
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.
Stanford’s award-winning climate actions and energy efficiency received the following notable recognitions:
The Stanford Energy System Innovations (SESI) project encompassed updates to more than 155 buildings on campus, and transformed the energy supply from one based on fossil fuels to an electrically-powered heat recovery system.

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.