
Project: Using Machine Learning for Calculating Construction Emissions
Ponsu Muthuraman ’26 evaluated the use of a machine learning tool to improve construction carbon emission estimation.
The Stanford Energy System Innovations (SESI) program encompassed infrastructure updates to more than 155 buildings on campus and completely transformed the university’s energy supply. Below is a complete list of recognitions related to this energy metamorphosis.

Ponsu Muthuraman ’26 evaluated the use of a machine learning tool to improve construction carbon emission estimation.

Danica Sun ’28 explored smarter resource use for one of Stanford’s major computing clusters.

Rachel Porter, PhD candidate, investigated alternatives for reducing reliance on Stanford’s natural gas-fired steam plant.