Carnegie Mellon University

Environmental Engineering, Sustainability, and Science (EESS)

Sustainability addresses the capacity of society to improve quality of life while preserving the availability and quality of its natural resources. As the world’s population increases under the effects of climate change, engineers face new and evolving challenges with sustainability and the health of our natural and built environment.

The EESS research group aims to meet emergent and dynamic challenges of environmental stewardship and sustainability, and focuses on:

  • Water Resources Engineering, Science, and Sustainability
  • Water Treatment
  • Climate Change Adaptation, Smart Cities, Resilient Infrastructure
  • Energy Systems Analysis and Sustainability
  • Systems Modeling and Optimization (Water, Climate, Automation)
  • Data Analytics and Machine Learning
  • Nanotechnology and Biotechnology
  • Computational Social Science and Justice (Energy, Infrastructure, Smart Cities)
  • Environmental Risk Assessment and Decision-making
  • Remediation Engineering
  • Air Pollution Engineering, Science, and Modeling
  • Sustainable Materials and Computational Performance Modeling

EESS Research Faculty

New Environmental Engineering Lab

Examples of EESS research projects:

Plant Nanobiotechnology

Engineered nanomaterials (ENMs) and nanotechnology will be an important tool for making agriculture more resilient and sustainable.

We are working to understand how molecules can be used to deliver engineered nanomaterials to specific locations inside of plants and produce nano-enabled agrochemicals that safely and efficaciously promote plant health.


An Assessment of Environmental Sustainability of Mining and Mined Materials in the U.S.

This project looks at the sustainability of open-pit mining by evaluating the life-cycle of mined materials and dependancies of demand drivers such as population, GDP, and dematerialization to make projections about future sustainability.

Drinking Water Vulnerability to Coal Power Plant Wastewater Discharges

What happens when regulatory and tax incentives for improving air quality have unintended consequences on water? This project investigates how coal power plant wastewater discharges affect our drinking water sources by using geospatial and statistical modeling to quantify effects.

Forecasting and Evaluating Engineering Applications of Near-term Regional Climate Change

This research uses a statistical techniques to assess historical climate data to contribute to improved regional (city-scale) near-term climate projections.

The improved near-term forecasting technique can help bridge the gap between the climate information provided by the climate science community and practical applications in the engineering community.


Modeling Glaciers' Response to Climate Change

This project uses computational models and remote sensing data to project how changes in glacier mass and runoff will affect sea-level rise and freshwater availability through the end of the century.