🎓 Ph.D. Student & Research Assistant at Texas Tech University
🌱 Focused on Green Supercomputing, AI and Machine Learning for Data Management, and HPC Architecture Design
🌐 Personal Website | ✉️ [email protected]

• 🌞 Renewable-Powered HPC Systems
  Researching workload optimization and cluster management for solar/wind-integrated computing (REPACSS).

• 💡 RISC-V Extension for Global Address Space
  Investigating memory access mechanisms and programming models for large-scale, memory-intensive applications (xBGAS).

• ⚡ High-Performance Computing (HPC)
  Working on energy-efficient execution, Slurm-based scheduling, MPI optimization, and HPL benchmarking.

• 🟢 REPACSS (NSF Project)
  Managing 132-node HPC cluster using renewable energy; developing tools for workflow management and energy-aware scheduling.

• 💾 xBGAS: Extended Base Addressing for HPC
  Developing micro-architecture extensions to the RISC-V ISA to enable scalable, global address spaces for efficient shared memory computing in HPC systems.

• 🧠 Slurm + GPU Power Profiling
  Profiling and monitoring GPU performance across 100+ nodes using Prometheus and DCGM.

• 📊 LLM-based Distributed Metadata Indexing
  Parallel MPI-based query framework for HDF5/netCDF datasets; enhances access to scientific data repositories.

• 🧪 MRI Brain Registration via VoxelMorph
  Deep learning for medical image registration using unsupervised methods and OASIS dataset.

• Fuel, 2022 (Impact Factor: 6.7) – Experimental investigations of the phase change impacts on flash boiling spray propagations and impingements
• ICLASS, 2021 – Experimental Investigations of Injector Internal Parameters Impact on Tip Wetting Using Laser-induced Fluorescence
• AEMPS, 2023 – Quantitative Factor Exploration Based on Insider Trading Detection (first-author)

HPC & Infrastructure

Programming & Scripting

Deep Learning & AI