Complete Academic Dossier Work Authorization: U.S. Lawful Permanent Resident (U.S. Person; ITAR/EAR-eligible)

Partha Pratim Das, Ph.D.

Research Scientist II • Institute for Predictive Performance Methodologies, UT Arlington Research Institute

Arlington, TX, USA • (682) 259 8735 / (817) 272-5783 • [email protected] • www.parthapratimdas.site • LinkedIn/partha-pratim-das

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226 Citations (Google Scholar)

9 h-index

8 i10-index

24 Peer-Reviewed Publications

Jump to: Summary Education Technical Skills Experience Journal Publications Conference Presentations Co-Authored Papers Awards & Honors Certifications Service & Leadership Mentorship (13) Peer Review Relevant Projects

Executive Summary

Ph.D. in Mechanical Engineering specializing in advanced aerospace materials, multiphysics FEA (COMSOL, Abaqus), and physics-informed machine learning (PyTorch, NVIDIA Modulus) for structural health monitoring and materials durability. Built novel experimental dielectric techniques and PINN models for diffusion/electromagnetics in composite systems; recognized by ASC, PHM Society, and SAMPE. Currently Research Scientist II at UTA Research Institute contributing to the US Air Force Research Laboratory (AFRL) Aerospace Materials Processing, Performance and Characterization (AMPPAC) program. U.S. Lawful Permanent Resident (LPR; ITAR/EAR-eligible).

Education

Ph.D. in Mechanical Engineering

The University of Texas at Arlington, TX, USA

Graduated: December 2025

CGPA: 3.929 / 4.00

Dissertation: A Multimodal Prediction Framework for Moisture Aging Assessment in Polymer Matrix Composites

Advisor: Dr. Rassel Raihan • Institute for Predictive Performance Methodologies (IPPM)

Relevant Courses:

Finite Element Methods, Machine Learning, Structural Dynamics, Analytical Methods in Engineering, Polymer Science and Engineering, Analysis of Materials, Advanced Metal Additive Manufacturing, Embedded Microcontroller Systems.

B.Sc. in Mechanical Engineering

Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh

2014 – 2018 (Graduated Oct 2018)

CGPA: 3.43 / 4.00

Undergraduate Thesis: Heat Transfer Performance of Internally Finned Tubes Using Water and Air

Technical Skills

Modeling & Machine Learning: COMSOL Multiphysics, Abaqus FEA, SolidWorks, Physics-Informed Neural Networks (PINNs), Neural Operators, NVIDIA Modulus / PhysicsNemo, PyTorch

Programming & Scientific Computing: Python (5+ years: PyTorch, NumPy, SciPy, Pandas, Scikit-Learn), MATLAB, C/C++ (Embedded systems)

Nondestructive Evaluation (NDE): Broadband Dielectric Spectroscopy (BbDS), Ultrasound, Digital Image Correlation (DIC)

Characterization Techniques:

Mechanical: MTS UTM, Fiber Optics, High-Speed Imaging

Dielectric: BbDS, TSDC (Thermally Stimulated Depolarization Current)

Material Characterization: DSC, FTIR, Raman, XRD

Microscopy: SEM, AFM, C-AFM, KPFM, Optical Profilometry

NDEs: Ultrasound, Digital Image Correlation (DIC)

Coatings / Synthesis: Sputter Coating, CVD

Advanced Manufacturing: Polymer Composites (Compression Molding, Out-of-autoclave [OOA], VARTM), CNC Machining, Additive Manufacturing (3D Prototyping)

Writing / Presentation: Technical Papers, Funding Proposals, Conference Presentations, Progress Reports

Inter-Personal & Leadership: Effective communication, team leadership, research mentoring, and goal-oriented project management

Professional & Research Experience

Research Scientist II

Institute for Predictive Performance Methodologies (IPPM)

University of Texas at Arlington Research Institute (Fort Worth, TX)

January 2026 – Present Fort Worth, TX, US

Conducting active defense research under the US Air Force Research Laboratory (AFRL) Aerospace Materials Processing, Performance and Characterization (AMPPAC) program.
Directing experimental mechanics, broadband dielectric spectroscopy (BbDS), and multiphysics modeling of composite airframes under dynamic operating environments.
Authoring technical progress reports and high-impact peer-reviewed publications; mentoring graduate research assistants and undergraduate researchers.

Graduate Research Assistant

Institute for Predictive Performance Methodologies (IPPM)

University of Texas at Arlington Research Institute (Fort Worth, TX)

January 2020 – December 2025 Fort Worth, TX, US

Built a PINN framework (PyTorch, NVIDIA Modulus/PhysicsNemo) for coupled diffusion–electromagnetics in FRP composites; benchmarked vs COMSOL/Abaqus and dielectric data to validate field predictions and reduce simulation turnaround time.
Ran multiphysics studies (Abaqus, COMSOL) coupling diffusion, electrical, and mechanical fields; delivered parameter sensitivity analyses to guide processing and maintenance decisions.
Combined dielectric spectroscopy (BbDS/TSDC) with ML regressors to predict moisture-driven degradation; produced analysis scripts in Python for reproducible pipelines.
Published 15+ peer-reviewed papers (150+ citations, h-index: 9, i10-index: 7) on composites, SHM, and multiphysics modeling across leading international journals.

Graduate Teaching Assistant

Department of Mechanical and Aerospace Engineering

The University of Texas at Arlington, Arlington, TX, US

January 2020 – December 2025 Arlington, TX, US

Courses taught/assisted: Experimental Methods and Measurements, Solid Mechanics, Engineering Statics.
Prepared problem-solving lectures, mentored undergraduate students in laboratory experiments, grading assignments, and proctoring examinations.

Research Assistant

Department of Mechanical Engineering, BUET

Bangladesh University of Engineering and Technology (Dhaka, Bangladesh)

Fall 2018 – Fall 2019

Fabrication and characterization of composite particleboards from indigenous agricultural and household wastes and manufacturing process optimization.

Awards & Honors

2025

Winner, ASC 4-Minute Doctoral Research Impact Competition

American Society for Composites (ASC) 40th Annual Technical Conference

2025

Winner, ASC PhD Research Scholarship Award

American Society for Composites (ASC)

2021 – 2025

Professor Wen Chen Memorial Endowed Scholarship

Achievement of Remarkable Heights in Composite Research, UT Arlington

2023

Most Novel Contributions Award

Prognostics and Health Management (PHM) Society Doctoral Symposium

2021 – 2025

Office of Graduate Studies Travel Grant

University of Texas at Arlington

Professional Certifications

Neural Networks and Deep Learning

DeepLearning.ai via Coursera

Comprehensive specialization covering foundational neural network architectures, vectorization, backpropagation, and deep learning implementations in Python and PyTorch.

Professional Service & Leadership

Category Chair — Sustainability and Recycling

American Society for Composites (ASC) Conference 2026 • Madison, WI

Overseeing technical session planning, paper recruitment, peer review coordination, and session execution.

Category Chair — Design, Analysis and Simulation

Composites and Advanced Materials Expo (CAMX 2026) • Atlanta, GA

Recruitment and review of technical manuscripts on computational mechanics and simulation.

Category Chair — Design, Analysis and Simulation

Composites and Advanced Materials Expo (CAMX 2025) • Orlando, FL

Abstract/paper recruitment, technical paper reviews.

Category Chair — Structural Health Monitoring, Inspection and Repair

SAMPE 2023 Technical Conference • Seattle, WA

Abstract/paper recruitment, technical paper reviews, education session reviews, and running the session during the conference.

Vice President — SAMPE Student Chapter at UTA

July 2021 – Present

Organizing technical talks, industry tours, and seminars involving guest speakers from academia and the aerospace composite sector.

Journal Publications

Google Scholar →

1. Das, P. P., Vadlamudi, V., Rabby, M. M., Jain, A., Mollenhauer, D., & Raihan, R. (2025). Multiscale-Multiphysics Modeling of Moisture Absorption-induced Dielectric Evolution in Polymeric Composites. Composites Science and Technology, 111433. doi:10.1016/j.compscitech.2025.111433

2. Das, P. P., Rabby, M. M., Vadlamudi, V., & Raihan, R. (2022). Moisture Content Prediction in Polymer Composites Using Machine Learning Techniques. Polymers, 14(20), 4403. doi:10.3390/polym14204403

3. Das, P. P., Vadlamudi, V., & Raihan, R. (2022). Dielectric state variables as qualitative indicators of moisture absorption-caused mechanical property degradation in GFRP composite structures. Composites Part C: Open Access, 9, 100295. doi:10.1016/j.jcomc.2022.100295

4. Das, P. P., Elenchezhian, M. R. P., Vadlamudi, V., Reifsnider, K., & Raihan, R. (2021). RealPi2dDIC: A Low-cost and open-source approach to in situ 2D Digital Image Correlation (DIC) applications. SoftwareX, 13, 100645. doi:10.1016/j.softx.2020.100645

5. Elenchezhian, M. R. P., Das, P. P., Rahman, M., Vadlamudi, V., Raihan, R., & Reifsnider, K. (2021). Stiffness degradation in fatigue life of composites using dielectric state variables. Composite Structures, 273, 114272.

6. Pushparaj S, S., Das, P. P., Raihan, R., & Prabhakar, P. (2025). Moisture-Driven Morphology Changes in the Thermal and Dielectric Properties of TPU-Based Syntactic Foams. Polymers, 17(5), 691.

7. Rabby, M. M., Oni, T. H., Das, P. P., Vadlamudi, V., Hassen, A. A., & Raihan, R. (2025). Delamination-Informed Lifecycle Decisions: A Dielectric and Machine Learning Framework for Composite Sorting and Recycling. Composites Part B: Engineering, 113007.

8. Rabby, M. M., Das, P. P., Rahman, M., Vadlamudi, V., & Raihan, R. (2024). Fast and accurate prediction of cure quality and mechanical performance in fiber-reinforced polymer composite using dielectric variables and machine learning. Polymer Composites, 45(2), 1810-1825.

9. Rabby, M. M., Das, P. P., Rahman, M., Vadlamudi, V., & Raihan, R. (2022). Prepreg age monitoring and qualitative prediction of mechanical performance of composite using dielectric state variables. Polymers and Polymer Composites, 30, 09673911221145053.

10. Chowdhury, A. R., Rabby, M. M., Kabir, M., Das, P. P., Bhandari, R., Raihan, R., & Agonafer, D. (2021). A comparative study of thermal aging effect on the properties of silicone-based and silicone-free thermal gap filler materials. Materials, 14(13), 3565.

Conference Presentations (First Author)

1. Composites Damage Modeling from Dielectric Perspective: Physics-informed Neural Networks and Computational Approaches

ASC 40th Annual Technical Conference • October 2025

2. Unsupervised Learning of Damage Modes during Fatigue of Composites

ASC 39th Annual Technical Conference • October 2024

3. Physics Informed Neural Network (PINN) Utilization in Discovery of Diffusion–Electrical Cross–property Relation in Polymer Composites

AIAA SciTech 2024 Forum • January 2024

4. A Neural Network Framework for Predicting Durability and Damage Tolerance of Polymer Composites under Combined Hygrothermal-mechanical Loading

15th Annual Conference of the PHM Society • October 2023

5. Artificial Intelligence Assisted Residual Strength and Life Prediction of Fiber Reinforced Polymer Composites

AIAA SciTech 2023 Forum • January 2023

6. Coupled Effects in Dielectric and Thermal Properties of Polymer Matrix Composite Structures due to Moisture Absorption

SAMPE Annual Technical Conference • May 2022

7. Dielectric Analysis to Predict Moisture Absorption in Structural Composites: A Data-driven Approach

ASC 37th Annual Technical Conference • September 2022

8. Experimental study on the fabrication and mechanical properties of medium-density particleboards from coconut coir

13th International Conference on Mechanical Engineering (ICME 2019) • Dhaka, Bangladesh • December 2019

Secondary Author Conference Papers

1. Akter, S., Rahman, M., Das, P.P., Rabby, M. M., Rahman, M., Vadlamudi, V., & Raihan, R. (2024, April). Investigation of Thermally Stimulated Depolarization Current in Epoxy Polymers with Varied Morphology for the Characterization of Interfacial Relaxation Behavior. SAMPE 2025, Indianapolis, IN.

2. Akter, S., Rahman, M., Das, P.P., Rabby, M. M., Vadlamudi, V., & Raihan, R. (2024, April). Investigating the Synergistic Enhancement of Mechanical and Dielectric Properties in Composite Materials via the Incorporation of Carbon Dust into PAN-Based Electrospun Nanomaterials as Laminate Layers. ASME Aerospace Structures, Structural Dynamics, and Materials Conference, Seattle, WA.

3. Rabby, M. M., Rahman, M., Das, P. P., Vadlamudi, V., and Raihan, R. Carbon Fibers Recycling from Degraded Prepregs and Mechanical Properties or Recycled Composite. SAMPE Conference Proceedings, Seattle, WA, April 17-20, 2023.

4. Vadlamudi, V., Elenchezhian, M. R. P., Das, P. P., Raihan, R., & Reifsnider, K. (2020, September). Assessment of material state for predicting the durability of composites. Proceedings of the American Society for Composites—Thirty-fifth Technical Conference.

5. Rabby, M. M., Vadlamudi, V., & Raihan, R. (2022). A Data-Driven Mechanical Property Prediction in Epoxy/Glass Fiber Composite. Proceedings of The American Society For Composites-Thirty-Seventh Technical Conference.

6. Rabby, M. M., Rahman, M., Das, P. P., Elenchezhian, M. R. P., Qhobosheane, R. G., Vadlamudi, V., ... & Raihan, R. (2021). The Effect of Room-Temperature Aging on Enthalpy and Dielectric Property of Carbon-Fiber/Epoxy Composite Prepreg and the Mechanical Property of Manufactured Composite. SAMPE 2021 Virtual Conference Proceedings.

7. Rabby, M. M., Das, P. P., Rahman, M., Vadlamudi, V., & Raihan, R. (2022). The Effect of Plasma Treatment on The Cure Behavior of Out-of-Life Prepregs and An Investigation of The Mechanical Properties of Composite Parts Manufactured from Plasma-Treated Prepregs. SAMPE Conference Proceedings, Charlotte, NC, May 23-26, 2022.

Mentorship Experience

13 Students Mentored

1. Brian Shipman (Junior, UTA)

i-Engage Mentorship Program 2025

Project: Automated Spatial Measurement Approach for Composites Health Assessment using In-plane Dielectric Analysis.

Awarded through i-Engage Mentorship Program 2025, Office of Graduate Studies, UTA.

2. Cameron Price (Sophomore, UTA)

i-Engage Mentorship Program 2024

Project: Artificial Intelligence assisted Inspection and Structural Health Monitoring of Carbon Fiber Reinforced Polymer Composites.

Awarded through i-Engage Mentorship Program 2024, Office of Graduate Studies, UTA.

3. High School STEM Research Cohort

UTARI Summer 2024

Mentees: Jesus Aguire (Cassata Catholic High School), Ayshi Abed, Farris Syed, Fayek Syed (Colleyville Heritage High School).

Hands-on Training: Introduction to Python Programming Language, Composite Manufacturing and Testing. Organized by MSAS Lab-IPPM/UTARI Summer High School Research Program 2024.

Undergraduate Research Mentees & Career Placement:

4. Connor Berberek (Senior ME, UTA)

→ Current: PhD Student, MAE, UTA

5. Kian Mahroumi (Senior AE, UTA)

→ Current: Qarbon Aerospace, Red Oaks, TX

6. Felipe Alvarado (Senior AE, UTA)

→ Current: Lockheed Martin, Grand Prairie, TX

7. Sharif Sakif Hasan (Senior ME, UTA)

→ Current: Benchmark Group Inc., Dallas, TX

8. Monalisa Karim (Freshmen AE, UTA)

→ Current: Masters Student, MAE, UTA

9. Damon Latham (Freshmen AE, UTA)

→ Current: Project Manager II, J2 Building Consultants, Oregon

10. Bryan Durham (Junior AE, UTA)

→ Current: PhD Student, ME, University of Colorado Boulder, CO

11. Nicholas Proni (Senior ME, UTA)

Undergraduate Research Mentee

12. Rodrigue Kammogne Choula (Sophomore AE, UTA)

Undergraduate Research Mentee

13. Nataly Bolzan Daniela (Junior ME, UTA)

Undergraduate Research Mentee

Peer Review Experience

Journal Articles Reviewed

Major international journals

Elsevier, Springer Nature, PLOS ONE, MDPI, SAGE publications.

Conference Papers Reviewed

Aerospace and materials conferences

SAMPE, AIAA, CAMX, SSDM technical tracks.

Relevant Research Projects

Moisture Diffusion Analysis

Implementation of Physics-Informed Neural Networks (PINNs) using PyTorch and NVIDIA Modulus to model absorption and electromagnetics in composite materials.

Coupled Multiphysics Modeling

Conducted finite element studies in COMSOL and Abaqus on the interaction of diffusion, electrical, and mechanical phenomena in composites.

Data-driven Prediction

Combination of experimental and data-driven machine learning techniques to analyze dielectric properties for material degradation prediction.

Professional Memberships

American Society for Composites (ASC)

American Institute of Aeronautics and Astronautics (AIAA)

Society for the Advancement of Material and Process Engineering (SAMPE)

Creative & Web Experience

Promotional Video Direction and Editing, UTA Research Institute

Event Photography, UTA Research Institute

Web Development, Material State Assessment and Sustainability Lab (msaslab.uta.edu)

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