Katie Whitefoot

Associate Professor Carnegie Mellon University

  • Pittsburgh PA

Katie Whitefoot’s research advances the theoretical foundations and computational modeling of engineering design and technology change.

Contact

Carnegie Mellon University

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Biography

Whitefoot’s research advances the theoretical foundations and computational modeling of engineering design and technology change in the context of market and regulatory systems to inform product development, manufacturing, and policymaking. Her research bridges methods in engineering design and economics to examine a variety of topics, including product variety and product-line design, transportation energy, environmental policies, consumer choice, and automation and parts consolidation in manufacturing.

Areas of Expertise

Product Design
Technical Innovation
Environmental Engineering
Additive Manufacturing
Consumer Behavior
Optimization
Advanced Vehicle Systems
Generative Manufacturing

Media Appearances

Gen Z and Millennials Favor EVs, Survey Shows — What Does That Mean for the Future of Gas-Powered Vehicles?

Yahoo! Finance  online

2023-08-09

“There are many policy incentives available that lower the cost of purchasing an EV,” said Kate Whitefoot, associate professor of mechanical engineering, engineering and public policy at Carnegie Mellon’s College of Engineering. “Not everyone is aware that many of these are available for used EVs as well, which may be attractive to Gen Z and millennials. The federal government offers a tax credit and many states offer additional rebates for purchasing used EVs as well as new EVs. “

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This Carnegie Mellon Researcher Says Tesla Started a Revolution by Advancing EV Performance Specs

Nautilius Magzine  online

2023-07-06

I caught up with Kate Whitefoot to find out. Whitefoot is both a mechanical engineer and a policy wonk at Carnegie Mellon University. She works at an impressive and ever-more-relevant intersection of ideas.

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Opinion | A Drive to Understand National Capabilities in Critical Technologies

The New York Times  online

2023-01-18

The team members Elsa Olivetti of M.I.T. and Kate Whitefoot of Carnegie Mellon are searching for strategies that would help both the environment and American jobs, such as domestic development of alternative battery chemistries and new techniques for recycling critical minerals.

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Media

Social

Industry Expertise

Energy
Consumer Goods
Manufacturing

Education

University of Michigan

Ph.D.

Design Science (mechanical engineering & economics)

2011

University of Michigan

M.S.

Mechanical Engineering

2008

University of Michigan:

B.S.

Mechanical Engineering

2006

Articles

Concurrent build direction, part segmentation, and topology optimization for additive manufacturing using neural networks

Journal of Mechanical Design

2023

Without an explicit formulation to minimize support structures, topology optimization may create complex shapes that require an intensive use of support material when additively manufactured. We propose a neural network-based approach to topology optimization that aims to reduce the use of support structures in additive manufacturing.

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Global Product Design Platforming: A Comparison of Two Equilibrium Solution Methods

Journal of Mechanical Design

2023

Global product platforms can reduce production costs through economies of scale and learning but may decrease revenues by restricting the ability to customize for each market. We model the global platforming problem as a Nash equilibrium among oligopolistic competing firms, each maximizing its profit across markets with respect to its pricing, design, and platforming decisions.

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Is Additive Manufacturing an Environmentally and Economically Preferred Alternative for Mass Production?

Environmental Science & Technology

2023

The manufacturing sector accounts for a large percentage of global energy use and greenhouse gas emissions, and there is growing interest in the potential of additive manufacturing (AM) to reduce the sector’s environmental impacts. Across multiple industries, AM has been used to reduce material use in final parts by 35–80%, and recent publications have predicted that AM will enable the fabrication of customized products locally and on-demand, reducing shipping and material waste.

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