Photo of Christopher McComb

Christopher McComb

Assistant Professor

Affiliation(s):

  • School of Engineering Design, Technology and Professional Programs
  • Engineering Design
  • Mechanical and Nuclear Engineering
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Research Areas:

Interest Areas:

 
 

 

Education

  • BS, Civil Engineering, California State University, Fresno, 2012
  • BS, Mechanical Engineering, California State University, Fresno, 2012
  • MS, Mechanical Engineering, Carnegie Mellon University, 2014
  • Ph D, Mechanical Engineering, Carnegie Mellon University, 2016

Publications

Journal Articles

  • Christopher McComb, Nathan G Johnson, Pablo S Santaeufemia, Brandon T Gorman, Brent Kolste, Alexander Mobley and Kenji Shimada, 2018, "Multi-objective optimization and scenario-based robustness analysis of the MoneyMaker Hip Pump", Journal of Development Engineering, 3, pp. 11
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2017, "Mining Process Heuristics from Designer Action Data via Hidden Markov Models", Journal of Mechanical Design, 139, (11)
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2017, "Data on the Configuration Design of Internet-Connected Home Cooling Systems by Engineering Students", Data in Brief, 14
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2017, "Capturing Human Sequence-Learning Abilities in Configuration Design Tasks through Markov Chains", Journal of Mechanical Design, 139, (9)
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2017, "Optimizing Design Teams Based on Problem Properties: Computational Team Simulations and an Applied Empirical Test", Journal of Mechanical Design, 139, (4)
  • Christopher McComb, Kosa Goucher-Lamber and Jonathan Cagan, 2017, "Impossible by design? Fairness, strategy, and Arrow’s impossibility theorem", Design Science, 3
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2016, "Drawing Inspiration From Human Design Teams For Better Search And Optimization: The Heterogeneous Simulated Annealing Teams Algorithm", Journal of Mechanical Design, 138, (4)
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2015, "Lifting the Veil: Drawing Insights about Design Teams from a Cognitively-inspired Computational Model", Design Studies, 40, pp. 119–142
  • Christopher McComb and Fariborz M Tehrani, 2015, "Enhancement of Shear Transfer in Composite Deck with Mechanical Fasteners", Engineering Structures, 88
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2015, "Rolling with the Punches: An Examination of Team Performance in a Design Task Subject to Drastic Changes", Design Studies, 36, pp. 99–121
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, , "Data on the Design of Truss Structures by Teams of Engineering Students", Data in Brief, 18

Conference Proceedings

  • Catherine Berdanier, Eric Baker, Weiqin Wang and Christopher McComb, 2018, "Opportunities for Natural Language Processing in Qualitative Engineering Education Research: Two Examples"
  • Mohammad Al-Sager Al-Zayed, Christopher McComb, Samuel T Hunter and Scarlett Rae Miller, 2018, "Helping Teams Expand the Breadth of Their Solution Space Through Product Dissection: A Simulation Based Investigation"
  • Lucas Puentes, Christopher McComb and Jonathan Cagan, 2018, "A Two-Tiered Grammatical Approach For Agent-Based Computational Design"
  • Ayush Raina, Christopher McComb and Jonathan Cagan, 2018, "Design Strategy Transfer in Cognitively Inspired Agents"
  • Christian Murphy, Nicholas A. Meisel, Timothy W Simpson and Christopher McComb, 2018, "Predicting Design for Additive Manufacturing Attributes via Autoencoded Voxel Patterns"
  • Christopher McComb and Torsten Maier, 2018, "Designing Improved Teams for Crowdsourced Competitions", ASME
  • Jessica Menold, Catherine Berdanier, Christopher McComb, Emma Hocker and Lisa Gardner, 2018, ""Thus, I had to go with what I had": A Multiple Methods Exploration of Novice Designers' Articulation of Prototyping Decisions"
  • Christopher McComb, Catherine Berdanier and Jessica Menold, 2018, "Design Challenges as an Authentic Assessment in First-year Engineering Design Courses"
  • Christopher McComb, 2018, "Towards the Rapid Design of Engineered Systems Through Deep Neural Networks", Springer
  • Fariborz M Tehrani, Christopher McComb and Nell Papavasiliou, 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
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2017, "Eliciting Configuration Design Heuristics with Hidden Markov Models", pp. 9
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2017, "Validating a Tool for Predicting Problem-Specific Optimized Team Characteristics"
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2016, "Linking Properties of Design Problem to Optimal Team Characteristics"
  • Christopher McComb, Nathan G Johnson and Brandon T Gorman, 2016, "Scenario-Based Robustness Analysis of Optimized I.D.E.-Style Treadle Pump Designs", pp. 10
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2016, "Utilizing Markov Chains to Understand Operation Sequencing in Design Tasks", Springer
  • Christopher McComb, Kosa Goucher-Lambert and Jonathan Cagan, 2015, "Fairness and Manipulation: An Empirical Study of Arrow’s Impossibility Theorem"
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2015, "Heterogeneous Simulated Annealing Teams: An Optimizing Search Algorithm Inspired by Engineering Design Teams"
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2015, "Studying Human Design Teams via Computational Teams of Simulated Annealing Agents"
  • Christopher McComb and Fariborz M. Tehrani, 2014, "Research and Practice Group Methodology: A Case Study in Student Success"
  • Christopher McComb, Pablo S. Santaeufemia, Nathan G. Johnson and Kenji Shimada, 2014, "Identifying Technical and Economic Improvements to the MoneyMaker Hip Pump through Multi-Objective Optimization"
  • Pablo S. Santaeufemia, Nathan Johnson, Christopher McComb and Kenji Shimada, 2014, "Improving Irrigation in Remote Areas: Multi-objective Optimization of a Treadle Pump"
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2014, "Quantitative Comparison of High- and Low-Performing Teams in a Design Task Subject to Drastic Changes"
  • Christopher McComb, Michael Lawson and Yi-Hsiang Yu, 2013, "Combining Multi-body Dynamics and Potential Flow Simulation Methods to Model a Wave Energy Converter", pp. 8

Research Projects

  • August 2018 - July 2021, "Investigating the Effectiveness of Machine Learning Paradigms for Supporting Engineering Designers in Rapidly Evolving Digital Manufacturing," (Sponsor: National Science Foundation).
  • August 2017 - June 2018, "A Hybrid Computer Platform to Design, Guide, and Partner with Humans in the Team Problem-solving Process," (Sponsor: Carnegie Mellon University).
  •  2018 -  2018, "Machine Learning for Additive Manufacturing Applications," (Sponsor: NVIDIA Corporation).
  •  2017 -  2017, "Rapid Evaluation and Synthesis of Engineering Systems," (Sponsor: NVIDIA Corporation).

Honors and Awards

  • Best Paper Prize - Computation, 2018 Design Computing and Cognition Conference, July 2018
  • Best Dissertation Award (2017), Carnegie Mellon University, Department of Mechanical Engineering, May 2017
  • Best Paper Prize - Computation, 2016 Design Computing and Cognition Conference, July 2016
  • Reviewers' Favorite, 2015 International Conference on Engineering Design, July 2015
  • Reviewers' Favorite, 2015 International Conference on Engineering Design, July 2015

Service

Service to Penn State:

  • Committee Work, Committee Member, Research Computing Committee, August 2018
  • Committee Work, Committee Member, Research Computing & CyberInfrastructure Advisory Council, August 2018
  • Committee Work, Committee Member, Industrial Engineering Ph.D. Candidacy Exam Faculty Member -- Human Factors, March 2018
  • Assistance to Student Organizations, Advisor, Advisor, Tau Beta Pi, Pennsylvania Beta Chapter, May 2018
  • Committee Work, Member, Curriculum Committee, June 2018
  • Committee Work, Committee Member, SEDTAPP Representative, College of Engineering Activity Insight (AI) Faculty Users Committee, October 2017
  • Assistance to Student Organizations, Advisor, Advisor, LionTech Rocket Labs, September 2017
  • Committee Work, Committee Member, Mechanical Engineering Ph.D. Candidacy Exam Faculty Member -- Solid Mechanics, November 2017
  • Contribution to Programs to Enhance Equal Opportunity/Cultural Diversity, Speaker, Faculty Fireside Chat with Students in Special Living Options, September 2018
  • Assistance to Student Organizations, Representative, New Student Convocation, August 2018

Service to External Organizations:

  • Participation in or Service to Professional and Learned Societies, Secretary, Secretary, Engineering, Social Justice, and Peace, Coordinating Committee, January 2018
  • Organizing Conferences and Service on Conference Committees, Co-Organizer, Symposium Co-Organizer, American Society of Mechanical Engineering, Human Behavior in Design, March 2018 - April 2018
  • Organizing Conferences and Service on Conference Committees, Committee Member, Member of Organizing Committee, Knowledge-Based Systems in Computational Design and Media, February 2018
  • Organizing Conferences and Service on Conference Committees, Committee Member, Member of Organizing Committee, Agent-Based Modeling in Design, March 2018
  • Organizing Conferences and Service on Conference Committees, Organizer, Session Organizer, American Society of Mechanical Engineering, Prototyping and Design Representation, June 2018 - August 2018
  • Organizing Conferences and Service on Conference Committees, Co-Organizer, Session Co-Organizer, American Society of Mechanical Engineering, Artificial Intelligence and Computational Synthesis, June 2018 - August 2018
  • Organizing Conferences and Service on Conference Committees, Committee Member, 2018 Design Computing and Cognition Program Committee, October 2017 - July 2018
  • Participation in or Service to Professional and Learned Societies, Director, District Director, Tau Beta Pi, May 2013
  • Organizing Conferences and Service on Conference Committees, Moderator, Session Moderator, American Society of Engineering Education, WIP: Enrollment, Instruction and Pedagogy - Focus on Classroom Practices, July 2018
 


 

About

The School of Engineering Design, Technology, and Professional Programs (SEDTAPP) delivers effective engineering education through active, collaborative, project-based, and professionally oriented classroom experiences. SEDTAPP offers a variety of programs that partner faculty, students, and industry in the study of real-life engineering problems. Our programs teach students to solve real-life problems with innovative solutions. 

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