Studying Human Design Teams through Computational Teams of Simulated Annealing Agents

McComb, C., Cagan, J., and Kotovsky, K. 2015, ASME IDETC – Design Theory and Methodology Conference Novel design methodologies are often evaluated through empirical studies involving human designers. However, such empirical studies can incur a high personnel...
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Multi-Objective Optimization and Scenario-based Robustness Analysis of the Moneymaker Hip Pump

McComb, C., Johnson, N.G., Santaeufemia, P.S., Gorman, B.T., Kolste, B., Mobley, A., and Shimada, K. 2018, Development Engineering, vol. 3, pp. 23-33 Water-lifting technologies for irrigation have significant potential to increase agricultural yields and stimulate...
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Research and Practice Group Methodology: A Case Study in Student Success

McComb, C., and Tehrani, F.M 2014, ASEE Pacific-Southwest Conference Experiential learning is a key component in engineering education. In civil engineering, this component is typically delivered through multiple projects. These projects may include term projects for...
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Drawing Inspiration From Human Design Teams for Better Search and Optimization: The Heterogeneous Simulated Annealing Teams Algorithm

McComb, C., Cagan, J., and Kotovsky, K. 2016, Journal of Mechanical Design, vol. 138(4), pp. 1-6 Insights uncovered by research in design cognition are often utilized to develop methods used by human designers; in this work, such insights are used to inform and...
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Quantitative Comparison of High- and Low-Performing Teams in a Design Task Subject to Drastic Changes

McComb, C., Cagan, J., and Kotovsky, K. 2014, ASME IDETC – Design Theory and Methodology Conference Many design tasks are subject to changes in goals or constraints. For instance, a client might modify specifications after design has commenced, or a competitor...
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Human system can mean many different things. In this lab, we look at it in three different ways:

Systems of Humans

  • Can we build accurate simulations of problem-solving teams?
  • How can be make organizations more efficient and effective?

Systems for Humans

  • In what way can intelligent tools boost human performance?
  • Can intelligent design tools be developed that mimic expert behavior?

Systems + Humans

  • What are the implications of merging humans and machines as equal partners?
  • What does an intelligent algorithm need to truly contribute?

Our research interests span the entire spectrum of human systems. Some examples of our research include discovering how to effectively manage and organize design teams and multi-team organization, designing computational algorithms that mirror human learning patterns, and developing new methods for rapidly analyzing renewable energy technology. If research like this sounds interesting to you, please take a look at our open positions.