Data Science2025

Energy Consumption Analysis of Web Applications Using Bayesian Modeling

Quantified how programming languages, web frameworks, and API endpoints differ in energy consumption.

Methodology

Log-scaling and standardization, Student-T Bayesian regression, validated via MCMC diagnostics and posterior predictive checks.

Findings

Found strong evidence that the C#/Razor framework consumed more energy than comparable frameworks.

Tools & Methods

PyMCMCMCBayesian Statistics
Election Survey: Data Anonymization and Privacy AnalysisDeveloping Robust Neural Network Models for Network Intrusion Detection