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Applied Mathematics  •  Computational Modeling  •  Additive Manufacturing

Nooshin Rajabi

PhD student in Mechanical Engineering at UMN, Twin Cities. I work at the intersection of AI and Additive Manufacturing.

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Portrait of Nooshin Rajabi

About me

Driven by Curiosity, Grounded in Rigor.

I am a PhD researcher in Mechanical Engineering at the University of Minnesota Twin Cities, specializing in Additive Manufacturing. My research focuses on optimizing metal additive manufacturing processes and understanding the process–structure–property relationships that govern material performance. Through this work, I aim to advance the reliability, efficiency, and broader adoption of additive manufacturing in modern production environments.

Prior to joining the University of Minnesota, I earned my master's degree in mechanical engineering with the minor in Computational Science from the University of Tennessee, Knoxville, where I developed a strong foundation in computational modeling, manufacturing, and engineering analysis. I worked at the intersection of large-scale additive manufacturing and physics-informed neural networks.

Originally from Tehran, I now call Tennessee home. Whether in the classroom, the research lab, or everyday life, I am driven by a love of learning and a commitment to helping others reach their full potential.

Current affiliation University of Minnesota, Twin Cities, Dept. of Mechanical Engineering
Nooshin Rajabi at her University of Tennessee graduation, standing before the Ayres Hall arch in an orange stole

Tehran · Knoxville · Minneapolis

Publications & Working Papers

Research

My research focuses on physics-informed machine learning for additive manufacturing, developing neural network models that combine thermal physics with data to enable rapid, accurate temperature prediction in large-scale AM. My broader interests span scientific machine learning, advanced materials, and data-driven materials design. Below are selected working papers, publications, and projects. Please contact me for drafts or further details.

2026
Under Review

Physics-informed Tandem Neural Network for Rapid and Accurate Temperature History Prediction in Polymer Composite Extrusion-based Large-Format Additive Manufacturing

Eonyeon Jo and Nooshin Rajabi, et al.

We propose a Physics-Informed Tandem Neural Network (PITNN) that couples an inverse model, inferring latent boundary conditions from a 30-second temperature observation, with a forward PINN to predict full temperature histories in large-format additive manufacturing. After fine-tuning on experimental data, the model achieves 2.2–2.5 °C mean absolute error (R² > 0.98) with a 2.3 ms inference time, enabling real-time layer time optimization and closed-loop thermal control.

SSRN ↗
2023
Journal Article

SCAPS Empowered Machine Learning Modelling of Perovskite Solar Cells: Predictive Design of Active Layer and Hole Transport Materials

Photonics, 10(3), 271

Combines SCAPS-1D device simulation with machine learning to predict how hole transport layers and perovskite active layers affect solar cell performance, identifying an FTO/SnO₂/FAPbI₃/CsSnI₃/Au architecture with a predicted efficiency above 24%.

DOI ↗
2023
Journal Article

Functionalization of Metal-Organic Frameworks with Metallic Nanoclusters for Ultra-Sensitive Monitoring of Morphine in Biological Fluids

Sensors and Actuators B: Chemical, 393, 134175

Reports an ultrasensitive electrochemical biosensor for morphine detection based on metal-organic frameworks decorated with silver nanoclusters and gold nanoparticles, achieving a detection limit of ~3 nM across a broad 0.05–600 µM range.

DOI ↗

Beyond Research

Service & Recognition

Honors & Awards

Dr. Abbas Ali and Mrs. Rowshan K. Daneshy Fellowship

2026–27

College of Science and Engineering, University of Minnesota

Mechanical Engineering Department Distinguished Scholar's Award

2026

$13,000 fellowship · University of Minnesota

Graduate Fellowship ($10,000/year)

2023–2025

Tickle College of Engineering, Department of Mechanical & Aerospace Engineering, University of Tennessee, Knoxville

Excellence in Community Engagement Award

2024

Graduate Student Senate, University of Tennessee, Knoxville

Academic Service

Peer Reviewer, Journal of Laser Applications

4 manuscripts · Verified on ORCID ↗

Senator, Graduate Student Senate

2024

MABE Department · University of Tennessee, Knoxville

Leadership & Outreach

Vice President, Iranian Student Association

2024–Present

Elected two consecutive years · Founded a Graduate Scholarship Fund providing financial support to students in need

Rocky Top Presidential Institute (RTPI) Leadership Program

2024

University of Tennessee, Knoxville

Open mathematics notebook with handwritten equations and a pencil — math tutoring

Math & Test Prep · All Levels

Tutoring & Mentorship

  • All levels welcome

    From elementary school math through high school algebra, calculus, and SAT/ACT prep, to undergraduate and graduate-level coursework.

  • Flexible scheduling

    Sessions available online via Zoom, or in person in the Minneapolis–St. Paul area. Weekly recurring slots and one-off exam prep sessions available.

  • Research-backed approach

    As an active researcher in applied mathematics, I bring deep conceptual understanding and mentor students in research thinking and problem-solving strategies.

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Curriculum Vitae

Download my CV

Nooshin Rajabi — Curriculum Vitae

My CV includes my academic background, research experience, publications, conference presentations, teaching history, and awards.

  • PDF format
  • Updated November 2025

Get in touch

Contact

Whether you have a question about my research, want to discuss tutoring, or just want to say hello, I'd love to hear from you.

Location

Minneapolis, Minnesota