Anand Vijay Karuppiah

Global Engineering and Materials, Inc.

Princeton, NJ

I am a Research Engineer at Global Engineering and Materials, Inc., working on computational mechanics, multiphysics simulation, and digital twin development for aerospace and defense programs.

My work focuses on coupled thermomechanical FEA, residual stress and distortion modeling, composite micromechanics, and simulation automation — translating physics-based and data-driven models into validated engineering tools. Recent efforts include digital twin frameworks for advanced manufacturing and physics-informed ML surrogates for materials prediction.

I hold an M.S. from Wichita State University and have over a decade of R&D experience across SBIR programs and industry collaborations with partners including NASA, NIAR, and Spirit AeroSystems.

Always open to a chat or collaboration — feel free to reach out by email.

selected publications

AIAA SciTech

SMARTCLAVE: A High-Fidelity Digital Twin for Predicting Process-Induced Local Defects and Distortion of Autoclave-Cured Composite Parts

Kalyan Shrestha, Anand Vijay Karuppiah, Jim Lua, and 4 more authors

In AIAA SCITECH 2026 Forum, 2026

Bib

@inproceedings{shrestha2026smartclave,
  title = {{SMARTCLAVE}: A High-Fidelity Digital Twin for Predicting Process-Induced Local Defects and Distortion of Autoclave-Cured Composite Parts},
  author = {Shrestha, Kalyan and Karuppiah, Anand Vijay and Lua, Jim and Walthers, M. and Yan, Jinhui and Guay, I. and Phan, Nam D.},
  booktitle = {AIAA SCITECH 2026 Forum},
  year = {2026},
}

AIAA SciTech

High-Fidelity Progressive Damage Predictions of Composite T-Joints with Seeded Defects in CB2ATA

Anand Vijay Karuppiah, Rui Li, Vinay Goyal, and 1 more author

In AIAA SCITECH 2026 Forum, 2026

Bib

@inproceedings{karuppiah2026tjoints,
  title = {High-Fidelity Progressive Damage Predictions of Composite {T}-Joints with Seeded Defects in {CB2ATA}},
  author = {Karuppiah, Anand Vijay and Li, Rui and Goyal, Vinay and Lua, Jim},
  booktitle = {AIAA SCITECH 2026 Forum},
  year = {2026},
}

Compos. A

A coupled data-physics computational framework for temperature, residual stress, and distortion modeling in autoclave process of composite materials

Y. Xu, Z. Zhao, Kalyan Shrestha, and 5 more authors

Composites Part A: Applied Science and Manufacturing, 2024

Bib

@article{xu2024autoclave,
  title = {A coupled data-physics computational framework for temperature, residual stress, and distortion modeling in autoclave process of composite materials},
  author = {Xu, Y. and Zhao, Z. and Shrestha, Kalyan and Seneviratne, Waruna and Liyanage, S. and Palliyaguru, U. and Karuppiah, Anand Vijay and others},
  journal = {Composites Part A: Applied Science and Manufacturing},
  year = {2024},
}

Comput. Mech.

Computational multi-phase convective conjugate heat transfer on overlapping meshes: a quasi-direct coupling approach via Schwarz alternating method

Z. Zhao, Q. Zhu, Anand Vijay Karuppiah, and 4 more authors

Computational Mechanics, 2023

Bib

@article{zhao2023schwarz,
  title = {Computational multi-phase convective conjugate heat transfer on overlapping meshes: a quasi-direct coupling approach via {Schwarz} alternating method},
  author = {Zhao, Z. and Zhu, Q. and Karuppiah, Anand Vijay and Stuebner, M. and Lua, Jim and Phan, Nam D. and Yan, Jinhui},
  journal = {Computational Mechanics},
  year = {2023},
}