Christopher C. McComb
Affiliations: | Carnegie Mellon University, Pittsburgh, PA |
Area:
Design Methodology, Machine Learning, Engineering Education, Renewable Energy, Global OptimizationGoogle:
"Christopher McComb"Parents
Sign in to add mentorJon Cagan | grad student | 2012-2016 | (Neurotree) |
Kenneth Kotovsky | grad student | 2012-2016 | (Neurotree) |
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Publications
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Soria Zurita NF, Gyory JT, Balon C, et al. (2022) Data on the Human Versus artificial intelligence process management experiment. Data in Brief. 41: 107917 |
Zhang G, Soria Zurita NF, Stump G, et al. (2021) Data on the design and operation of drones by both individuals and teams. Data in Brief. 36: 107008 |
Raina A, McComb C, Cagan J. (2019) Learning to Design From Humans: Imitating Human Designers Through Deep Learning Journal of Mechanical Design. 141 |
McComb C, Cagan J, Kotovsky K. (2018) Data on the design of truss structures by teams of engineering students. Data in Brief. 18: 160-163 |
McComb C, Johnson NG, Santaeufemia PS, et al. (2018) Multi-objective optimization and scenario-based robustness analysis of the MoneyMaker Hip Pump Development Engineering. 3: 23-33 |
McComb C, Cagan J, Kotovsky K. (2017) Data on the configuration design of internet-connected home cooling systems by engineering students. Data in Brief. 14: 773-776 |
McComb C, Cagan J, Kotovsky K. (2017) Mining Process Heuristics From Designer Action Data via Hidden Markov Models Journal of Mechanical Design. 139 |
McComb C, Cagan J, Kotovsky K. (2017) Capturing Human Sequence-Learning Abilities in Configuration Design Tasks Through Markov Chains Journal of Mechanical Design. 139 |
McComb C, Cagan J, Kotovsky K. (2017) Optimizing Design Teams Based on Problem Properties: Computational Team Simulations and an Applied Empirical Test Journal of Mechanical Design. 139 |
McComb C, Cagan J, Kotovsky K. (2016) Drawing Inspiration from Human Design Teams for Better Search and Optimization: The Heterogeneous Simulated Annealing Teams Algorithm Journal of Mechanical Design, Transactions of the Asme. 138 |