Christopher McComb
Christopher McComb
Associate Professor of Mechanical Engineering, Carnegie Mellon University
Verified email at cmu.edu - Homepage
Title
Cited by
Cited by
Year
Lifting the Veil: Drawing Insights about Design Teams from a Cognitively-inspired Computational Model
C McComb, J Cagan, K Kotovsky
Design Studies 40, 119-142, 2015
802015
Rolling with the Punches: An Examination of Team Performance in a Design Task Subject to Drastic Changes
C McComb, J Cagan, K Kotovsky
Design Studies 36, 99-121, 2015
672015
Optimizing Design Teams Based on Problem Properties: Computational Team Simulations and an Applied Empirical Test
C McComb, J Cagan, K Kotovsky
Journal of Mechanical Design, 2017
592017
Capturing Human Sequence-Learning Abilities in Configuration Design Tasks through Markov Chains
C McComb, J Cagan, K Kotovsky
Journal of Mechanical Design 139 (9), 2017
412017
Mining Process Heuristics from Designer Action Data via Hidden Markov Models
C McComb, J Cagan, K Kotovsky
Journal of Mechanical Design, 2017
402017
Learning To Design From Humans: Imitating Human Designers Through Deep Learning
A Raina, C McComb, J Cagan
ASME 2019 International Design Engineering Technical Conferences and …, 2019
302019
Learning To Design From Humans: Imitating Human Designers Through Deep Learning
A Raina, C McComb, J Cagan
Journal of Mechanical Design, 2019
302019
Utilizing Markov Chains to Understand Operation Sequencing in Design Tasks
C McComb, J Cagan, K Kotovsky
Eight International Conference on Design Computing and Cognition, 2016
302016
Design Repository Effectiveness for 3D Convolutional Neural Networks: Application to Additive Manufacturing
G Williams, NA Meisel, TW Simpson, C McComb
Journal of Mechanical Design, 2019
292019
Drawing Inspiration From Human Design Teams For Better Search And Optimization: The Heterogeneous Simulated Annealing Teams Algorithm
C McComb, J Cagan, K Kotovsky
Journal of Mechanical Design, 2016
222016
Transferring Design Strategies from Human to Computer and Across Design Problems
A Raina, J Cagan, C McComb
Journal of Mechanical Design, 2019
192019
Towards the Rapid Design of Engineered Systems Through Deep Neural Networks
C McComb
Eight International Conference on Design Computing and Cognition, 2018
182018
Using Hidden Markov Models to Uncover Underlying States in Neuroimaging Data for a Design Ideation Task
K Goucher-Lambert, C McComb
International Conference on Engineering Design, 2019
142019
Design Strategy Transfer in Cognitively-Inspired Agents
A Raina, C McComb, J Cagan
ASME 2018 International Design Engineering Technical Conferences and …, 2018
132018
Pulling at the Digital Thread: Exploring the Tolerance Stack Up Between Automatic Procedures and Expert Strategies in Scan To Print Processes
T Mahan, N Meisel, C McComb, J Menold
Journal of Mechanical Design, 2018
132018
Enhancement of Shear Transfer in Composite Deck with Mechanical Fasteners
C McComb, FM Tehrani
Engineering Structures 88, 251-261, 2015
122015
Combining Multi-body Dynamics and Potential Flow Simulation Methods to Model a Wave Energy Converter
C McComb, M Lawson, YH Yu
First Marine Energy Technology Symposium, 2013
122013
Quantitative Comparison of High- and Low-Performing Teams in a Design Task Subject to Drastic Changes
C McComb, J Cagan, K Kotovsky
ASME 2014 International Design Engineering Technical Conferences and …, 2014
112014
Toward Hybrid Teams: A Platform To Understand Human-Computer Collaboration During the Design of Complex Engineered Systems
B Song, NF Soria Zurita, G Zhang, G Stump, C Balon, SW Miller, M Yukish, ...
International Design Conference - DESIGN 2020, 2020
102020
Data on the Design of Truss Structures by Teams of Engineering Students
C McComb, J Cagan, K Kotovsky
Data in Brief, 2018
102018
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