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 Department of Mechanical and Nuclear Engineering at Penn State is one of the nation’s largest and most successful engineering departments. We serve more than 1,000 undergraduate students and more than 330 graduate students

We offer B.S. degrees in mechanical engineering and nuclear engineering as well as resident (M.S., Ph.D.) and online (M.S., M.Eng.) graduate degrees in nuclear engineering and mechanical engineering. MNE's strength is in offering hands-on experience in highly relevant research areas, such as energy, homeland security, biomedical devices, and transportation systems.

Department of Mechanical and Nuclear Engineering

137 Reber Building

The Pennsylvania State University

University Park, PA 16802-4400

Phone: 814-865-2519