Research

Research Interests

Dimensionality reduction, feature selection, big data analysis, machine learning and large language models.

Publications

• Exploring RAG Solutions to Reduce Hallucinations in LLMs - [Submitted]
• Advancing hydrogen storage predictions in metal-organic frameworks: A comparative study of LightGBM and random forest models with data enhancement - 2024
• Advanced EOR screening methodology based on LightGBM and random forest: A classification problem with imbalanced data - 2024
• Optimizing feature selection methods by removing irrelevant features using sparse least squares - 2022
• Dimensionality reduction using singular vectors - 2021
• Incorporating behavior in attribute based access control model using machine learning - 2021
• High-dimensional feature selection for genomic datasets - 2020
• Canadian wetland inventory using Google Earth Engine: The first map and preliminary results - 2019
• A generalized supervised classification scheme to produce provincial wetland inventory maps: An application of Google Earth Engine for big geo data processing - 2019
• An attribute based access control framework for healthcare system - 2018