Hello! I am Borhan Uddin Chowdhury.

PhD Student, Clemson University

I am a PhD student at Clemson University with research interests in data-driven engineering design. I am interested in connecting artificial intelligence (AI), computer-aided design (CAD), and computational modeling to predict engineering performance, explore design alternatives, and support informed design decisions.

I earned my MS in Mechanical Engineering from Texas State University in 2026, where my research focused on the dynamics of auxetic metastructured beams. Alongside my computational mechanics background, I have hands-on experience applying AI techniques to engineering problems. I aim to build on these skills through my doctoral research in data-driven design.

My background includes over eight years of engineering experience, including work as a Lead Turbine Control Engineer at Rooppur Nuclear Power Plant. My time in industry shapes how I approach research and keeps me connected to practical engineering challenges.

Throughout my studies, I’ve used Ansys for undergraduate research, Abaqus in graduate finite element analysis coursework, and COMSOL Multiphysics to study the behavior of metastructured beams.

Research Experience

Graduate Research Work, Texas State University

Research Supervisor: Dr. MD Raf E Ul Shougat, Dr. Karim Heinz Muci-Kuchler
Aug 2024 – July 2025

Development of DynaGence Lab
Nonlinear Vibration of Metamaterial Beam and Energy Harvesting (Ongoing)
Nonlinear Unimorph Shape Memory Alloy Actuator with Physical Intelligence (Ongoing)

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Undergraduate Research Work, BUET (Bangladesh University of Engineering and Technology)
Feb 2015 – Mar 2016

Research Project: “Modeling and Stress Analysis on Human Tibia Fibula”

Research Interest

Data-Driven Engineering Design, Artificial Intelligence, Computational Modeling, Dynamics, and Mechanical Metamaterials.

ML-DL Project

Low-Cost Sensor Fusion Framework for Organic Substance Classification and Quality Control Using Classification Methods

2025 IEEE International Conference on Future Machine Learning and Data Science (FMLDS)

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Publication

Chowdhury, B. U., Molina, D. V., & Shougat, M. R. E. U., "Low-Cost Sensor Fusion Framework for Organic Substance Classification and Quality Control Using Classification Methods," 2025 IEEE International Conference on Future Machine Learning and Data Science (FMLDS)

Ghosh, M., Chowdhury, B. U., Parvej, M. S., & Afsar, A. M., “Modeling and analysis of elastic fields in tibia and fibula,” AIP Conf. Proc., vol. 1919, no. December 2017, https://doi.org/10.1063/1.5018534

Conference Presentation

Chowdhury, B. U., Khan, M. S. U., Hasan, M. N., Perkins, E., & Shougat, M. R. E. U., “Nonlinear Dynamics of Auxetic Metastructured Cantilever Beams under Harmonic Excitation,” ASME International Mechanical Engineering Congress and Exposition (IMECE 2025), Memphis, Tennessee, 2025.

Chowdhury, B. U., Kennedy, S., & Perkins, E., Shougat, M. R. E. U., “Nonlinear Unimorph Shape Memory Alloy Actuator with Physical Intelligence,” ASME International Mechanical Engineering Congress and Exposition (IMECE 2025), Memphis, Tennessee, 2025.