Publications

A collection of my research contributions in the fields of Deep Learning, NLP, and Remote Sensing.

Paper, Meet Code: Linking Research to Repositories

This research project focuses on a deep learning approach to automatically link scholarly articles with their official software repositories on GitHub. Key Contributions SPECTER Model: Utilized for extracting information from both academic articles and software repositories. Classification: Applied machine learning models, with LightGBM achieving high performance in binary classification tasks. Read the paper (2024)

Evolving Compact Prediction Model for PM2.5

Research on air pollution in Chiang Mai, specifically focusing on PM2.5 levels, which are a major contributor to health problems in the region. Project Highlights Analysis: Identified fire as a significant correlating factor influencing PM2.5 levels. Prediction: Developed a machine learning model to predict PM2.5 levels for the next 3 hours. Publication (2021)