Journal

  1. Williams, G., Meisel, N., Simpson, T., & McComb, C. (2022). Design for Artificial Intelligence: Proposing a Conceptual Framework Grounded in Data Wrangling. Journal of Computing and Information Science in Engineering.
  2. Krishnakumar, S., Berdanier, C., Lauff, C., McComb, C., & Menold, J. (2022). The stories novice designers tell: How rhetorical structures and prototyping shape communication with external audiences. Design Studies.
  3. Singh, H., Cascini, G., & McComb, C. (2022). Idea Selection in Design Teams: A Computational Framework and Insights in the Presence of Influencers. Design Science.
  4. Gyory, J., Kotovsky, K., McComb, C., & Cagan, J. (2022). Comparing the Impacts on Team Behaviors Between AI and Human Process Management in Interdisciplinary Design Teams. Journal of Mechanical Design.
  5. Radwan, N. & McComb, C. (2022). A Computational Study of Design Team Robustness Through the Lens of Cognitive Style. Journal of Mechanical Design.
  6. Singh, H., Cascini, G., & McComb, C. (2022). Virtual and face-to-face team collaboration comparison through an agent-based simulation. Journal of Mechanical Design.
  7. Soria Zurita, N., Gyory, J., Balon, C., Martin, J., Kotovsky, K., Cagan, J., & McComb, C. (2022). Data on the Human versus Artificial Intelligence Process Management Experiment. Data in Brief.
  8. Nolte, H., Huff, J., & McComb, C. (2022). No Time for That?: An Investigation of Mindfulness and Stress in First-Year Engineering Design. Design Science.
  9. Song, B., Gyory, J., Zhang, G., Soria Zurita, N., Stump, G., Martin, J., Miller, S., Balon, C., Yukish, M., & McComb, C. (2022). Decoding the Agility of Artificial Intelligence-Assisted Human Design Teams. Design Studies.
  10. Li, M. & McComb, C. (2022). Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations. Journal of Computing and Information Science in Engineering.
  11. Allison, J., Cardin, M., McComb, C., Ren, M., Selva, D., Tucker, C., Witherell, P., & Zhao, Y. (2022). Artificial Intelligence and Engineering Design. Journal of Mechanical Design.
  12. McComb, C. & Jablokow, K. (2022). A Conceptual Framework for Multidisciplinary Design Research with Example Application to Agent-Based Modeling. Design Studies.
  13. Raina, A., Cagan, J., & McComb, C. (2022). Design Strategy Network: A deep hierarchical framework to represent generative design strategies in complex action spaces. Journal of Mechanical Design.
  14. Gyory, J., Soria Zurita, N., Martin, J., Balon, C., McComb, C., Kotovsky, K., & Cagan, J. (2022). Human versus Artificial Intelligence: A Data-Driven Approach to Real-Time Process Management During Complex Engineering Design. Journal of Mechanical Design.
  15. Singh, H., Cascini, G., & McComb, C. (2021). Influencers in Design Teams: A Computational Framework to Study their Impact on Idea Generation. Artificial Intelligence for Engineering Design, Analysis and Manufacturing.
  16. Song, B., Soria Zurita, N., Nolte, H., Singh, H., Cagan, J., & McComb, C. (2021). When faced with increasing complexity: The effectiveness of AI assistance for drone design. Journal of Mechanical Design.
  17. Bracken, J., Simpson, T., McComb, C., Jablokow, K., & Hamann, J. (2021). Part Filtering Methods for Additive Manufacturing: A Detailed Review and a Novel Process-Agnostic Method  . Additive Manufacturing.
  18. Raina, A., Puentes, L., Cagan, J., & McComb, C. (2021). Goal-Directed Design Agents: Integrating Visual Imitation with One-Step Lookahead Optimization for Generative Design. Journal of Mechanical Design.
  19. Maier, T., Abdullah, S., McComb, C., & Menold, J. (2021). A Query Conundrum: The Mental Challenges of Using a Cognitive Assistant. SN Computer Science.
  20. Zhang, G., Soria Zurita, N., Stump, G., Song, B., Cagan, J., & McComb, C. (2021). Data on the Design and Operation of Drones by Both Individuals and Teams. Data in Brief.
  21. Zhang, G., Raina, A., Cagan, J., & McComb, C. (2021). A cautionary tale about the impact of AI on human design teams. Design Studies.
  22. Rismiller, S., Cagan, J., & McComb, C. (2021). An Adversarial Agent-Based Design Method Using Stochastic Stackelberg Game Conditions. Journal of Mechanical Design.
  23. Tehrani, F., McComb, C., & Scott, S. (2021). A Quantitative Approach to Evaluate the Application of the Extended Situational Teaching Model in Engineering Education. Stats.
  24. Bayrak, A., McComb, C., Kotovsky, K., & Cagan, J. (2021). A Strategic Decision-making Architecture Toward Hybrid Teams for Dynamic Competitive Problems. Decision Support Systems.
  25. Krishnakumar, S., Berdanier, C., McComb, C., & Menold, J. (2021). Lost in Translation: Examining the Complex Relationship between Prototyping and Communication. Journal of Mechanical Design.
  26. Nolte, H. & McComb, C. (2021). The Cognitive Experience of Engineering Design: An Examination of First-Year Student Stress Across Principal Activities of the Engineering Design Process. Design Science.
  27. Khanolkar, P., Basu, S., & McComb, C. (2021). Image-based Data on Strain Fields of Microstructures with Porosity Defects. Data in Brief.
  28. Nolte, H., Berdanier, C., Menold, J., & Nolte, H. (2020). Assessing Engineering Design: A Comparison of the Effect of Exams and Design Practica on First-Year Students Design Self-Efficacy. Journal of Mechanical Design.
  29. Mehta, P., Malviya, M., McComb, C., Manogharan, G., & Berdanier, C. (2020). Mining Design Heuristics for Additive Manufacturing Via Eye-Tracking Methods and Hidden Markov Modeling. Journal of Mechanical Design.
  30. Khanolkar, P., McComb, C., & Basu, S. (2020). Predicting Elastic Strain Fields in Defective Microstructures using Image Colorization Algorithms. Computational Material Science.
  31. Puentes, L., Cagan, J., & McComb, C. (2020). Data-Driven Heuristic Induction from Human Design Behavior. Journal of Computing and Information Science in Engineering.
  32. Alsager Alzayed, M., McComb, C., Menold, J., Huff, J., & Miller, S. (2020). Are you feeling me? An exploration of empathy development in engineering design education. Journal of Mechanical Design.
  33. Prakash, S., Mahan, T., Williams, G., McComb, C., Menold, J., & Tucker, C. (2020). Detection Of System Compromise In Additive Manufacturing Using Video Motion Magnification. Journal of Mechanical Design.
  34. Nelson, J., Mahan, T., McComb, C., & Menold, J. (2019). The Prototyping Behaviors of Startups: Exploring the Relationship Between Prototyping Behaviors and Startup Strategies. Journal of Mechanical Design.
  35. Li, M., Mahajan, N., Menold, J., & McComb, C. (2019). Image collection of 3D-printed prototypes and non-3D-printed prototypes. Data in Brief.
  36. Puentes, L., Cagan, J., & McComb, C. (2019). Heuristic-Guided Solution Search through a Two-Tiered Design Grammar. Journal of Computing and Information Science in Engineering.
  37. Lapp, S., Jablokow, K., & McComb, C. (2019). KABOOM: An Agent-Based Model for Simulating Cognitive Style in Team Problem Solving. Design Science.
  38. Raina, A., McComb, C., & Cagan, J. (2019). Learning To Design From Humans: Imitating Human Designers Through Deep Learning. Journal of Mechanical Design.
  39. Raina, A., Cagan, J., & McComb, C. (2019). Transferring Design Strategies from Human to Computer and Across Design Problems. Journal of Mechanical Design.
  40. Williams, G., Meisel, N., Simpson, T., & McComb, C. (2019). Design Repository Effectiveness for 3D Convolutional Neural Networks: Application to Additive Manufacturing. Journal of Mechanical Design.
  41. Maier, T., DeFranco, J., & McComb, C. (2019). An Analysis of Design Process and Performance in Distributed Data Science Teams. Team Performance Management.
  42. Alzayed, M., McComb, C., Hunter, S., & Miller, S. (2019). Expanding the Solution Space in Engineering Design Education: A Simulation-Based Investigation of Product Dissection. Journal of Mechanical Design.
  43. Mahan, T., Meisel, N., McComb, C., & Menold, J. (2018). Pulling at the Digital Thread: Exploring the Tolerance Stack Up Between Automatic Procedures and Expert Strategies in Scan To Print Processes. Journal of Mechanical Design.
  44. McComb, C., Cagan, J., & Kotovsky, K. (2018). Data on the Design of Truss Structures by Teams of Engineering Students. Data in Brief.
  45. McComb, C., Johnson, N., Santaeufemia, P., Gorman, B., Kolste, B., Mobley, A., & Shimada, K. (2018). Multi-objective optimization and scenario-based robustness analysis of the MoneyMaker Hip Pump. Development Engineering.
  46. McComb, C., Cagan, J., & Kotovsky, K. (2017). Data on the Configuration Design of Internet-Connected Home Cooling Systems by Engineering Students. Data in Brief.
  47. McComb, C., Cagan, J., & Kotovsky, K. (2017). Mining Process Heuristics from Designer Action Data via Hidden Markov Models. Journal of Mechanical Design.
  48. McComb, C., Cagan, J., & Kotovsky, K. (2017). Capturing Human Sequence-Learning Abilities in Configuration Design Tasks through Markov Chains. Journal of Mechanical Design.
  49. McComb, C., Goucher-Lambert, K., & Cagan, J. (2017). Impossible by design? Fairness, strategy, and Arrow’s impossibility theorem. Design Science.
  50. 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.
  51. 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.
  52. McComb, C., Cagan, J., & Kotovsky, K. (2015). Lifting the Veil: Drawing Insights about Design Teams from a Cognitively-inspired Computational Model. Design Studies.
  53. McComb, C. & Tehrani, F. (2015). Enhancement of Shear Transfer in Composite Deck with Mechanical Fasteners. Engineering Structures.
  54. McComb, C., Cagan, J., & Kotovsky, K. (2015). Rolling with the Punches: An Examination of Team Performance in a Design Task Subject to Drastic Changes. Design Studies.

Conference

  1. Baldwin, M., Meisel, N., & McComb, C. (2022). A Data-driven Approach for Multi-Topology Lattice Transitions. 2022 International Solid Freeform Fabrication Symposium.
  2. Nolte, H., Starkey, E., Sofia Zurita, N., & McComb, C. (2022). Student and Instructor Reflections on Integrating Short Mindfulness-Based Meditation Practices into a First-Year Engineering Design Course. ASEE First Year Engineering Education Conference.
  3. Agyemang, M., Radwan, N., Hicks, S., Azhar, F., Valencia-Romero, A., & McComb, C. (2022). Deriving Recommendations for the Use of Human-Focused Agent-Based Modeling in Engineering Design. ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  4. Toh, C., Cagan, J., Fu, K., McAdams, D., McComb, C., Seering, W., Thurston, D., & Wood, K. (2022). DTM Past, Present, and Future: Reflections on and by the Design Theory and Methodology Research Community. ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  5. Radwan, N., Menold, J., McTernan, J., Jablokow, K., & McComb, C. (2022). Towards Characterizing Cognitive Style Coping Behavior in Engineering Design. ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  6. Gyory, J., Soria Zurita, N., Cagan, J., & McComb, C. (2022). Comparing Nominal and Interacting Sub-Structured Teams in an Interdisciplinary Engineering Design Task. ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  7. Williams, G., Meisel, N., Simpson, T., & McComb, C. (2022). Analyzing Expert Design Cost Estimation for Additive Manufacturing. ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  8. Raina, A., Cagan, J., & McComb, C. (2022). Self Learning Design Agent (SLDA): Enabling Deep Learning and Tree Search in Complex Action Spaces. ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  9. Gyory, J., Soria Zurita, N., Martin, J., Balon, C., McComb, C., Kotovsky, K., & Cagan, J. (2022). A Real-Time Artificial Intelligence Process Manager for Engineering Design. ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  10. Basu, S., McComb, C., Rifat, M., Sun, H., & Kumara, S. (2022). Process Monitoring: Distinguishing Defect Shapes by Strain Field Signatures. North American Manufacturing Research Conference.
  11. Song, B., McComb, C., & Ahmed, F. (2022). Assessing Machine Learnability Of Image And Graph Representations For Drone Performance Prediction. International Design Conference - DESIGN 2022.
  12. Karji, A., Messner, J., Leicht, R., & McComb, C. (2022). Identification of the Barriers to Data-Centric Approach in the Construction Industry. 2022 Construction Research Congress.
  13. Evans, E. & McComb, C. (2021). Pitch Imperfect: Designing 3D Printed Claves to Mimic the Sound of Their Wooden Counterparts. Solid Freeform Fabrication Symposium.
  14. Holowsko, N. & McComb, C. (2021). Multi-Objective Model-Based Optimization of Pilot Decision Making for Urban Air Mobility. ASME 2021 International Mechanical Engineering Congress and Exposition.
  15. Singh, H., Cascini, G., & McComb, C. (2021). Comparing design outcomes achieved by teams of expert and novice designers through agent-based simulation. International Conference on Engineering Design.
  16. Krishnakumar, S., Lauff, C., McComb, C., Berdanier, C., & Menold, J. (2021). Novice Designers' Use of Prototypes as Communication Tools. International Conference on Engineering Design.
  17. Gyory, J., Song, B., Cagan, J., & McComb, C. (2021). Communication in AI-assisted Teams During an Interdisciplinary Drone Design Problem. International Conference on Engineering Design.
  18. Agrawal, A., Won, S., Sharma, T., Deshpande, M., & McComb, C. (2021). A Multi-Agent Reinforcement Learning Framework for Intelligent Manufacturing with Autonomous Mobile Robots. International Conference on Engineering Design.
  19. Mahan, T., Saravanan, P., Krishnakumar, S., Nolte, H., McComb, C., & Menold, J. (2021). When the Going Gets Tough: Exploring Changes in the Startup Landscape Due to the Challenges of 2020. ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  20. Song, B., Soria Zurita, N., Nolte, H., Singh, H., Cagan, J., & McComb, C. (2021). Addressing Challenges to Problem Complexity: Effectiveness of AI Assistance During the Design Process. ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  21. Singh, H., Cascini, G., & McComb, C. (2021). Comparing Virtual and Face-to-Face Team Collaboration: Insights From an Agent-Based Simulation. ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  22. Stump, G., Yukish, M., Cagan, J., & McComb, C. (2021). Using Deep Learning to Simulate Multi-Disciplinary Design Teams. ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  23. Pierce, J., Williams, G., Simpson, T., Meisel, N., & McComb, C. (2021). Stochastically-Trained Physics-Informed Neural Networks: Application to Thermal Analysis in Metal Laser Powder Bed Fusion. ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  24. Li, M. & McComb, C. (2021). Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations. ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  25. Dhengre, S., Mathur, J., Oghazian, F., Tan, X., & McComb, C. (2020). Towards Enhanced Creativity in Interface Design through Automated Usability Evaluation. Proceedings of the 11th International Conference on Computational Creativity.
  26. Radwan, N. & McComb, C. (2020). Using Adaption-Innovation Theory to Simulate Robustness in Design Teams. Proceedings of the 11th International Conference on Computational Creativity.
  27. Berdanier, C., McComb, C., & Zhu, W. (2020). Natural Language Processing for Theoretical Framework Selection in Engineering Education Research. IEEE Frontiers in Education Conference.
  28. Singh, H., Cascini, G., & McComb, C. (2020). Analysing the Effect of Self-Efficacy and Influencers on Design Team Performance. Proceedings of the Design Society: DESIGN Conference.
  29. Park, J., Starkey, E., Choe, N., & McComb, C. (2020). Emergence of Engineering Design Self-efficacy in Engineering Identity Development. Ninth International Conference on Design Computing and Cognition.
  30. Williams, G., Meisel, N., Simpson, T., & McComb, C. (2020). Deriving Metamodels to Relate Machine Learning Quality to Repository Characteristics in the Context of Additive Manufacturing. ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  31. Rismiller, S., Cagan, J., & McComb, C. (2020). Stochastic Stackelberg Games for Agent-Driven Robust Design. ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  32. Bracken, J., McComb, C., Simpson, T., & Jablokow, K. (2020). A Review of Part Filtering Methods for Additive Manufacturing. ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  33. Song, B., Meinzer, E., Agrawal, A., & McComb, C. (2020). Topic Modeling and Sentiment Analysis of Social Media Data to Drive Experiential Redesign. ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  34. Williams, G., Puentes, L., Nelson, J., Menold, J., Tucker, C., & McComb, C. (2020). Comparing Attribute- and Form-Based Machine Learning Techniques for Component Prediction. ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  35. Maier, T., Soria Zurita, N., Starkey, E., Spillane, D., Menold, J., & McComb, C. (2020). Analyzing the Characteristics of Cognitive-Assistant-Facilitated Ideation Groups. ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  36. Puentes, L., Cagan, J., & McComb, C. (2020). Automated Heuristic Induction From Human Design Data. ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  37. Mertens, A., McComb, C., & Toh, C. (2020). Towards an Understanding of Semantic Memory During Idea Generation. ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  38. Nolte, H., Berdanier, C., Menold, J., & McComb, C. (2020). Comparison of Exams and Design Practica for Assessment in First Year Engineering Design Courses. ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  39. Krishnakumar, S., Berdanier, C., McComb, C., Parkinson, M., & Menold, J. (2020). Comparing Student and Sponsor Perceptions of Interdisciplinary Teams' Capstone Performance. ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  40. Alsager Alzayed, M., Miller, S., Menold, J., Huff, J., & McComb, C. (2020). Can Design Teams Be Empathically Creative? A Simulation-Based Investigation on the Role of Team Empathy on Concept Generation and Selection. ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  41. Khanolkar, P., Abraham, A., McComb, C., & Basu, S. (2020). Using Deep Image Colorization to Predict Microstructure-Dependent Strain Fields. North American Manufacturing Research Conference.
  42. Singh, H., McComb, C., & Cascini, G. (2020). Modelling the Dynamics of Influence on Individual Thinking During Idea Generation in Co-design Teams. Ninth International Conference on Design Computing and Cognition.
  43. Puentes, L., Raina, A., Cagan, J., & McComb, C. (2020). Modeling a Strategic Human Engineering Design Process: Human-Inspired Heuristic Guidance Through Learned Visual Design Agents. International Design Conference - DESIGN 2020.
  44. Nolte, H. & McComb, C. (2020). Identifying Stress Signatures Across the Engineering Design Process: Perceived Stress During Concept Generation, Concept Selection, and Prototyping. International Design Conference - DESIGN 2020.
  45. Song, B., Soria Zurita, N., Zhang, G., Stump, G., Balon, C., Miller, S., Yukish, M., Cagan, J., & McComb, C. (2020). Toward Hybrid Teams: A Platform To Understand Human-Computer Collaboration During the Design of Complex Engineered Systems. International Design Conference - DESIGN 2020.
  46. Luchini-Colbry, K., McComb, C., Rojewski, J., Briliyanti, A., & Colbry, D. (2019). Engineering Futures: Updating a Successful Professional Development Program to Address New Challenges. Proceedings of the 2019 ASEE Annual Conference & Exposition.
  47. Goucher-Lambert, K. & McComb, C. (2019). Using Hidden Markov Models to Uncover Underlying States in Neuroimaging Data for a Design Ideation Task. International Conference on Engineering Design.
  48. Maier, T., Menold, J., & McComb, C. (2019). Towards an Ontology of Cognitive Assistants. International Conference on Engineering Design.
  49. Raina, A., McComb, C., & Cagan, J. (2019). Learning To Design From Humans: Imitating Human Designers Through Deep Learning. ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  50. Williams, G., O'Brien, J., Mezghani, A., Eachus, M., Meisel, N., & McComb, C. (2019). A Standardized Framework for Communicating and Modelling Parametrically Defined Mesostructure Patterns. 30th Annual International Solid Freeform Fabrication Symposium.
  51. Saravanan, P., Hippie, C., Wang, J., McComb, C., & Menold, J. (2019). Decision-Making In The Prescription Of Orthotics And Prosthetics For Partial-Foot Amputees. ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  52. Prakash, S., Mahan, T., Williams, G., McComb, C., Menold, J., & Tucker, C. (2019). On The Analysis Of A Compromised Additive Manufacturing System Using Spatio-Temporal Decomposition. ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  53. Ostrander, J., Ryan, L., Dhengre, S., McComb, C., Simpson, T., & Meisel, N. (2019). A Comparative Study Of Virtual Reality And Computer-Aided Design To Evaluate Parts For Additive Manufacturing. ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  54. Nelson, J., Mahan, T., McComb, C., & Menold, J. (2019). The Prototyping Behaviors Of Startups: Exploring The Relationship Between Prototyping Behavior And The Financial Success Of Startups. ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  55. Maier, T., Donghia, V., Chen, C., Menold, J., & McComb, C. (2019). Assessing The Impact Of Cognitive Assistants On Mental Workload In Simple Tasks. ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  56. Lapp, S., Jablokow, K., & McComb, C. (2019). Collaborating with Style: Using an Agent-Based Model to Simulate Cognitive Style Diversity in Problem Solving Teams. ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  57. Kaweesa, D., McComb, C., Menold, J., Ritter, S., & Meisel, N. (2019). Evaluating Idea Quantity And Variety When Using Digital Collaboration Tools To Support Brainstorming In Non-Collocated Teams. ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  58. Evans, E., Menold, J., & McComb, C. (2019). Critical Thinking In The Design Classroom: An Analysis Of Student Design Reflections. ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  59. Bayrak, A., McComb, C., Cagan, J., & Kotovsky, K. (2019). A Differential Game Approach to Dynamic Competitive Decisions Toward Human-Computer Collaboration. ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  60. Banerjee, J., Mundale, M., Sachche, A., & McComb, C. (2019). Complexity Reduction in Mass Customization To Facilitate Better Decision Support. ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  61. Meisel, N., McComb, C., Menold, J., & Ritter, S. (2019). Creation and Implementation of a Project Framework to Improve Cornerstone Engineering Design. ASEE First-Year Engineering Education Conference.
  62. Alsager Alzayed, M., McComb, C., Hunter, S., & Miller, S. (2018). Helping Teams Expand the Breadth of Their Solution Space Through Product Dissection: A Simulation Based Investigation. ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  63. Murphy, C., Meisel, N., Simpson, T., & McComb, C. (2018). Using Autoencoded Voxel Patterns To Predict Part Mass, Required Support Material, and Build Time. 29th Annual International Solid Freeform Fabrication Symposium.
  64. Berdanier, C., Baker, E., Wang, W., & McComb, C. (2018). Opportunities for Natural Language Processing in Qualitative Engineering Education Research: Two Examples. IEEE Frontiers in Education Conference.
  65. McComb, C., Berdanier, C., & Menold, J. (2018). Design Practica as Authentic Assessments in First-year Engineering Design Courses. First-Year Engineering Experience Conference.
  66. Menold, J., Berdanier, C., McComb, C., Hocker, E., & Gardner, L. (2018). "Thus, I had to go with what I had": A Multiple Methods Exploration of Novice Designers Articulation of Prototyping Decisions. ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  67. Puentes, L., McComb, C., & Cagan, J. (2018). A Two-Tiered Grammatical Approach For Agent-Based Computational Design. ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  68. Raina, A., McComb, C., & Cagan, J. (2018). Design Strategy Transfer in Cognitively-Inspired Agents. ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  69. McComb, C. & Maier, T. (2018). Designing Improved Teams for Crowdsourced Competitions. ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  70. McComb, C. (2018). Towards the Rapid Design of Engineered Systems Through Deep Neural Networks. Eight International Conference on Design Computing and Cognition.
  71. Roy, O. & McComb, C. (2018). Ethical Design of Gendered Products. 13th Engineering, Social Justice and Peace Conference.
  72. Tehrani, F., McComb, C., & Papavasiliou, N. (2017). Application of Project-based Learning within the Context of Sustainable Development in Education of International Engineer Citizens. The 5th Iran International Conference on Engineering Education.
  73. McComb, C., Cagan, J., & Kotovsky, K. (2017). Validating a Tool for Predicting Problem-Specific Optimized Team Characteristics. ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  74. McComb, C., Cagan, J., & Kotovsky, K. (2017). Eliciting Configuration Design Heuristics with Hidden Markov Models. International Conference on Engineering Design.
  75. McComb, C., Cagan, J., & Kotovsky, K. (2016). Linking Properties of Design Problem to Optimal Team Characteristics. ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  76. McComb, C., Johnson, N., & Gorman, B. (2016). Scenario-Based Robustness Analysis of Optimized I.D.E.-Style Treadle Pump Designs. ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  77. McComb, C., Cagan, J., & Kotovsky, K. (2016). Utilizing Markov Chains to Understand Operation Sequencing in Design Tasks. Eight International Conference on Design Computing and Cognition.
  78. McComb, C., Cagan, J., & Kotovsky, K. (2015). Studying Human Design Teams via Computational Teams of Simulated Annealing Agents. ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  79. McComb, C., Cagan, J., & Kotovsky, K. (2015). Heterogeneous Simulated Annealing Teams: An Optimizing Search Algorithm Inspired by Engineering Design Teams. International Conference on Engineering Design.
  80. McComb, C., Goucher-Lambert, K., & Cagan, J. (2015). Fairness and Manipulation: An Empirical Study of Arrow’s Impossibility Theorem. International Conference on Engineering Design.
  81. McComb, C., Santaeufemia, P., Johnson, N., & Shimada, K. (2014). Identifying Technical and Economic Improvements to the MoneyMaker Hip Pump through Multi-Objective Optimization. IEEE Global Humanitarian Technology Conference.
  82. Santaeufemia, P., Johnson, N., McComb, C., & Shimada, K. (2014). Improving Irrigation in Remote Areas: Multi-objective Optimization of a Treadle Pump. ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  83. McComb, C., Cagan, J., & Kotovsky, K. (2014). Quantitative Comparison of High- and Low-Performing Teams in a Design Task Subject to Drastic Changes. ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  84. McComb, C. & Tehrani, F. (2014). Research and Practice Group Methodology: A Case Study in Student Success. Proceedings of the 2014 ASEE Pacific-Southwest Conference.
  85. McComb, C., Lawson, M., & Yu, Y. (2013). Combining Multi-body Dynamics and Potential Flow Simulation Methods to Model a Wave Energy Converter. First Marine Energy Technology Symposium.

Trade Publications

  1. (2021) "Infrastructure and Community Resilience in the Changing Arctic: Status, Challenges, and Research Needs" The Arctic Institute.
  2. (2021) "Agents and the Arctic: The Case for Increased Use of Agent-Based Modeling to Study Permafrost" The Arctic Institute.