Aerospace Engineer & Computational Researcher

Jobin Kolliyil Joy, Ph.D.

Computational Mechanics · Aerospace Structures · R&D Leadership

From hypersonic morphing structures and shape memory alloys to Bayesian creep prediction — bridging physics-based simulation with data-driven modeling.

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Jobin Joy, Ph.D.
About Me

Aerospace Engineer. Materials Scientist. R&D Leader.

Industry & R&D

With over a decade of hands-on experience in aerospace structural analysis, finite element methods, and active materials engineering, I bring deep technical expertise to complex R&D challenges. At Los Alamos National Laboratory I led Bayesian-driven experimental design for high-temperature steel alloys, and I now head an FEA software development team at Ark2Tech, building modular computational solvers for pressure vessel and pipeline analysis.

Academia & Research

My PhD at Texas A&M (CGPA 3.9/4.0) under Prof. Dimitris Lagoudas focused on micromechanical modeling of NiTiHf shape memory alloys. A NASA-funded postdoc followed, applying SMA actuators to hypersonic morphing structures. Eight peer-reviewed journal papers, two Springer book chapters, and an h-index of 5 reflect a productive research career spanning micromechanics, crystal plasticity, and machine learning for materials.

8
Journal Papers
223
Citations
5
h-index
18+
Conference Talks
IIT Madras IISc Bangalore Texas A&M University Los Alamos National Laboratory Ark2Tech
USA Research Journey

A Decade of Research in America

From the NASA-funded labs of College Station, TX to the national security science of Los Alamos, NM.

Aug 2015 – May 2022

Texas A&M University — Ph.D. Researcher

Department of Aerospace Engineering, College Station, TX

Developed micromechanics-based constitutive models for precipitated NiTiHf shape memory alloys under Prof. Dimitris Lagoudas. Built validated simulation tools coupling phase-transformation mechanics with crystal plasticity frameworks.

SMA Micromechanics Crystal Plasticity NASA-funded AERO Excellence Fellow 2021 CGPA 3.9/4.0
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June 2022 – April 2023

Texas A&M University — Postdoctoral Researcher

Lagoudas SMA Research Group, College Station, TX

NASA-funded project on hypersonic morphing aircraft design using shape memory alloy actuators. Designed SMA-driven morphing wing structures capable of operating in extreme hypersonic thermal and aerodynamic environments.

NASA-funded Hypersonic Morphing SMA Actuators Aerospace Structures
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May 2023 – Jan 2026

Los Alamos National Laboratory — Postdoctoral Researcher

Materials Science & Technology Division, Los Alamos, NM

DOE-funded research on high-temperature deformation and creep of advanced steel alloys under Dr. Laurent Capolungo. Developed Bayesian experimental design frameworks and physics-informed neural network models for creep prediction. Contributed to national nuclear energy and materials resilience programs.

DOE-funded Bayesian Frameworks Creep & Radiation Neural Networks National Lab
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Expertise

Research & Technical Expertise

Spanning aerospace structures, advanced materials, and computational methods.

Aerospace Structures & Hypersonic Design

Structural analysis of aerospace systems, morphing wing design, FEA-based simulation of hypersonic aerothermal loads, and SMA-actuated adaptive structures for extreme environments.

Shape Memory Alloys & Active Materials

Constitutive modeling, experimental validation, and engineering application of SMAs including NiTi and NiTiHf systems. Expertise in phase transformation mechanics and thermo-mechanical coupling.

Micromechanics & Constitutive Modeling

Physics-based multi-scale models connecting microstructure (precipitates, grain morphology) to macroscopic structural response. Mori-Tanaka, self-consistent, and mean-field homogenization methods.

Crystal Plasticity & Radiation Effects

Crystal plasticity finite element (CPFE) modeling of deformation, creep, and radiation-induced damage in structural alloys. Calibration from micro-to-macro experimental data for nuclear material applications.

Data-Driven & ML Methods for Materials

Physics-informed neural networks, surrogate models, and deep learning approaches for material response prediction. Integration of data-driven methods with mechanics-based constitutive frameworks.

Bayesian Experimental Design & UQ

Sequential Bayesian optimal experimental design (BOED) for materials characterization. Uncertainty quantification (UQ) in computational models, parameter estimation, and model selection under uncertainty.

Technical Skills

Tools & Technologies

Programming & Scripting

Python MATLAB C Fortran

FEA & Simulation

ABAQUS ANSYS COMSOL ANSYS FLUENT Custom FEA Solvers

CAD & Design

SolidWorks CATIA Pro-E

ML & AI

Physics-Informed Neural Networks Bayesian Inference PyTorch / TensorFlow LLM-Assisted Development

R&D Leadership

Modular FEA Architecture Software Design Team Mentoring Grant Writing Technical Review (20+ manuscripts)

Aerospace Domain

Fracture Mechanics Composite Structures Nonlinear FEM Hypersonic Aerodynamics Thermal Management Pressure Vessel Design
Publications

Selected Publications

Peer-reviewed research in leading materials and mechanics journals.

2025

A neural network model for shape memory alloy actuation response with physical constraints for partial phase transformation

Journal of Intelligent Material Systems and Structures · Joy, Haghgouyan, Karakalas, Vasoya & Lagoudas
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2024

Rapid assessment of the creep rupture life of metals: A model enabling experimental design

International Journal of Plasticity · Joy, Talapatra, Rovinelli, Hoang, Mara & Capolungo
DOI
2024

A crystal-plasticity-informed Gaussian Process Regression model to capture anisotropy in single crystal shape memory alloys

Computational Materials Science · Joy, Chaugule, le Graverend & Lagoudas
DOI
2022

Effects of microstructure and composition on constitutive response of high temperature shape memory alloys: Micromechanical modeling using 3-D reconstructions with experimental validation

Acta Materialia · Joy, Umale, Zhao, Solomou, Xie, Karaman & Lagoudas
DOI
View all 8 journal papers, 2 book chapters & 18+ conference talks
Documents

Academic & Professional Documents

Available on request — use the contact form below and I'll send them directly.

Curriculum Vitae

Full academic and professional history, publications, awards, and service.

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Research Statement

Vision, ongoing projects, and future research directions in computational mechanics and materials.

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Teaching Statement

Philosophy on engineering education, hands-on learning, and mentoring future researchers.

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Get In Touch

Let's Connect

Open to Opportunities

Whether you're exploring research collaboration, faculty positions, industry R&D roles, or consulting on computational mechanics problems — I'd love to hear from you.

jobinkj1991@gmail.com
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Google Scholar
223 citations · h-index 5
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