CV

Research Engineer — computational mechanics, multiphysics simulation, and digital twin development.

Contact Information

Name Anand Vijay Karuppiah
Professional Title Research Engineer · Computational Mechanics · Engineering AI/ML
Work Email avkaruppiah@gem-innovation.com
Personal Email haps.anand@gmail.com

Professional Summary

Research Engineer with over a decade of experience developing physics-based and AI/ML-enabled simulation software for aerospace, defense, and advanced manufacturing. Focus areas span coupled thermomechanical FEA, residual stress and distortion modeling, composite micromechanics, digital twin architecture, and LLM-assisted engineering automation — in active collaboration with NIAR, NASA, and other industry sponsors.

Skills

Engineering Simulation & CAD: Abaqus, MSC NASTRAN/PATRAN, MSC Marc, ANSYS, STAR-CCM+, HyperMesh, CATIA V5, SolidWorks
Programming: Python, Fortran, C++, MATLAB
ML / AI: Transformer-based language models, physics-informed surrogate modeling, scientific ML, LLM-assisted FEA automation
Software & HPC: Simulation automation pipelines, GUI tool development, HPC cluster workflows, parameterized job management, Git-based collaboration
Methods: Thermomechanical FEA, residual stress and distortion, composite damage (CDM, XFEM), RVE micromechanics, digital twin architecture, multiscale modeling

Experience

  • 2023 - present

    Princeton, NJ, USA

    Research Engineer — CAE Expert (R&D)
    Global Engineering and Materials, Inc.
    Lead CAE for digital twin and AI/ML-enabled engineering programs. Built end-to-end digital twin software framework with NIAR — integrating physics-based process simulation, sensor data, and validation workflows. Architected ML-powered software combining transformer language models with Abaqus-based simulation for polymer property prediction and inverse design. Delivered digital material generation toolkit predicting ply-level elastic, strength, and thermal properties of composites with explicit defect effects.
  • 2020 - 2022

    Princeton, NJ, USA

    Mechanical Engineer (R&D)
    Global Engineering and Materials, Inc.
    Built defect-aware composite simulation framework for aerospace structures — chaining global-to-local aircraft wing analysis, XFEM-based fatigue crack growth, CDM progressive damage, and CFD-driven thermal loading into a unified manufacturing-to- in-service-failure pipeline.
  • 2017 - 2019

    Princeton, NJ, USA

    Associate Material Engineer (R&D)
    Global Engineering and Materials, Inc.
    Characterized fabrication- and service-induced defects in composite materials. Built defect-informed geometry models and physics-based material models. Developed structural-level FE frameworks that explicitly incorporate process-induced defects for realistic performance prediction and design assessment of aerospace components.
  • 2014 - 2017

    Wichita, KS, USA

    Graduate Research Assistant
    Wichita State University
    Performed nonlinear FEA (MSC Marc, HyperMesh) and micro–macro multiscale modeling of composite honeycomb cores; developed custom FORTRAN subroutines for anisotropic hyperelastic creep. Executed full mechanical and thermal characterization (fatigue, fracture, SBS, DSC, CTE, stress relaxation) of composite panels and translated experimental outputs into validated FE model inputs.
  • 2011 - 2012

    Bangalore, India

    Engineering Intern — Design and Stress Analysis
    CEMILAC (DRDO)
    Performed structural FEA on low-pressure turbine blades using ANSYS. Computed margin of safety, evaluated design allowables, and analyzed stress concentrations from notch geometries (V-cut, U-cut) under representative aero loading conditions.

Honors and Awards

  • 2025
    Best Paper Award
    Vertical Flight Society — 81st Annual Forum & Technology Display

    For “Multi-Physics Modeling and Planning Tool for Tailoring of Quenching Process of Representative Airframe Structural Components” (Lua, Li, Shrestha, Karuppiah, Timko, Lund, 2025).

  • 2024
    Best Paper Award
    Vertical Flight Society — 80th Annual Forum and Technology Display

    For “Multi-Physics Modeling and Optimization Towards a Digital Twin of Quenching Processes of Large-Scale Metallic Structures” (Lua, Yan, Shrestha, Piccoli, Karuppiah, Phan, 2024).

  • 2016
    Special Research Fellowship
    Wichita State University — Graduate School

    Awarded for academic year 2015–2016 to represent the university at an international technical conference.

  • 2015
    3rd Place — Technical Paper Presentation
    AIAA Region V Paper Conference

    For “Cure Dependent Transverse Thermal Expansions for Continuous Fiber Reinforced Composites.”

Education

  • 2013 - 2016

    Wichita, KS, USA

    M.S.
    Wichita State University
    Aerospace Engineering
    • Master’s Thesis: Predicting the Influence of Weave Architecture on the Stress Relaxation Behavior of Woven Composites Using Finite Element-Based Micromechanics.
    • Multiscale (micro–macro) modeling of the viscoelastic response of woven composites using MSC Marc and HyperMesh, with focus on stress relaxation and creep for high-temperature aerospace applications.
  • 2008 - 2012

    Chennai, India

    B.E.
    Anna University, Chennai
    Aeronautical Engineering