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

Book, Chapters

  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2016, Utilizing Markov Chains to Understand Operation Sequencing in Design Tasks, Springer
  • Christopher McComb, , Towards the Rapid Design of Engineered Systems Through Deep Neural Networks, Springer

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

Conference Proceedings

  • 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, 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
  • Christian Murphy, Meisel A. Nicolas, Timothy W Simpson and Christopher McComb, , "Predicting Design for Additive Manufacturing Attributes via Autoencoded Voxel Patterns"

Research Projects

  • August 2017 - August 2021, "A Hybrid Computer Platform to Design, Guide, and Partner with Humans in the Team Problem-solving Process," (Sponsor: Carnegie Mellon University).
  •  2017 -  2017, "Rapid Evaluation and Synthesis of Engineering Systems," (Sponsor: NVIDIA Corporation).

Honors and Awards

  • 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:

  • Reviewer, Schreyer Application Reviewer, December 2017 - January 2018
  • Committee Member, SEDTAPP Representative, College of Engineering Activity Insight (AI) Faculty Users Committeev, October 2017
  • Advisor, LionTech Rocket Labs, September 2017
  • Committee Member, Mechanical Engineering Ph.D. Candidacy Exam Faculty Member -- Solid Mechanics, November 2017

Service to External Organizations:

  • Reviewer, Fellowship Application Reviewer, Tau Beta Pi, January 2018 - February 2018
  • Committee Member, 2018 Design Computing and Cognition Program Committee, October 2017 - July 2018
  • Secretary, Secretary, Engineering, Social Justice, and Peace, Coordinating Committee, January 2018
  • Director, District Director, Tau Beta Pi, May 2013
  • Co-Organizer, Symposium Co-Organizer, American Society of Mechanical Engineering, March 2018
  • Committee Member, Member of Organizing Committee, Knowledge-Based Systems in Computational Design and Media, February 2018
  • Committee Member, Member of Organizing Committee, Agent-Based Modeling in Design, March 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