Arif Akhter Rangon
College Station
Summary
Demonstrates strong analytical, communication, and teamwork skills, with proven ability to quickly adapt to new environments. Eager to contribute to team success and further develop collaborative research skills. Brings commitment to continuous learning and growth.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Peer Collaborator
Idaho National Laboratory
03.2023 - Current
- Conducted deterministic radiation‐transport simulations under DOE‐NEAMS/NEUP project using GRIFFIN software in
collaboration with Idaho National Laboratory. - Interfaced Neural Network in Pebble Tracking Transport algorithm in GRIFFIN that is used to generate multigroup cross section on the fly instead of using libraries.
Graduate Research Assistant
Texas A&M University
01.2023 - Current
- Developed neural network models in PyTorch to parameterize pebble‐bed multigroup cross sections as functions of neutron spectra and thermal–hydraulic conditions, under supervision of Dr.
Jean C. Ragusa. - Developed a methodology to generate a rich training dataset using Serpent Monte Carlo Code for the cross-section predictions with Neural Network.
Industrial Trainee
Bangladesh Atomic Energy Center
12.2019 - 01.2020
- Assisted in experimental design and plasma diagnostics at the Plasma Physics division in BAEC.
- Analyzed particle flux data and contributed to the safety‐protocol reports.
Education
Doctor of Philosophy - Nuclear Engineering
Texas A&M University
College Station, TX05.2025
Bachelor of Science - Nuclear Engineering
University of Dhaka
01.2022
Skills
- Proficient in Microsoft Office Suite, Overleaf/LaTeX and document processing
- Proficient in programming languages: C, C, Python, PyTorch, R and MATLAB
- Computational expertise in GRIFFIN, SERPENT, OpenFOAM and OpenMC
- Comfortable with Linux, MacOS and Windows
- Other skills: Docker, Git, Shell scripting
Undergraduate Thesis
- "To Study the Effects of a Single Bubble Formed in a Turbulent Channel Flow Using VOF Method in OpenFOAM", Supervised by: Md Mahidul Haque Prodhan, University of Dhaka, Bangladesh.
- Implemented volume‐of‐fluid (VOF) method for two-fluid mixture and post‐processed flow-field data in ParaView.
Publications & Articles
- M. H. Prodhan, M. H. Sahadath, A. A. Rangon, B.M. Rabby Hossain. 'A Review on Fukushima Nuclear Disaster and Recommendations for the Present and Future Nuclear Power Plant'; IOSR Journal of Applied Physics, 10(2), Pages: 44-51. (2018)
- U. M. Nabila, A. A. Rangon, M. H. Prodhan; 'Applications of Nuclear Technology, Bangladesh Perspective'; ENERZINE, Institute of Energy, University of Dhaka, ISSN 2518-6485, Issue 1, Vol 3, Page 61-69, (2023)
Certification
- Center for Teaching Excellence & Graduate and Professional School (CIRTL) Associate Fellow of Academy of Future Faculty, Texas A&M University, College Station, TX
Affiliations
- Student Member, American Nuclear Society (ANS)
Timeline
Peer Collaborator
Idaho National Laboratory
03.2023 - Current
Graduate Research Assistant
Texas A&M University
01.2023 - Current
Industrial Trainee
Bangladesh Atomic Energy Center
12.2019 - 01.2020
Doctor of Philosophy - Nuclear Engineering
Texas A&M University
Bachelor of Science - Nuclear Engineering
University of Dhaka
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