Christopher McComb

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Associate Professor

Carnegie Mellon University

United States

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About

Christopher McComb is an Associate Professor at Carnegie Mellon University in the United States. His research interests span various areas, including data differencing, multi-lattice transitions in latent spaces, and engineering design processes. He has published extensively on topics such as the relationship between mindfulness and creativity, as well as frameworks for multidisciplinary design research. His recent work also addresses community resilience and infrastructure vulnerabilities in the context of climate change.

Recent Grants

Grant: Close

A Hybrid Computer Platform to Design, Guide, and Partner with Humans in the Team Problem-solving Process

Open Date: 2017-08-01

Close Date:

Grant: Close

Rapid Evaluation and Synthesis of Engineering Systems

Open Date: 2017-01-01

Close Date:

Articles (12)

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2025

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2025

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2025

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2025

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2021

Collaborators (2)

Vladimir Romanovsky

Professor

University of Alaska Fairbanks

UNITED STATES

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Ming Xiao

Professor of Civil Engineering

Pennsylvania State University

UNITED STATES

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Christopher McComb

Research Interests

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About

Recent Grants

Articles (12)

KeepDelta: A Python Library for Human-Readable Data Differencing

Smooth Like Butter: Evaluating Multi-lattice Transitions in Property-Augmented Latent Spaces

Taylor series error correction network for super-resolution of discretized partial differential equation solutions

Mind over modality? The impact of design representation on shared understanding in collaborative student engineering design

Toward a Permafrost Vulnerability Index for Critical Infrastructure, Community Resilience and National Security

Smoothing the Rough Edges: Evaluating Automatically Generated Multi-Lattice Transitions

Investigating the relationship between mindfulness, stress and creativity in introductory engineering design

Decoding the agility of artificial intelligence-assisted human design teams

A conceptual framework for multidisciplinary design research with example application to agent-based modeling

No time for that? An investigation of mindfulness and stress in first-year engineering design

A cautionary tale about the impact of AI on human design teams

The cognitive experience of engineering design: an examination of first-year student stress across principal activities of the engineering design process

Collaborators (2)

Vladimir Romanovsky

Ming Xiao

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