Adjunct Faculty | GRCC
I specialize in Neural Networks, AI-driven Image Classification, Data Visualization, and Device Reliability & System Security. My work spans academia and industry, focusing on cutting-edge research and hands-on applications.
Designed an interactive dashboard using Python, Flask, JavaScript, D3.js, and AI models to visualize and analyze histopathology cancer data. Features include TSNE and MDS plots, correlation analysis, and real-time data interactions.
Launch DashboardDeveloped an interactive visualization using a concept map to map Linux system calls to their respective capabilities, enhancing security research and analysis. Conducted a comprehensive investigation of Linux capabilities and their impact on privileged operations, resulting in a detailed and complete mapping.
View Interactive MappingUsed Random Forests, Gradient Boosting, and Voting Regressor over novel features extracted from 2.9m sales data to predict future sales.
Applied ElasticNet Regularization, Lasso Regressor, and Kernel Ridge to predict movie revenue.
Experienced in teaching Digital Image Processing, AI, Data Visualization, Machine Learning, and Web Application Programming. My research focuses on AI, Neural Network, Image Processing and Secure Computing.