Costa Samaras

Trustee Professor of Civil and Environmental Engineering Carnegie Mellon University

  • Pittsburgh PA

Costa Samaras's research focuses on the pathways to clean, climate-safe, equitable, and secure energy and infrastructure systems.

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Carnegie Mellon University

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Biography

Constantine (Costa) Samaras is the Director of the Carnegie Mellon University Scott Institute for Energy Innovation, the Trustee Professor of Civil and Environmental Engineering, and an Affiliated Faculty Member in the Department of Engineering and Public Policy. His research focuses on the pathways to clean, climate-safe, equitable, and secure energy and infrastructure systems. Costa analyzes how technologies and policies affect energy use and national security, resilience to climate change impacts, economic and equity outcomes, and life cycle environmental emissions and other externalities. He is a Founder and Director of both the Center for Engineering and Resilience for Climate Adaptation and the Power Sector Carbon Index. He is by courtesy, a faculty member in CMU's H. John Heinz III College of Information Systems and Public Policy. From 2021-2024, he served in the White House Office of Science and Technology Policy (OSTP) as the Principal Assistant Director for Energy, OSTP Chief Advisor for Energy Policy, and then OSTP Chief Advisor for the Clean Energy Transition, where he worked with the OSTP Director, Deputy Director for Industrial Innovation, and senior governmental leaders in coordinating Federal activities on U.S. energy policy, assessing energy technologies for meeting U.S. climate, resilience, equity, and security objectives, and aligning energy innovation systems to achieve U.S. climate commitments.

With more than two decades of experience in energy, transportation, and climate change, he has served on three National Academies Committees evaluating emerging energy technologies and earth systems research, served as the Chair of the ASCE Committee on Adaptation to a Changing Climate, and served on the Alternative Transportation Fuels and Technologies Committee the Energy Committee of the Transportation Research Board. He has published numerous studies examining electric and automated vehicles, renewable electricity, life cycle assessment, clean energy transitions and decarbonization policy, AI ethics, and climate resilience, in journals such as Nature, Proceedings of the National Academies of Sciences, Nature Climate Change, Environmental Research Letters, Climatic Change, and others. He was also a contributor to the 4th National Climate Assessment, and was one of the Lead Author contributors to the Global Energy Assessment.

Areas of Expertise

Transportation Systems
Autonomous Driving
Climate and Energy Decision Making
Engineering and Public Policy
Environmental Engineering

Media Appearances

AI could keep us dependent on natural gas for decades to come

MIT Technology Review  online

2025-05-20

AI could keep us dependent on natural gas. "The most important climate policymakers in the country right now are not in Washington. They’re in state capitals, and these are public utility commissioners,” said Costa Samaras (Scott Institute for Energy Innovation).

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‘It’s a huge loss’: Trump administration dismisses scientists preparing climate report

LA Times  online

2025-04-29

The Trump administration dismissed more than 400 experts who had started work on the latest National Climate Assessment report, saying the scope of the report was being reevaluated. "It’s a loss for taxpayers, it’s a loss for communities, it’s a loss for the environment. Not producing the report saves us basically nothing and costs us maybe everything,” said Costa Samaras (Wilton E. Scott Institute for Energy Innovation).

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CMU Energy Week Expands on Pittsburgh’s Expertise in AI and Energy

Blue Sky News  online

2025-03-17

“What is exciting about Energy Week this year is that we can, in true Carnegie Mellon fashion, say how do those two areas of the economy — which are very much the subject of people’s attention right now — intersect? And what does it mean for innovation and communities and society?” said Costa Samaras, director of the Wilton E. Scott Institute for Energy Innovation.

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Spotlight

1 min

Artificial Intelligence Makes Energy Demand More Complex — And More Achievable

In a 2024 paper, researchers from Carnegie Mellon University and machine learning development corporation Hugging Face found that generative AI systems could use as much as 33 times more energy to complete a task than task-specific software would. “The climate and sustainability challenge can be overwhelming in the amount of new clean technology that we have to deploy and develop, and the ways that the energy system has to evolve,” said Costa Samaras, head of the university-wide Wilton E. Scott Institute for Energy Innovation. “The scale of the challenge alone can be overwhelming to folks.” However, Carnegie Mellon University’s standing commitment to the United Nations' Sustainable Development Goals and its position as a nationally recognized leader in technologies like artificial intelligence mean that it is uniquely positioned to address growing concerns around energy demand, climate resilience and social good.

Costa Samaras

Social

Industry Expertise

Energy
Cleantech
Transportation/Trucking/Railroad
Education/Learning
Research

Education

Bucknell University

B.S.

Civil Engineering

1999

New York University

MPA

Public Policy

2004

Carnegie Mellon University

Ph.D.

Civil and Environmental Engineering and Engineering and Public Policy

2008

Affiliations

  • Center for Climate and Energy Decision Making
  • Wilton E. Scott Institute for Energy Innovation

Articles

Climate change impacts on future residential electricity consumption and energy burden: A case study in Phoenix, Arizona

Energy Policy

2023

Transitioning to an equitable electricity sector requires a deep understanding of a warming climate's impacts on vulnerable populations. A vital climate adaptation measure is deploying air-conditioning (AC), but AC use can increase household energy costs. We evaluate how a warming climate will affect regional energy equity by tying temperature projections with household temperature response functions derived from smart-meter electricity data in Phoenix, Arizona. We simulate future consumption changes under two climate change scenarios from 2020 to 2070, with and without AC efficiency upgrades.

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Environmental Science & Technology

Environmental Science & Technology

2024

The transportation sector is the largest emitter of greenhouse gas emissions (GHGs) in the United States. Increased use of public transit and electrification of public transit could help reduce these emissions. The electrification of public transit systems could also reduce air pollutant emissions in densely populated areas, where air pollution disproportionally burdens vulnerable communities with high health impacts and associated social costs. We analyze the life cycle emissions of transit buses powered by electricity, diesel, gasoline, and compressed natural gas and model GHGs and air pollutants mitigated for a transition to a fully electric U.S. public transit bus fleet using transit agency-level data.

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Estimating the potential for optimized curb management to reduce delivery vehicle double parking, traffic congestion and energy consumption

Transportation Research Part E: Logistics and Transportation Review

2024

We model an optimized curb parking reservation system and characterize conditions under which such a system can reduce delivery vehicle double parking, congestion and energy consumption. We implement an optimization model leveraging integer linear and mixed-integer linear programming parking slot assignment formulations to minimize double parking and build a queuing model to estimate lane obstruction congestion and energy effects. Using delivery data from Aspen, CO and Pittsburgh, PA, we find that, when arrival times are known at the start of the day, a single-space reservation system can eliminate 1–2 min of double parking per hour, on average, increasing 3–4 times when drivers have±5 minutes of arrival time flexibility.

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