People

Anugrah Jo Joshy

Postdoctoral scholar

Anugrah Jo Joshy

Develops large-scale optimization architectures and nonlinear-programming algorithms, with open-source implementations in modOpt and OpenSQP.

Education

  • PhD, Mechanical and Aerospace Engineering
    UC San Diego · 2019–present
  • MS, Mechanical and Aerospace Engineering
    UC San Diego · 2018–2019
  • BTech, Mechanical Engineering
    National Institute of Technology · 2016

Experience

  • Engineer
    Mahindra Auto Division R&D · 2016–2018

Papers

  1. 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
  2. Anugrah Jo Joshy, John T. Hwang. modOpt: A modular development environment and library for optimization algorithms. Advances in Engineering Software, 2026.
    DOIPDF
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. Bingran Wang, Anugrah Jo Joshy, John T. Hwang. Equality-Constrained Engineering Design Optimization Using a Novel Inexact Quasi-Newton Method. AIAA Journal, 2022.
    DOIPDF
  12. Anugrah Jo Joshy, John T. Hwang. Unifying Monolithic Architectures for Large-Scale System Design Optimization. AIAA Journal, 2021.
    DOIPDF
  13. Bingran Wang, Anugrah Jo Joshy, John T. Hwang. An Adaptive, Inexact Gradient-based Algorithm for Multidisciplinary Design Optimization. AIAA AVIATION 2021 FORUM, 2021.
    DOIPDF
  14. Anugrah Jo Joshy, John T. Hwang. A new architecture for large-scale system design optimization. AIAA AVIATION 2020 FORUM, 2020.
    DOIPDF