Sakib Rahman, Ph.D.

Postdoctoral Fellow @ Brookhaven National Laboratory Physicist & AI/ML Aficionado specializing in Particle Physics Simulations & HPC Infrastructure

ORCID iD: 0000-0001-6844-2786

🚀 Current Focus: ePIC & Electron-Ion Collider (BNL)

I currently serve as a Co-convener for the Physics and Detector Simulation Working Group and the Simulation Productions Working Group for the ePIC detector collaboration.

• Large-Scale Computing: Deploying automated workflows on the Open Science Grid, processing ~150 core years to generate ~150TB of physics data monthly.
• AI/ML in Physics: Applying Neural Networks for momentum reconstruction and Bayesian Optimization (scikit-learn) for detector geometry.
• GPU Acceleration: Developing GPU-accelerated simulations using Celeritas and NVIDIA OptiX to optimize electromagnetic and optical photon tracking.

🛠 Technical Arsenal

| Category | Tools & Technologies | | :--- | :--- | | Languages | Python C++ Bash | | Physics/Sim | GEANT4 DD4hep ROOT ACTS Celeritas EIC-Opticks | | ML & Data | Neural Networks Bayesian Optimization Scikit-learn Pandas | | Infrastructure | HPC/HTC Open Science Grid Docker HTCondor SLURM | | Workflow/DevOps | CI/CD Pipelines Spack Snakemake PanDA WMS Git |

🎓 Education & Background

• Ph.D. in Particle Physics | University of Manitoba (2022)
• B.Sc. Joint Honors (Physics & Math) | University of Manitoba (2015)

💡 Innovation & Entrepreneurship

• BNL Mini I-Corps Program: Exploring commercialization of NVIDIA OptiX-based frameworks for optical photon tracking.
• BNL Entrepreneurship Program: Validating value propositions for sub-picosecond timing synchronization.

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