Photo of Christopher McComb

Christopher McComb

Assistant Professor

Affiliation(s):

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

Research Areas:

Engineering Design

 
 

 

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

  • Tobias Mahan, Nicholas A. Meisel, Christopher McComb and Jessica Menold, 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, 141, (2)
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2018, "Data on the Design of Truss Structures by Teams of Engineering Students", Data in Brief, 18
  • 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
  • Mohammad Al-Sager Al-Zayed, Christopher McComb, Samuel T Hunter and Scarlett Rae Miller, , "Helping Teams Expand the Breadth of Their Solution Space Through Product Dissection: A Simulation Based Investigation", Journal of Mechanical Design

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
  • Torsten Maier, Jessica Menold and Christopher McComb, , "Towards an Ontology of Cognitive Assistants"
  • Torsten Maier, Jessica Menold and Christopher McComb, , "An Examination of Human Behavior When Collaborating With A Cognitive Assistant"
  • Katy Luchini-Colbry, Christopher McComb, Julie Rojewski, Astri Briliyanti and Dirk Colbry, , "Engineering Futures: Updating a Successful Professional Development Program to Address New Challenges"
  • Ayush Raina, Christopher McComb and Jonathan Cagan, , "Learning to Design from Humans: Imitating Human Designers Through Deep Learning"
  • Emmeline Evans, Jessica Menold and Christopher McComb, , "Critical Thinking in the Design Classroom: An Analysis of Student Design Reflections"
  • Dorcas Kaweesa, Christopher McComb, Jessica Menold, Sarah Ritter and Nicholas A. Meisel, , "Evaluating Idea Quantity and Variety When Using Digital Collaboration Tools to Support Brainstorming in Non-Collocated Teams"
  • Samuel Lapp, Kathryn W Jablokow and Christopher McComb, , "Collaborating with Style: Using an Agent-Based Model to Simulate Cognitive Style Diversity in Problem Solving Teams"
  • Sakthi Kumar Arul Prakash, Tobias Mahan, Glen Williams, Christopher McComb, Jessica Menold and Conrad S Tucker, , "On The Analysis Of A Compromised Additive Manufacturing System Using Spatio-Temporal Decomposition"
  • Alsparslan Emrah Bayrak, Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, , "A Differential Game Approach to Dynamic Competitive Decisions Toward Human-Computer Collaboration"
  • John Ostrander, Lauren Ryan, Snehal Dhengre, Christopher McComb, Timothy W Simpson and Nicholas A. Meisel, , "Using VR and CAD to Evaluate Parts Designed for Additive Manufacturing: A Comparative Study"
  • Jacob Nelson, Tobias Mahan, Christopher McComb and Jessica Menold, , "The Prototyping Behaviors of Startups: Exploring the Relationship Between Prototyping Behavior and the Financial Success of Startups"
  • Pratima Saravanan, Charity Hipple, Jingxin Wang, Christopher McComb and Jessica Menold, , "Decision-Making in the Prescription of Orthotics and Prosthetics for Partial-Foot Amputees"
  • Jai Nath Banerjee, Madhura Mundale, Adnan Sachche and Christopher McComb, , "Complexity Reduction in Mass Customization To Facilitate Better Decision Support"
  • Torsten Maier, Vincent Donghia, Chaoran Chen, Jessica Menold and Christopher McComb, , "Assessing The Impact Of Cognitive Assistants On Mental Workload In Simple Tasks"

Abstracts

  • Glen Williams, Timothy W Simpson, Nicholas A. Meisel and Christopher McComb, , "Design Repository Effectiveness for 3D Convolutional Neural Networks: Application to Additive Manufacturing"
  • Nicholas A. Meisel, Christopher McComb, Margaret G Meloy and Sarah Ritter, , "Creation and Implementation of a Project Framework to Improve Cornerstone Engineering Design"
  • Glen Williams, Adnen Mezghani, Matthew Eachus, John O'Brien, Christopher McComb and Nicholas A. Meisel, , "A Standardized Framework for Communicating and Modelling Parametrically Defined Mesostructure Patterns"

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

  • 2018 Journal of Mechanical Design Reviewer with Distinction Award, American Society of Mechanical Engineers, January 2019
  • 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, COE 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, Tau Beta Pi, Pennsylvania Beta Chapter, May 2018
  • Committee Work, Member, SEDTAPP 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, 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:

  • Organizing Conferences and Service on Conference Committees, Co-Organizer, Symposium Co-Organizer, American Society of Mechanical Engineering, Creativity and Ideation, March 2019 - April 2019
  • Organizing Conferences and Service on Conference Committees, Chairperson, Conference Chair, Tau Beta Pi, February 2019 - February 2019
  • Organizing Conferences and Service on Conference Committees, Committee Member, Member of Organizing Committee, Knowledge-Based Systems in Computational Design and Media, March 2019
  • 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 - July 2018
  • Organizing Conferences and Service on Conference Committees, Committee Member, Member of Organizing Committee, Agent-Based Modeling in Design, March 2018 - July 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
  • Participation in or Service to Professional and Learned Societies, Other, Engineering Futures Facilitator, Engineering Futures Facilitator, Tau Beta Pi, December 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

With more than 60 faculty members, 330 graduate students, and 800 undergraduate students, the Department of Mechanical Engineering is innovating today what will impact tomorrow’s solutions to meeting our energy needs, homeland security, biomedical devices, and transportation systems. We offer B.S. degrees in mechanical engineering as well as resident (M.S., Ph.D.) and online (M.S., M.Eng.) graduate degrees in mechanical engineering. See how we’re inspiring change and impacting tomorrow at me.psu.edu.

The Ken and Mary Alice Lindquist Department of Nuclear Engineering at Penn State is one of the top ranked nuclear engineering programs in the United States. A strong focus on experimental research distinguishes us from many other programs. Our actively growing program has 8 faculty members and almost 90 graduate students. In the Radiation Science and Engineering Center, nuclear engineering students can take advantage of the Breazeale Nuclear Reactor, the longest operating university research reactor in the country. Visit nuce.psu.edu for more information.

Department of Mechanical and Nuclear Engineering

137 Reber Building

The Pennsylvania State University

University Park, PA 16802-4400

Phone: 814-865-2519