Research

My work focuses on efficient ML systems (including browser/WebGPU inference), applied NLP, privacy policy analysis, and simulation-driven optimization.

Publications

2025

Smart Labeling and Pallet Simulation in Warehouse Optimization System

SoutheastCon

2025

MULISA: An mHealth and Speckle Contrast Optical Spectroscopy (SCOS) Integrated Platform for Stroke Screening and Cerebral Blood Flow Monitoring in Low-Resource Settings

SoftwareX

2025

GraphDPR: A Privacy Policy Analysis Framework Using Knowledge Graphs and Topic Modeling

ASONAM2025

2024

Accelerating Large Language Model Inference with WebGPU-Optimized Bidirectional Encoder Representation Architecture

IEEE Transactions on Emerging Topics in Computational Intelligence

2020

Research on String Matching Edit Distance Algorithm and Jaro-Winkler Distance

Springer

Research Interests

  • Efficient inference and optimization (WebGPU / browser ML)
  • Applied NLP (clinical text, event extraction, classification)
  • Privacy policy analysis (knowledge graphs, topic modeling)
  • Simulation and digital twins for logistics and operations
  • Healthcare systems & ML deployment