Photo of Christopher McComb

Christopher McComb

James L. Henderson, Jr. Memorial 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

  • Emrah Bayrak, Jonathan Cagan, Christopher McComb and Kenneth Kotovsky, 2021, "A Strategic Decision-making Architecture Toward Hybrid Teams for Dynamic Competitive Problems", Decision Support Systems, 144
  • Sean Rismiller, Jonathan Cagan and Christopher McComb, 2021, "An Agent-Based Robust Design Method Using Stochastic Stackelberg Game Conditions", Journal of Mechanical Design, 143, (3)
  • Sandeep Krishnakumar, Catherine Berdanier, Christopher McComb and Jessica Menold, 2021, "Lost in Translation: Examining the Complex Relationship between Prototyping and Communication", Journal of Mechanical Design, 143, (9)
  • Pranav Khanolkar, Saurabh Basu and Christopher McComb, 2021, "Image-based Data on Strain Fields of Microstructures with Porosity Defects", Data in Brief, 34
  • Hannah Nolte and Christopher McComb, 2021, "The Cognitive Experience of Engineering Design: An Examination of First-Year Student Stress Across Principal Activities of the Engineering Design Process", Design Science
  • Pranav Khanolkar, Christopher McComb and Saurabh Basu, 2021, "Predicting Elastic Strain Fields in Defective Microstructures using Image Colorization Algorithms", Computational Materials Science, 186
  • Guanglu Zhang, Ayush Raina, Jonathan Cagan and Christopher McComb, 2021, "A cautionary tale on human-AI collaboration in design teams", Design Studies, 72
  • Hannah Nolte, Catherine Berdanier, Jessica Menold and Christopher McComb, 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, 143, (5)
  • Priyesh Mehta, Manoj Malviya, Christopher McComb, Guha Manogharan and Catherine Berdanier, 2020, "Mining Design Heuristics for Additive Manufacturing via Eye-Tracking and Hidden Markov Modelling", Journal of Mechanical Design, 142, (12)
  • Mohammad Al-Sager Al-Zayed, Christopher McComb, Jessica Menold, Jacquelyn Huff and Scarlett Rae Miller, 2020, "Are You Feeling Me? An Exploration of Empathy Development in Engineering Design Education", Journal of Mechanical Design
  • Lucas Puentes, Jonathan Cagan and Christopher McComb, 2020, "Data-Driven Heuristic Induction from Human Design Behavior", Journal of Mechanical Design, 21, (2)
  • Sakthi Kumar Arul Prakash, Tobias Mahan, Glen Williams, Christopher McComb, Jessica Menold and Conrad S Tucker, 2020, "Detection Of System Compromise In Additive Manufacturing Using Video Motion Magnification", Journal of Mechanical Design, 142, (3)
  • Jacob Nelson, Tobias Mahan, Christopher McComb and Jessica Menold, 2020, "The Prototyping Behaviors of Startups: Exploring the Relationship Between Prototyping Behavior and the Financial Success of Startups", Journal of Mechanical Design, 142, (3)
  • Mengchen Li, Ninad Mahajan, Jessica Menold and Christopher McComb, 2019, "Image collection of 3D-printed prototypes and non-3D-printed prototypes", Data in Brief, 27
  • Glen Williams, Timothy W Simpson, Nicholas A. Meisel and Christopher McComb, 2019, "Design Repository Effectiveness for 3D Convolutional Neural Networks: Application to Additive Manufacturing", ASME Journal of Mechanical Design, 141, (11)
  • Lucas Puentes, Jonathan Cagan and Christopher McComb, 2019, "Heuristic-Guided Solution Search through a Two-Tiered Design Grammar", Journal of Computing and Information Science in Engineering, 20, (1)
  • Torsten Maier, Joanna DeFranco and Christopher McComb, 2019, "An Analysis of Design Process and Performance in Distributed Data Science Teams", Journal of Team Performance Management, 25, (7/8)
  • Ayush Raina, Christopher McComb and Jonathan Cagan, 2019, "Learning to Design from Humans: Imitating Human Designers Through Deep Learning", ASME Journal of Mechanical Design, 141, (11)
  • Ayush Raina, Jonathan Cagan and Christopher McComb, 2019, "Transferring Design Strategies from Human to Computer and Across Design Problems", Journal of Mechanical Design, 141, (11)
  • Samuel Lapp, Kathryn W Jablokow and Christopher McComb, 2019, "KABOOM: An Agent-Based Model for Simulating Cognitive Style in Team Problem Solving", Design Science, 3
  • Mohammad Al-Sager Al-Zayed, Christopher McComb, Samuel T Hunter and Scarlett Rae Miller, 2019, "Expanding the Solution Space in Engineering Design Education: A Simulation-Based Investigation of Product Dissection", Journal of Mechanical Design, 141, (3), pp. 11
  • 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, pp. 160-163
  • 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), pp. 12
  • 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, pp. 773-776
  • 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), pp. 12
  • 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), pp. 6
  • 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, pp. 251–261
  • 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, Fariborz Tehrani and Sherrianna Scott, , "Quantitative Approach to Evaluate the Application of the Extended Situational Teaching Model in Engineering Education", Stats
  • Guanglu Zhang, Nicolas Soria Zurita, Gary Stump, Binyang Song, Jonathan Cagan and Christopher McComb, , "Data on the Design and Operation of Drones by Both Individuals and Teams", Data in Brief
  • Ayush Raina, Lucas Puentes, Jonathan Cagan and Christopher McComb, , "Goal-Directed Design Agents: Integrating Visual Imitation with One-Step Lookahead Optimization for Generative Design", Journal of Mechanical Design

Conference Proceedings

  • Catherine Berdanier, Christopher McComb and Weiwei Zhu, 2020, "Natural Language Processing for Theoretical Framework Selection in Engineering Education Research"
  • Mohammad Al-Sager Al-Zayed, Scarlett Rae Miller, Jessica Menold, Jacquelyn Huff and Christopher McComb, 2020, "Can Design Teams Be Empathically Creative? A Simulation-Based Investigation on the Role of Team Empathy on Concept Generation and Selection"
  • Hannah Nolte, Catherine Berdanier, Jessica Menold and Christopher McComb, 2020, "Comparison of Exams and Design Practica for Assessment in First Year Engineering Design Courses"
  • Sandeep Krishnakumar, Catherine Berdanier, Christopher McComb, Matthew B Parkinson and Jessica Menold, 2020, "Comparing Student and Sponsor Perceptions of Interdisciplinary Teams' Capstone Performance"
  • Attakias Mertens, Christopher McComb and Christine Toh, 2020, "Towards an Understanding of Semantic Memory During Idea Generation"
  • Torsten Maier, Nicolas Soria Zurita, Elizabeth Starkey, Daniel Spillane, Jessica Menold and Christopher McComb, 2020, "Analyzing the Characteristics of Cognitive-Assistant-Facilitated Ideation Groups"
  • Binyang Song, Emmett Meinzer, Akash Agrawal and Christopher McComb, 2020, "Topic Modeling and Sentiment Analysis of Social Media Data to Drive Experiential Redesign"
  • Glen Williams, Lucas Puentes, Jacob Nelson, Jessica Menold, Conrad S Tucker and Christopher McComb, 2020, "Comparing Attribute- and Form-Based Machine Learning Techniques for Component Prediction"
  • Jennifer Bracken, Christopher McComb, Timothy W Simpson and Kathryn W Jablokow, 2020, "A Review of Part Filtering Methods for Additive Manufacturing"
  • Sean Rismiller, Jonathan Cagan and Christopher McComb, 2020, "Stochastic Stackelberg Games for Agent-Driven Robust Design"
  • Glen Williams, Nicholas A. Meisel, Timothy W Simpson and Christopher McComb, 2020, "Deriving Metamodels to Relate Machine Learning Quality to Repository Characteristics in the Context of Additive Manufacturing"
  • Lucas Puentes, Jonathan Cagan and Christopher McComb, 2020, "Automated Heuristic Induction from Human Design Data"
  • Noriana Radwan and Christopher McComb, 2020, "Using Adaption-Innovation Theory to Simulate Robustness in Design Teams"
  • Snehal Dhengre, Jayant Mathur, Farzaneh Oghazian, Xiaomei Tan and Christopher McComb, 2020, "Towards Enhanced Creativity in Interface Design through Automated Usability Evaluation"
  • Harshika Singh, Gaetano Cascini and Christopher McComb, 2020, "Analyzing the Effect of Self-Efficacy and Influencers on Design Teams"
  • Pranav Khanolkar, Aaron Abraham, Christopher McComb and Saurabh Basu, 2020, "Using Deep Image Colorization to Predict Microstructure-Dependent Strain Fields"
  • Mohammad AlSager AlZayed, Scarlett Miller and Christopher McComb, 2020, "Does Empathy Beget Creativity? Investigating the Role of Trait Empathy on Idea Generation and Selection", Springer
  • Harshika Singh, Christopher McComb and Gaetano Cascini, 2020, "Modelling the Dynamics of Influence on Individual Thinking during Idea Generation in Co-design Teams", Springer
  • Lucas Puentes, Ayush Raina, Jonathan Cagan and Christopher McComb, 2020, "Modeling a Strategic Human Engineering Design Process: Human-Inspired Heuristic Guidance Through Learned Visual Design Agents"
  • Hannah Nolte and Christopher McComb, 2020, "Identifying Stress Signatures Across the Engineering Design Process: Perceived Stress During Concept Generation, Concept Selection, and Prototyping"
  • Binyang Song, Nico Soria Zurita, Guanglu Zhang, Gary Stump, Corey Balon, Simon Miller, Michael A Yukish, Jonathan Cagan and Christopher McComb, 2020, "Towards Hybrid Teams: A Platform to Understand Human-Computer Collaboration During the Design of Complex Engineered Systems"
  • Glen Williams, Adnen Mezghani, Matthew Eachus, John O'Brien, Nicholas A. Meisel and Christopher McComb, 2019, "A Standardized Framework for Communicating and Modelling Parametrically Defined Mesostructure Patterns"
  • Ayush Raina, Christopher McComb and Jonathan Cagan, 2019, "Learning to Design from Humans: Imitating Human Designers Through Deep Learning"
  • Emmeline Evans, Jessica Menold and Christopher McComb, 2019, "Critical Thinking in the Design Classroom: An Analysis of Student Design Reflections"
  • Dorcas Kaweesa, Christopher McComb, Jessica Menold, Sarah Ritter and Nicholas A. Meisel, 2019, "Evaluating Idea Quantity and Variety When Using Digital Collaboration Tools to Support Brainstorming in Non-Collocated Teams"
  • Sakthi Kumar Arul Prakash, Tobias Mahan, Glen Williams, Christopher McComb, Jessica Menold and Conrad S Tucker, 2019, "On The Analysis Of A Compromised Additive Manufacturing System Using Spatio-Temporal Decomposition"
  • Alsparslan Emrah Bayrak, Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2019, "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, 2019, "Using VR and CAD to Evaluate Parts Designed for Additive Manufacturing: A Comparative Study", ASME
  • Jacob Nelson, Tobias Mahan, Christopher McComb and Jessica Menold, 2019, "The Prototyping Behaviors of Startups: Exploring the Relationship Between Prototyping Behavior and the Financial Success of Startups", ASME
  • Pratima Saravanan, Charity Hipple, Jingxin Wang, Christopher McComb and Jessica Menold, 2019, "Decision-Making in the Prescription of Orthotics and Prosthetics for Partial-Foot Amputees"
  • Jai Nath Banerjee, Madhura Mundale, Adnan Sachche and Christopher McComb, 2019, "Complexity Reduction in Mass Customization To Facilitate Better Decision Support"
  • Torsten Maier, Vincent Donghia, Chaoran Chen, Jessica Menold and Christopher McComb, 2019, "Assessing The Impact Of Cognitive Assistants On Mental Workload In Simple Tasks"
  • Torsten Maier, Jessica Menold and Christopher McComb, 2019, "Towards an Ontology of Cognitive Assistants"
  • Nicholas A. Meisel, Christopher McComb, Jessica Menold and Sarah Ritter, 2019, "Creation and Implementation of a Project Framework to Improve Cornerstone Engineering Design"
  • Samuel Lapp, Kathryn W Jablokow and Christopher McComb, 2019, "Collaborating with Style: Using an Agent-Based Model to Simulate Cognitive Style Diversity in Problem Solving Teams"
  • 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"
  • Christopher McComb, Jonathan Cagan and Kenneth Kotovsky, 2017, "Eliciting Configuration Design Heuristics with Hidden Markov Models", pp. 1-9
  • 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. 1-10
  • 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
  • Katy Luchini-Colbry, Christopher McComb, Julie Rojewski, Astri Briliyanti and Dirk Colbry, , "Engineering Futures: Updating a Successful Professional Development Program to Address New Challenges"
  • Joshua Gyory, Binyang Song, Jonathan Cagan and Christopher McComb, , "Communication in Human-AI Hybrid Teams During an Interdisciplinary Drone Design Problem"
  • Sandeep Krishnakumar, Carlye Lauff, Christopher McComb, Catherine Berdanier and Jessica Menold, , "Novice Designers' Use of Prototypes as Communication Tools"
  • Akash Agrawal, Sung Jun Won, Tushar Sharma, Mayuri Deshpande and Christopher McComb, , "A Multi-Agent Reinforcement Learning Framework for Intelligent Manufacturing with Autonomous Mobile Robots"
  • Harshika Singh, Gaetano Cascini and Christopher McComb, , "Comparing design outcomes achieved by teams of expert and novice designers through agent-based simulation"
  • Jongho Park, Elizabeth Starkey, Nathan Choe and Christopher McComb, , "Emergence of Engineering Design Self-efficacy in Engineering Identity Development"
  • Justin Pierce, Glen Williams, Timothy W Simpson, Nicholas A. Meisel and Christopher McComb, , "Stochastically-Trained Physics-Informed Neural Networks: Application to Thermal Analysis in Metal Laser Powder Bed Fusion"
  • Matthew Li and Christopher McComb, , "Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations"
  • Gary M Stump, Michael A Yukish, Jonathan Cagan, Christopher McComb and Christopher McComb, , "Using Deep Learning to Simulate Multi-Disciplinary Design Teams"
  • Harshika Singh, Gaetano Cascini and Christopher McComb, , "Comparing Virtual and Face-to-Face Team Collaboration: Insights From an Agent-Based Simulation"
  • Binyang Song, Nicolas Soria Zurita, Hannah Nolte, Harshika Singh, Jonathan Cagan and Christopher McComb, , "Addressing Challenges to Problem Complexity: Effectiveness of AI Assistance During the Design Process"
  • Tobias Mahan, Pratima Saravanan, Sandeep Krishnakumar, Hannah Nolte, Christopher McComb and Jessica Menold, , "When the Going Gets Tough: Exploring Changes in the Startup Landscape Due to the Challenges of 2020"

Magazines/Trade Publications

  • Sierra Hicks, Lilian Alessa and Christopher McComb, 2021, "Agents and the Arctic: The Case for Increased Use of Agent-Based Modeling to Study Permafrost", The Arctic Institute
  • Ming Xiao, Lilian Alessa, Louise Farquharson, Dmitry Nicolsky, Benjamin Jones, Vladimir Romanovsky, Anne Jensen, Christopher McComb, X Zhang, Min Liew and X Ji, 2021, "Infrastructure and Community Resilience in the Changing Arctic: Status, Challenges, and Research Needs", The Arctic Institute

Abstracts

  • Glen Williams, Timothy W Simpson, Nicholas A. Meisel and Christopher McComb, 2019, "Design Repository Effectiveness for 3D Convolutional Neural Networks: Application to Additive Manufacturing"
  • Emmeline Evans and Christopher McComb, , "Pitch imperfect: designing 3D printed claves to mimic the sound of their wooden counterparts"

Research Projects

  • September 2019 - August 2024, "NNA Track 1: Collaborative Research: Resilience and Adaptation to the Effects of Permafrost Degradation Induced Coastal Erosion," (Sponsor: National Science Foundation).
  • July 2019 - June 2022, "Using Engineering Design Prototypes to Improve the Communication and Argumentation Skills of Undergraduate Engineering Students," (Sponsor: National Science Foundation).
  • May 2020 - April 2022, "RAPID: Investigating Effects of the Disruptive Shift to Online Courses on Identity Formation and Self-Efficacy of Students and Faculty in a First-Year Engineering Course," (Sponsor: National Science Foundation).
  • August 2018 - July 2022, "Investigating the Effectiveness of Machine Learning Paradigms for Supporting Engineering Designers in Rapidly Evolving Digital Manufacturing," (Sponsor: National Science Foundation).
  • September 2018 - August 2021, "Collaborative Research: Hybrid-Compatible Deformation Processing of Performance Critical Components," (Sponsor: National Science Foundation).
  • September 2019 - September 2021, "Smart Model-centric Life Cycle Approach to Collaborative Execution of Capital Projects," (Sponsor: Construction Industry Institute).
  • June 2019 - August 2021, "MOD: ElectroMechanical Design Platform: A Grammar-Driven Drone Design Testbed," (Sponsor: Carnegie Mellon University).
  • August 2017 - September 2021, "A Hybrid Computer Platform to Design, Guide, and Partner with Humans in the Team Problem-solving Process," (Sponsor: Carnegie Mellon University).
  • May 2020 - May 2021, "Human Error Reduction in Mack Truck Operations," (Sponsor: Carnegie Mellon University).
  • May 2020 - May 2021, "Automated Design of Multi-Scale Structures: ADeMS," (Sponsor: Institute for Computational and Data Sciences).
  • August 2019 - December 2020, "Part Screening and Redesign for Additive Manufacturing," (Sponsor: Rexnord Corporation).
  • May 2019 - May 2020, "Revising the SCS4STEM Curriculum in Response to ONR Demand Signal," (Sponsor: Center for Security Research and Education).

Honors and Awards

  • MASCed Marvel, Penn State's Manufacturing and Sterilization for COVID-19 Initiative, June 2020
  • Excellence in Design Science Award, 2019 International Conference on Engineering Design, August 2019
  • Reviewers' Favorite, 2019 International Conference on Engineering Design, August 2019
  • 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, Strategic Planning Committee, January 2021
  • Committee Work, Chairperson, Coordinator of International Engagements, March 2020
  • Committee Work, Member, SEDTAPP Curriculum Committee, June 2018
  • 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, Committee Member, SEDTAPP Representative, College of Engineering Activity Insight (AI) Faculty Users Committee, October 2017 - December 2018
  • 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, Organizer, Session Organizer, American Society of Mechanical Engineering, Intelligence Augmentation for Human Systems Integration, February 2021 - August 2021
  • Organizing Conferences and Service on Conference Committees, Co-Organizer, Symposium Co-Organizer, American Society of Mechanical Engineering, Design Theory, March 2021 - April 2021
  • Organizing Conferences and Service on Conference Committees, Co-Organizer, Symposium Co-Organizer, American Society of Mechanical Engineering, Intelligence Augmentation for Human Systems Integration, March 2021 - April 2021
  • Participation in or Service to Professional and Learned Societies, Chairperson, Laureate Selection Committee, Tau Beta Pi, January 2020 - January 2021
  • Organizing Conferences and Service on Conference Committees, Committee Member, Member of Organizing Committee, Knowledge-Based Systems in Computational Design, March 2020
  • Organizing Conferences and Service on Conference Committees, Organizer, Session Organizer, American Society of Mechanical Engineering, Entrepreneurship and Teams in Design, July 2020 - August 2020
  • Organizing Conferences and Service on Conference Committees, Committee Member, 8th International Conference on Research Into Design (ICoRD’21) Organizing Committee, May 2020 - January 2021
  • Organizing Conferences and Service on Conference Committees, Chairperson, Special Sessions Chair, American Society of Mechanical Engineers, Executive Committee, September 2020 - August 2021
  • Organizing Conferences and Service on Conference Committees, Committee Member, 2020 Design Computing and Cognition Program Committee, October 2019 - October 2020
  • Organizing Conferences and Service on Conference Committees, Organizer, Session Organizer, American Society of Mechanical Engineering, Design Potpourri: Biologically Inspired Design and Human Memory, August 2019 - August 2019
  • Organizing Conferences and Service on Conference Committees, Organizer, Session Organizer, American Society of Mechanical Engineering, Creativity and Ideation, August 2019 - August 2019
  • 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 - September 2019
  • Organizing Conferences and Service on Conference Committees, Committee Member, Hackathon Challenge Problem Lead, American Society of Mechanical Engineering, August 2019
  • Organizing Conferences and Service on Conference Committees, Moderator, Discussion Facilitator, The 21st Century “Classroom”, December 2019 - December 2019
  • 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, Chairperson, 2019 Tau Beta Pi District 3 Conference Planning Committee, November 2018 - February 2019
  • 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, 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
  • Participation in or Service to Professional and Learned Societies, Committee Member, Laureate Selection Committee, Tau Beta Pi, June 2018 - January 2020
  • Organizing Conferences and Service on Conference Committees, Committee Member, 2018 Design Computing and Cognition Program Committee, October 2017 - July 2018
  • Organizing Conferences and Service on Conference Committees, Committee Member, 2018 Tau Beta Pi District 3 Conference Planning Committee, November 2017 - February 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
  • Organizing Conferences and Service on Conference Committees, Moderator, Session Moderator, American Society of Engineering Education, M3C: Mentoring into a profession, July 2019
  • Organizing Conferences and Service on Conference Committees, Moderator, Discussion Facilitator, National Science Foundation, Artificial Intelligence and Machine Leanring, October 2019
 


 

About

The School of Engineering Design, Technology, and Professional Programs (SEDTAPP) delivers effective engineering education and unrivaled research opportunities 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. 

School of Engineering Design, Technology, and Professional Programs

213 Hammond Building

The Pennsylvania State University

University Park, PA 16802

Phone: 814-865-2952