Bio

Striving to become a material scientist with a keen interest in studying the applications of 2D materials (Graphene, MXenes, TMDs) for energy storage devices, such as supercapacitors and batteries, utilizing experimental and computational techniques.

I received my Bachelors degree in Materials and Metallurgical Engineering from Bangladesh University of Engineering and Technology, Dhaka, Bangladesh. Apart from academic studies, I actively participated in computational research projects, specilizing in Machine Learning, Computer Vision, and Molecular Dynamics simulations under the supervision of Dr. Saquib Ahmed, SUNY - Buffalo University, USA. Currently, I am pursuing my PhD in Chemical Engineering at Texas A&M Univeristy, College Station, Texas, USA.

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Education

• PhD in Chemical Engineering (Aug. 2025 - Present)
  • Texas A&M University, College Station, Texas, USA
• BSc in Materials and Metallurigical Engineering (April 2019 - July 2024)
  • Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

Professional Experience

• Graduate Teaching Assistant (Aug. 2025 - Present)
  • Artie McFerrin Department of Chemical Engineering
  • Texas A&M University, College Station, Texas, USA

Research Experience

• Undergraduate Researcher (Remote) (Jan. 2023 - July 2025)
  • Ahmed Research Group
  • PI & Group Lead: Dr. Saquib Ahmed, SUNY - Buffalo State University, New York, USA

Research Interests

• 2D Materials - MXenes, Graphene, TMDs
• Energy Storage - Batteries, Supercapacitors
• Electrochemistry
• Machine Learning & Computer Vision
• Molecular Dynamics Simulation
• Density Function Theory

Publications

Journal Articles

1. Sahriar, M. A., Rumman, A. H., Ullah, A., Barua, K., Monju, S. I., Jawad, M. S., Faisal, M. A., Ahsan, R. R., Jang, H. & Ahmed, S. Optical image analysis of WSe₂ – thresholding for layer detection. Computational Materials Science 253, 113888. https://dx.doi.org/10.1016/j.commatsci.2025.113888 (May 2025).
2. Rumman, A. H., Barua, K., Monju, S. I., Hasan Abed, M. R., Tan-Ema, S. J., Al-Sharab, J. F. & Ahmed, S. Classification of CoCr-based magnetic thin films via GLCM texture features extracted from EFTEM images and machine learning. AIP Advances 14, 115017. https://dx.doi.org/10.1063/5.0232442 (Nov. 2024).
3. Sahriar, M. A., Rumman, A. H., Abed, M. R. H., Nirjhar, A. R., Dipon, M. N. A., Tan-Ema, S. J., Jang, H. & Ahmed, S. Optical image analysis for graphene layer detection: Enhanced green channel methodology. Computational Materials Science 244, 113198. https://dx.doi.org/10.1016/j.commatsci.2024.113198 (Sept. 2024).
4. Rumman, A. H., Sahriar, M. A., Islam, M. T., Shorowordi, K. M., Carbonara, J., Broderick, S. & Ahmed, S. Data-driven design for enhanced efficiency of Sn-based perovskite solar cells using machine learning. APL Machine Learning 1, 046117. https://dx.doi.org/10.1063/5.0177271 (Dec. 2023).

Conference Presentation

1. Choudhary, A., Mohan, A., Sahriar, M. A., Rumman, A. H., Islam, M. T., Ahmed, S. & Efstathiadis, H. Machine learning assisted development of Sn/Pb free perovskites solar cells Conference session. Dec. 2023. Materials Research Society Symposium on Halide Perovskites-From Fundamentals to Applications, Boston, Massachusetts, USA.

Technical Skills

• Experimental Skills
  • Synthesis of MXene (Ti₃C₂T_x) from MAX Phase (Ti₃AlC₂)
  • Cold sintering of powder samples
  • Electrochemical characterization using Gamry Reference 3000AE:
    • Cyclic Voltammetry
    • Electrochemical Impedance Spectroscopy
    • Galvanostatic Charging-discharging
• Programming Languages
  • Python
  • C/C++
• Modeling & Analysis
  • Supervised machine learning, computer vision, and animation using Python
  • Structure analysis tools: Atomsk, OVITO, Vesta, VMD
  • Molecular dynamics simulation using LAMMPS
• Softwares
  • OriginLab
  • LabPlot
  • MS Office
  • $\LaTeX$

Awards & Achievements

• Dean’s List Scholarship, Bangladesh University of Engineering and Technology (2019)
• Technical Scholarship, Bangladesh University of Engineering and Technology (2019 - 2022)