Power Shift: How CMU Is Leading America’s Energy Evolution
In the heart of Pittsburgh, a quiet revolution is underway.
Carnegie Mellon University, long known for its prowess in computer science and engineering, is now emerging as a key innovator within America’s energy landscape. As AI models grow more powerful, so too does their appetite for energy, straining an aging and outdated grid and prompting urgent questions about infrastructure, security and access. From reimagining AI data centers to modernizing and securing the electric grid, CMU researchers are working on practical solutions to pressing challenges in how the U.S. produces, moves and secures energy.
Learn what CMU experts have to say about their Work That Matters.
Connect With:
Associate Professor and Director of Machine Learning
Zico Kolter researches how to make deep learning algorithms more robust, safer, and understand how data impacts how models function.
- Articifical Intelligence
- AI Models
- Machine Learning
- Deep Learning
- Neural Networks
- Large Language Models, Generative AI
- Elections
University Professor
Granger Morgan's research addresses problems in science, technology and public policy.
- Quantitative Policy Analysis
- Risk Analysis
- Environmental Systems
- Climate Change
- Adoption of New Technologies
Professor, Electrical and Computer Engineering
Vyas Sekar seeks to develop more rigorous foundations for securing tomorrow’s electric energy grid
- Network Monitoring and Measurement
- Cybersecurity
- Information Networking
- Security and Systems
- Networking
- Network Security
- Distributed Systems
- Computer Security
- Content/Video Delivery Systems
- Middleboxes
- Energy Grid Security
Department Head Professor, Electrical and Computer Engineering
Larry Pileggi is a specialist in the automation of integrated circuits, and developing software tools for the optimization of power grids.
- Integrated Circuits
- Power Systems
- Secure Hardware
- Energy Grid Security