T. Hwang, Elliot Hawkes, Tania K. Morimoto. Serially-Connected Soft Continuum Robots for Endovascular Emergencies. IEEE Transactions on Medical Robotics and Bionics, 2025.
    DOIPDF
  26. Nicholas C. Orndorff, John T. Hwang. A Distributed Method for Solving Large-Scale Multidisciplinary Optimization Problems. AIAA AVIATION FORUM AND ASCEND 2025, 2025.
    DOIPDF
  27. Marius L. Ruh, John T. Hwang. Differentiable Surface Mesh Deformation for Non-Conformal, Independently Parameterized Components with Large Shape Changes. AIAA AVIATION FORUM AND ASCEND 2025, 2025.
    DOIPDF
  28. Marius L. Ruh, Michael Warner, John T. Hwang. Toward Large-Scale Multidisciplinary Design Optimization of Aircraft With CFD and Mixed-Fidelity System Models. AIAA SCITECH 2025 Forum, 2025.
    DOIPDF
  29. Luca Scotzniovsky, John T. Hwang. A Fast, Memory-Efficient Panel Method for Large-Scale Multidisciplinary Design Optimization Under Uncertainty Using Graph-Based Modeling. AIAA AVIATION 2025 Forum, 2025.
    PDF
  30. Luca Scotzniovsky, Ru Xiang, Zeyu Cheng, Gabriel Rodriguez, David Kamensky, Chris Mi, John T. Hwang. Geometric design of electric motors using adjoint-based shape optimization. Optimization and Engineering, 2025.
    DOIPDF
  31. Mark Sperry, John T. Hwang. Hybrid Training of Physics-Informed Neural Networks with Approximate Supervision. AIAA AVIATION 2025 Forum, 2025.
    PDF
  32. Mark Z. Sperry, John T. Hwang. Ozone: an open-source ordinary differential equation solver for gradient-based optimization. Optimization and Engineering, 2025.
    DOIPDF
  33. 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
  34. Sebastiaan P. C. van Schie, Boris Kramer, John T. Hwang. Weighted Proper Orthogonal Decomposition for High-Dimensional Optimization. arXiv:2508.09084v1, 2025. Preprint
    PDFarXiv
  35. Bingran Wang, Michael Warner, Aoran Tian, Luca Scotzniovsky, John T. Hwang. A comparative study of uncertainty quantification methods in gust response analysis of a Lift-Plus-Cruise eVTOL aircraft wing. AIAA SCITECH 2025 Forum, 2025.
    DOIPDF
  36. 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
  37. Bingran Wang, Marius L. Ruh, Aoran Tian, Luca Scotzniovsky, John T. Hwang. Large-scale MDO under uncertainty of an eVTOL aircraft using dimension reduction via global sensitivity analysis. AIAA AVIATION FORUM AND ASCEND 2025, 2025.
    DOIPDF
  38. Han Zhao, John T. Hwang, Jiun-Shyan Chen. Open-source shape optimization for isogeometric shells using FEniCS and OpenMDAO. Engineering with Computers, 2025.
    DOIPDF
  39. Ryan C. Dunn, Anugrah Jo Joshy, Jui-Te Lin, Cédric Girerd, Tania K. Morimoto, John T. Hwang. Scalable enforcement of geometric non-interference constraints for gradient-based optimization. Optimization and Engineering, 2024.
    DOIPDF
  40. Anugrah Jo Joshy, John T. Hwang. PySLSQP: A transparent Python package for the SLSQP optimization algorithm modernized with utilities for visualization and post-processing. Journal of Open Source Software, 2024.
    DOI
  41. Jui-Te Lin, Cédric Girerd, Benjamin T. Ostrander, Parsa Molaei, Hunter B. Gilbert, Philip A. Weissbrod, John T. Hwang, Tania K. Morimoto. Closing the Loop on Concentric Tube Robot Design: A Case Study on Micro-Laryngeal Surgery. IEEE Transactions on Biomedical Engineering, 2024.
    DOIPDF
  42. 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
  43. Sergio A. Sandoval, Ping Lu, John T. Hwang. Abort Guidance During Lunar Powered Descent. Journal of Guidance, Control, and Dynamics, 2024.
    DOIPDF
  44. 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
  45. Paul Saves, Rémi Lafage, Nathalie Bartoli, Youssef Diouane, Jasper Bussemaker, Thierry Lefebvre, John T. Hwang, Joseph Morlier, Joaquim R.R.A. Martins. SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes. Advances in Engineering Software, 2024.
    DOIPDF
  46. Mark Sperry, Kavish Kondap, John T. Hwang. Static Task Scheduling for Parallel Execution of Large-Scale Multidisciplinary Design Optimization Models. AIAA SCITECH 2024 Forum, 2024.
    DOIPDF
  47. Sebastiaan P. van Schie, Michael Warner, Andrew Fletcher, John T. Hwang. Enforcing Work Conservation in Modular Aeroelastic Coupling For Multidisciplinary Design Optimization. AIAA SCITECH 2024 Forum, 2024.
    DOIPDF
  48. Bingran Wang, Mark Sperry, Victor E. Gandarillas, John T. Hwang. Accelerating Model Evaluations in Uncertainty Propagation on Tensor Grids Using Computational Graph Transformations. Aerospace Science and Technology 145 (2024), p. 108843, 2024.
    PDF
  49. 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
  50. 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
  51. 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
  52. 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
  53. Michael Warner, Andrew Fletcher, Sebastiaan P. van Schie, John T. Hwang. A Method for Modular MDO Model Assembly via a Solver Independent Field Representation. AIAA SCITECH 2024 Forum, 2024.
    DOIPDF
  54. Ru Xiang, Sebastiaan P. C. van Schie, Luca Scotzniovsky, Jiayao Yan, David Kamensky, John T. Hwang. Automating adjoint sensitivity analysis for multidisciplinary models involving partial differential equations. Structural and Multidisciplinary Optimization (in press 2024, per CV), 2024.
    DOIPDF
  55. Yunti Xu, Connor Watson, Jui-Te Lin, John T. Hwang, Tania K. Morimoto. Shape Control of Concentric Tube Robots via Approximate Follow-the-Leader Motion. IEEE Robotics and Automation Letters, 2024.
    DOIPDF
  56. Han Zhao, David Kamensky, John T. Hwang, Jiun-Shyan Chen. Automated shape and thickness optimization for non-matching isogeometric shells using free-form deformation. Engineering with Computers, 2024.
    DOIPDF
  57. Han Zhao, John T. Hwang, Jiun-Shyan Chen. Shape optimization of non-matching isogeometric shells with moving intersections. Computer Methods in Applied Mechanics and Engineering, 2024.
    DOIPDF
  58. Ryan M. Anderson, Andrew Ning, Ru Xiang, Sebastiaan P. C. van Schie, Mark Sperry, Darshan Sarojini, David Kamensky, John T. Hwang. Aerostructural Predictions Combining FEniCS and a Viscous Vortex Particle Method FLOWVPM. AIAA SciTech 2023 Forum, 2023.
    PDF
  59. Zeyu Cheng, Shuofeng Zhao, Luca Scotzniovsky, Gabriel Rodriguez, Chris Mi, John T. Hwang. A Differentiable Method for Low-Fidelity Analysis of Permanent-Magnet Synchronous Motors. AIAA SciTech 2023 Forum, 2023.
    PDF
  60. Zeyu Cheng, Zhi Cao, John T. Hwang, Chris Mi. A Novel Single-Turn Permanent Magnet Synchronous Machine for Electric Aircraft. Energies, 2023.
    DOIPDF
  61. Victor Gandarillas, Anugrah Jo Joshy, Mark Z. Sperry, Alexander K. Ivanov, John T. Hwang. A Graph-Based Methodology for Constructing Computational Models that Automates Adjoint-Based Sensitivity Analysis. Structural and Multidisciplinary Optimization 67.5 (2024), p. 76, 2023.
    PDF
  62. Victor E. Gandarillas, John T. Hwang. Large-Scale Multidisciplinary Design Optimization of a Virtual-Telescope CubeSat Swarm. AIAA Aviation 2023 Forum, 2023.
    PDF
  63. Hyunjune Gill, Seongkyu Lee, Marius L. Ruh, John T. Hwang. Applicability of Low-Fidelity Tonal and Broadband Noise Models on Small-Scale Rotors. AIAA SciTech 2023 Forum, 2023.
    PDF
  64. Zeyu Huang, Darshan Sarojini, John T. Hwang. Efficient Gradient-Based Optimization of Differential-Algebraic Equation Systems. AIAA SCITECH 2023 Forum, 2023.
    DOIPDF
  65. Anugrah Jo Joshy, Ryan Dunn, Mark Sperry, Victor E. Gandarillas, John T. Hwang. An SQP algorithm based on a hybrid architecture for accelerating optimization of large-scale systems. AIAA AVIATION 2023 Forum, 2023.
    DOIPDF
  66. Thomas Nascenzi, Timothy Cuatt, Tyler F. Winter, Marius L. Ruh, Darshan Sarojini, John T. Hwang, Sarina Kiani. Physics-based Surrogate Models for Urban Air Mobility Vehicle Weight Prediction. AIAA SCITECH 2023 Forum, 2023.
    DOIPDF
  67. 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
  68. 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
  69. Marius L. Ruh, Xiangbei Liu, Rose Yu, John T. Hwang. Airfoil shape parameterization using reconstruction-error-minimizing generative adversarial networks. AIAA AVIATION 2023 Forum, 2023.
    DOIPDF
  70. Marius L. Ruh, John T. Hwang. Fast and Robust Computation of Optimal Rotor Designs Using Blade Element Momentum Theory. AIAA Journal, 2023.
    DOIPDF
  71. Marius L. Ruh, Darshan Sarojini, Andrew H. Fletcher, Isaac Asher, John T. Hwang. Large-Scale Multidisciplinary Design Optimization of the NASA Lift-Plus-Cruise Concept Using a Novel Aircraft Design Framework. VFS Autonomous VTOL Technical Meeting, Mesa AZ, Jan 24–26 2023; preprint arXiv:2304.14889, 2023.
    PDF
  72. Shaadi Sabeti, Thomas Nascenzi, Timothy Cuatt, Tyler F. Winter, Marius L. Ruh, Darshan Sarojini, John T. Hwang. Generating Structural Weight Estimation Equations for a Category of UAM Aircraft. AIAA AVIATION 2023 Forum, 2023.
    DOIPDF
  73. 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
  74. Mark Sperry, Kavish Kondap, John T. Hwang. Automatic adjoint sensitivity analysis of models for large-scale multidisciplinary design optimization. AIAA AVIATION 2023 Forum, 2023.
    DOIPDF
  75. Rajashekar Swaminathan, Darshan Sarojini, John T. Hwang. Integrating MBSE and MDO through an Extended Requirements-Functional-Logical-Physical (RFLP) Framework. AIAA AVIATION 2023 Forum, 2023.
    DOIPDF
  76. Sebastiaan P. van Schie, John T. Hwang. Model Reduction of Isogeometric Shell Structures For Large-Scale Design Optimization. AIAA AVIATION 2023 Forum, 2023.
    DOIPDF
  77. Sebastiaan P. van Schie, Han Zhao, Jiayao Yan, Ru Xiang, John T. Hwang, David Kamensky. Solver-Independent Aeroelastic Coupling For Large-Scale Multidisciplinary Design Optimization. AIAA SCITECH 2023 Forum, 2023.
    DOIPDF
  78. 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
  79. Bingran Wang, Nicholas C. Orndorff, John T. Hwang. Optimally tensor-structured quadrature rule for uncertainty quantification. AIAA SCITECH 2023 Forum, 2023.
    DOIPDF
  80. Pengcheng Cao, John T. Hwang, Thomas R. Bewley, Falko Kuester. Mission-Oriented Trajectory Optimization for Search-and-Rescue Multirotor UAVs in Cluttered and GPS-Denied Environments. AIAA Aviation 2022 Forum, 2022.
    PDF
  81. Anugrah Jo Joshy, Jiayao Yan, John T. Hwang. A hybrid architecture for large-scale system design optimization of PDE-based models. AIAA SCITECH 2022 Forum, 2022.
    DOIPDF
  82. Jui-Te Lin, Cedric Girerd, Jiayao Yan, John T. Hwang, Tania K. Morimoto. A Generalized Framework for Concentric Tube Robot Design Using Gradient-Based Optimization. IEEE Transactions on Robotics, 2022.
    DOIPDF
  83. Nicholas C. Orndorff, John T. Hwang. Investigation of Optimal Air-Taxi Transition Profiles using Direct-Transcription Trajectory Optimization. AIAA AVIATION 2022 Forum, 2022.
    DOIPDF
  84. Sergio A. Sandoval, Ping Lu, John T. Hwang, Jeremy R. Rea, Ronald R. Sostaric. Multiple Optima in Abort Ascent during Lunar Powered Descent. AIAA SCITECH 2022 Forum, 2022.
    DOIPDF
  85. Bingran Wang, Mark Sperry, Victor E. Gandarillas, John T. Hwang. Efficient Uncertainty Propagation Through Computational Graph Modification and Automatic Code Generation. AIAA Aviation 2022 Forum, 2022.
    PDF
  86. Bingran Wang, Anugrah Jo Joshy, John T. Hwang. Equality-Constrained Engineering Design Optimization Using a Novel Inexact Quasi-Newton Method. AIAA Journal, 2022.
    DOIPDF
  87. Jiayao Yan, John T. Hwang. A frequency-domain-inspired reformulation of the unsteady vortex lattice method. AIAA AVIATION 2022 Forum, 2022.
    DOIPDF
  88. Jiayao Yan, Ru Xiang, David Kamensky, Michael T. Tolley, John T. Hwang. Topology optimization with automated derivative computation for multidisciplinary design problems. Structural and Multidisciplinary Optimization, 2022.
    DOIPDF
  89. Han Zhao, Xiangbei Liu, Andrew H. Fletcher, Ru Xiang, John T. Hwang, David Kamensky. An open-source framework for coupling non-matching isogeometric shells with application to aerospace structures. Computers & Mathematics with Applications, 2022.
    DOIPDF
  90. Thomas Backhaus, Sebastian Gottfried, Andrei Merle, John T. Hwang, Arthur Stueck. Modularization of High-Fidelity Static Aeroelastic MDO Enabling a Framework-based Optimization Approach for HPC. AIAA Scitech 2021 Forum, 2021.
    DOIPDF
  91. Anugrah Jo Joshy, John T. Hwang. Unifying Monolithic Architectures for Large-Scale System Design Optimization. AIAA Journal, 2021.
    DOIPDF
  92. Marius L. Ruh, John T. Hwang. Robust modeling and optimal design of rotors using blade element momentum theory. AIAA AVIATION 2021 FORUM, 2021.
    DOIPDF
  93. Bingran Wang, Anugrah Jo Joshy, John T. Hwang. An Adaptive, Inexact Gradient-based Algorithm for Multidisciplinary Design Optimization. AIAA AVIATION 2021 FORUM, 2021.
    DOIPDF
  94. Jiayao Yan, Mark Sperry, David Kamensky, John T. Hwang. Dynamic topology optimization of battery packs for eVTOL aircraft under time-dependent loading. AIAA AVIATION 2021 FORUM, 2021.
    DOIPDF
  95. Tae H. Ha, Keunseok Lee, John T. Hwang. Large-scale multidisciplinary optimization under uncertainty for electric vertical takeoff and landing aircraft. AIAA Scitech 2020 Forum, 2020.
    DOIPDF
  96. Anugrah Jo Joshy, John T. Hwang. A new architecture for large-scale system design optimization. AIAA AVIATION 2020 FORUM, 2020.
    DOIPDF
  97. Ning Li, John T. Hwang. Automatic generation of global shell-element meshes for large-scale structural design optimization. AIAA AVIATION 2020 FORUM, 2020.
    DOIPDF
  98. Alessandro Sgueglia, Peter Schmollgruber, Nathalie Bartoli, Emmanuel Benard, Joseph Morlier, John Jasa, Joaquim R. R. A. Martins, John T. Hwang, Justin S. Gray. Multidisciplinary Design Optimization Framework with Coupled Derivative Computation for Hybrid Aircraft. Journal of Aircraft, 2020.
    DOIPDF
  99. Mohamed Amine Bouhlel, John T. Hwang, Nathalie Bartoli, Rémi Lafage, Joseph Morlier, Joaquim R.R.A. Martins. A Python surrogate modeling framework with derivatives. Advances in Engineering Software, 2019.
    DOIPDF
  100. Hayoung Chung, John T. Hwang, Justin S. Gray, H. Alicia Kim. Topology optimization in OpenMDAO. Structural and Multidisciplinary Optimization, 2019.
    DOIPDF
  101. Justin S. Gray, John T. Hwang, Joaquim R. R. A. Martins, Kenneth T. Moore, Bret A. Naylor. OpenMDAO: an open-source framework for multidisciplinary design, analysis, and optimization. Structural and Multidisciplinary Optimization, 2019.
    DOIPDF
  102. John T. Hwang, John P. Jasa, Joaquim R. R. A. Martins. High-Fidelity Design-Allocation Optimization of a Commercial Aircraft Maximizing Airline Profit. Journal of Aircraft, 2019.
    DOIPDF
  103. Shamsheer S. Chauhan, John T. Hwang, Joaquim R. R. A. Martins. An automated selection algorithm for nonlinear solvers in MDO. Structural and Multidisciplinary Optimization, 2018.
    DOIPDF
  104. Hayoung Chung, John T. Hwang, Justin S. Gray, Hyunsun A. Kim. Implementation of topology optimization using openMDAO. 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018.
    DOIPDF
  105. John T. Hwang, Joaquim R.R.A. Martins. A Computational Architecture for Coupling Heterogeneous Numerical Models and Computing Coupled Derivatives. ACM Transactions on Mathematical Software, 2018.
    DOIPDF
  106. John T. Hwang, Joaquim R.R.A. Martins. A fast-prediction surrogate model for large datasets. Aerospace Science and Technology, 2018.
    DOIPDF
  107. John T. Hwang, Andrew Ning. Large-scale multidisciplinary optimization of an electric aircraft for on-demand mobility. 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018.
    DOIPDF
  108. John P. Jasa, John T. Hwang, Joaquim R. R. A. Martins. Design and Trajectory Optimization of a Morphing Wing Aircraft. 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018.
    DOIPDF
  109. John P. Jasa, John T. Hwang, Joaquim R. R. A. Martins. Open-source coupled aerostructural optimization using Python. Structural and Multidisciplinary Optimization, 2018.
    DOIPDF
  110. John T. Hwang, Drayton Munster. Solution of ordinary differential equations in gradient-based multidisciplinary design optimization. 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018.
    DOIPDF
  111. Mohammad Shahabsafa, Ali Mohammad-Nezhad, Tamás Terlaky, Luis Zuluaga, Sicheng He, John T. Hwang, Joaquim R. R. A. Martins. A novel approach to discrete truss design problems using mixed integer neighborhood search. Structural and Multidisciplinary Optimization, 2018.
    DOIPDF
  112. John T. Hwang. Reconfigurable model execution in the OpenMDAO framework. 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2017.
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  113. Satadru Roy, Kenneth Moore, John T. Hwang, Justin S. Gray, William A. Crossley, Joaquim R. R. A. Martins. A Mixed Integer Efficient Global Optimization Algorithm for the Simultaneous Aircraft Allocation-Mission-Design Problem. 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017.
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  114. Alp Dener, Pengfei Meng, Jason E. Hicken, Graeme Kennedy, John Hwang, Justin S. Gray. Kona: A Parallel Optimization Library for Engineering-Design Problems. 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2016.
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  115. John Hwang, Joaquim R. R. A. Martins. Allocation-mission-design optimization of next-generation aircraft using a parallel computational framework. 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2016.
    DOIPDF
  116. John T. Hwang, Joaquim R.R.A. Martins. An unstructured quadrilateral mesh generation algorithm for aircraft structures. Aerospace Science and Technology, 2016.
    DOIPDF
  117. Joaquim R. R. A. Martins, John T. Hwang. Multidisciplinary Design Optimization of Aircraft Configurations — Part 1: A Modular Coupled Adjoint Approach. Von Karman Institute for Fluid Dynamics Lecture Series, Sint-Genesius-Rode, Belgium, May 2016, 2016.
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  118. John T Hwang, Craig A Steeves. Optimization of 3D lattice cores in composite sandwich structures. Journal of Composite Materials, 2015.
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  119. John T. Hwang, Joaquim R. R. A. Martins. Parallel allocation-mission optimization of a 128-route network. 16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2015.
    DOIPDF
  120. John Hwang, Satadru Roy, Jason Kao, Joaquim R. R. A. Martins, William A. Crossley. Simultaneous aircraft allocation and mission optimization using a modular adjoint approach. 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2015.
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  121. Davide Ivaldi, Ney R. Secco, Song Chen, John T. Hwang, Joaquim R. R. A. Martins. Aerodynamic Shape Optimization of a Truss-Braced-Wing Aircraft. 16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2015.
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  122. Jason Kao, John Hwang, Joaquim R. R. A. Martins, Justin S. Gray, Kenneth T. Moore. A modular adjoint approach to aircraft mission analysis and optimization. 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2015.
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  123. Justin S. Gray, Tristan A. Hearn, Kenneth T. Moore, John Hwang, Joaquim R. R. A. Martins, Andrew Ning. Automatic Evaluation of Multidisciplinary Derivatives Using a Graph-Based Problem Formulation in OpenMDAO. 15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2014.
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  124. John T. Hwang. Efficient and Scalable Computational Design of a Small Satellite. 28th AIAA/USU Conference on Small Satellites, 2014; SSC14-VIII-6 (3rd place, student paper competition — per CV), 2014.
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  125. John Hwang, Gaetan Kenway, Joaquim R. R. A. Martins. Geometry and Structural Modeling for High-Fidelity Aircraft Conceptual Design Optimization. 15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2014.
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  126. John T. Hwang, Dae Young Lee, James W. Cutler, Joaquim R. R. A. Martins. Large-Scale Multidisciplinary Optimization of a Small Satellite’s Design and Operation. Journal of Spacecraft and Rockets, 2014.
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  127. John Hwang, Dae Young Lee, James Cutler, Joaquim R. R. A. Martins. Large-Scale MDO of a Small Satellite using a Novel Framework for the Solution of Coupled Systems and their Derivatives. 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2013.
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  128. Joaquim R. R. A. Martins, John T. Hwang. Review and Unification of Methods for Computing Derivatives of Multidisciplinary Computational Models. AIAA Journal, 2013.
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  129. John Hwang, Joaquim R. R. A. Martins. A Dynamic Parametrization Scheme for Shape Optimization Using Quasi-Newton Methods. 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, 2012.
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  130. John Hwang, Joaquim R. R. A. Martins. GeoMACH: Geometry-Centric MDAO of Aircraft Configurations with High Fidelity. 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2012.
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  131. John Hwang, Anthony Waas, Joaquim R. R. A. Martins. Micromechanical Modeling and Design Optimization of 2-D Triaxial Braided Composites. 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, 2012.
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  132. Joaquim Martins, John Hwang. Review and Unification of Methods for Computing Derivatives of Multidisciplinary Systems. 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA, 2012.
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