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News

Our work on GPU Acceleration of Monte Carlo Tallies on Unstructured Meshes in OpenMC was highlighted in the SciDAC FASTMath Institute Research Highlights for 2025. Read the preprint on arXiv.

About me

I develop high-performance computational methods for fusion and fission energy systems, with a focus on GPU-accelerated Monte Carlo tallying and multiphysics coupling.

I am a Ph.D. student in Mechanical Engineering at Rensselaer Polytechnic Institute (RPI) and a Research Assistant at the Lab for Accelerated Computing In Engineering and Science (LACES). My research focuses on developing transport and tally methods on distributed unstructured meshes and coupling them with complementary physics models for high-fidelity reactor simulation.

My recent work includes developing GPU-accelerated unstructured-mesh tallies in OpenMC with PUMI-Tally, advancing PCMS for multiphysics coupling, and contributing to coupled neutral-transport and plasma workflows involving codes such as DEGAS 2 and XGC. More broadly, I am interested in building robust computational frameworks for accurate and scalable fusion and fission reactor modeling.

Education

2023 — Present

PhD in Mechanical Engineering

Rensselaer Polytechnic Institute

2021 — 2022

MSc in Nuclear Engineering

University of Dhaka

2016 — 2021

BSc in Nuclear Engineering

University of Dhaka

Experience

Aug 2022 — Apr 2023

Field Application Engineer

NATS Inc. · Dhaka, Bangladesh

Responsibilities include:

  • Installation, commissioning, and training of NATS products
  • Technical support to customers
  • Preparation of technical proposals

Professional Development

Jul 2025 — Aug 2025

Argonne Training Program on Extreme-Scale Computing (ATPESC)

Argonne National Laboratory

Sep 2022

Joint ICTP-IAEA Course on Theoretical Foundations and Application of Computational Fluid Dynamics in Nuclear Engineering

ICTP

May 2022

Joint ICTP-IAEA Advanced School/Workshop on Computational Nuclear Science and Engineering

ICTP