Christopher A. Mattson

Christopher A. Mattson received his BS and MS in mechanical engineering from Brigham Young University and his PhD in mechanical engineering from Rensselaer Polytechnic Institute. Prior to joining BYU, Prof. Mattson was the Global Director of Engineering Design and Research at ATL Technology and a member of the company’s executive committee. He established and managed ATL’s Silicon Valley office (1999-2000), and ATL’s twenty-five person Engineering Design Center in mainland China (2004-2006). He has designed or led the design of various products, which have been used by over 24 million people around the world. He has over 100 articles published in journals and conference proceedings, and has been an invited lecturer at universities the USA, Asia, Europe, and South America. He holds three US patents. He is a member of ASME, AIAA, and Sigma Xi. Prof. Mattson has served as a member of the AIAA Multidisciplinary Design Optimization Technical Committee since 2003.

Education:

Ph.D. 2003, Mechanical Engineering, Rensselaer Polytechnic Institute
M.S. 2001, Mechanical Engineering, Brigham Young University
B.S. 1999, Mechanical Engineering, Brigham Young University


Professional Experience:


05/2012 – Present Associate Professor of Mechanical Engineering, BYU
06/2006 – 04/2012 Assistant Professor of Mechanical Engineering, BYU
03/2004 – 06/2006 Global Director of Engineering Design and Research, ATL Technology
11/2003 – 03/2004 Post-Doctoral Research Associate, Rensselaer Polytechnic Institute
04/2001 – 11/2003 Research Assistant, Rensselaer Polytechnic Institute
04/2000 – 04/2001 Research Assistant, BYU
04/1999 – 04/2000 Mechanical Engineer, ATL Technology
08/1996 – 04/1999 Engineering Assistant, ATL Technology

Brigham Young University

- Global Product Development (ME EN 579)

- Advanced Product Development (ME EN 576)

- Integrated Product and Process Design 2 (ME EN 476)

- Integrated Product and Process Design 1 (ME EN 475)

- Introduction to Scientific Computing and Computer-Aided Engineering (ME EN 373)
 
- Mechanical System Design Fundamentals (ME EN 372)

 

Current Graduate Students

Wood, Amy, Ph.D. Dissertation in process, Brigham Young University.

Allen, Jeff, Ph.D. Dissertation in process, Brigham Young University.

Watson, Jason, M.S. Thesis in process, Brigham Young University.

 

Past PhD Students

Larson, Brad, Ph.D. 2012, Brigham Young University.

Harston, Stephen, Ph.D. 2012, Brigham Young University.

Lewis, Patrick, Ph.D. 2012, Brigham Young University.

 

Current Undergraduate Research Assistants

Charles Wood

Kendall Thacker

McCall Barger

Braden Hancock

Tim Nysetvold

 

Graduate Students Advised

Morrise, Jacob, M.S. 2012, Brigham Young University.

Anderson, Travis, M.S. 2013, Brigham Young University.

Campbell, Robert, M.S. 2013, Brigham Young University.

Curtis, Shane, M.S. 2012, Brigham Young University.

Tackett, Morgan, M.S. 2013, Brigham Young University.

Wasley, Nicholas, M.S. 2013, Brigham Young University.

LeBaron, Devin, M.S. 2013, Brigham Young University.

Duffield, Luke, M.S. 2013, Brigham Young University.

Knight, Darren, “Return on Investment Analysis for Implementing Barriers to Reverse Engineering and Imitation,” M.S. Thesis in process, Brigham Young University, June 2011.

Anderson, Nikki, “Characterization of the Initial Flow Rate of Information During Reverse Engineering,” M.S. Thesis in process, Brigham Young University, June 2011.

Barnum, Garrett J., "A Computationally-Assisted Methodology for Rapid Exploration of Design Possibilities in Conceptual Design," M.S. Thesis, Brigham Young University, August 2010.

Lewis, Patrick K., "Multiobjective Optimization Method for Identifying Modular Product Platforms and Modules that Account for Changing Needs Over Time," M.S. Thesis, Brigham Young University, August 2010.

Harston, Stephen P., "A Methodology for Designing Product Compnonents with Built-in Barriers to Reverse Engineering," M.S. Thesis, Brigham Young University, August 2009.

Haddock, Neil D., "Characterizing Material Property Tradeoffs of Polycrystalline Diamond for Design Evaluation and Selection," M.S. Thesis, Brigham Young University, August 2009.

Yearsley, Jonathan D., "Product Family Design Using Smart Pareto Filters," M.S. Thesis Brigham Young University, April 2009.

Bowman, K. Eric, "Optimization Constrained CAD Framework with Iso-Performing Design Generator," M.S. Thesis, Brigham Young University, December 2008.

Meaders, John C., "An Optimization-Based Framework for Designing Robust CAM-Based Constant-Force Compliant Mechanism," M.S. Thesis, Brigham Young University, August 2008.

 

Undergraduate Research Students Advised

Halgren, Kyle, Brigham Young University -- Currently working at Ford

Koecher, Michael – Co-authored publication as an undergraduate. Currently pursuing an M.S. degree from Brigham Young University.

Prasai, Dikshya – Co-authored publication as an undergraduate.

 

Wasley, Nicholas – Helped with proposal writing, and is currently pursing an M.S. degree at Brigham Young University.

 

Murray, Vance - Supported by the National Science Foundation, "CAREER: Design Strategies to Benefit from the Profit-by-Poverty-Alleviation Paradox," Mattson, C. A., (PI).

Curtis, Shane - Supported by the National Science Foundation, "A Framework for Maintaining Product Superiority by Designing Hardware that Protects Itself from Reverse Engineering," Mattson, C. A., (PI), Adams, B. L., (Co-PI).

Seegmiller, Dan - Supported by the National Science Foundation, "A Framework for Maintaining Product Superiority by Designing Hardware that Protects Itself from Reverse Engineering," Mattson, C. A., (PI), Adams, B. L., (Co-PI).

Boyce, Nathan - Received ORCA Grant, co-authored publication, currently at Air Force Institue of Technology pursuing MS in Engineering.

Harston, Stephen - Received ORCA Grant, co-authored multiple publications, current at Brigham Young University pursuing PhD in Mechanical Enginerring under Dr. Mattson's advisement.

Bowman, K. Eric - Co-authored publication, completed MS in Mechanical Engineering under Dr. Mattson's advisement.

 

Advising of Student Awards

Advisor for Patrick Lewis who won 3rd place in 13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference Student Paper Competition in September 2010. Lewis, P. K., Murray, V., and Mattson, C. A., "Accounting for Changing Customer Needs With s-Pareto Frontiers," AIAA-2010-9039, 13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, FortWorth TX, Sep. 13-15, 2010.

Advisor for students John Meaders and Stephen Harston who won the Jack Spergel Memorial Award for Outstanding Technical Paper at the 57th International Wire & Cable Symposium and Conference in Nov 2009.  Invited Paper "Recent Developments in the Design and Optimization of constant Force Electrical Contacts," by Meaders, J. C., Harston, S. P., and Mattson, C. A., Charlotte, NC, Nov 9, 2009.

Advisor for student (Stephen Harston) who was selected to represent BYU at the 2009 Utah Conference on Undergraduate Research (UCUR) "Capitalizing on Heterogeneity and Anistrophy to Find Designs with Unexpected Performance," Feb 20, 2009.

Advisor for John Meaders and Stephen Harston who won a Best Paper Award for the 37th International Institute of connector and Interconnection Technology (IICIT) Connector and Interconnection Symposium, "Recent Developments in the Design and Optimization of Constant Force Electrical Contacts," by Meaders, J. C., Harston, S. P., and Mattson, C. A., Naperville, Il, May 12-13, 2008.

 

Book Chapters

  1. Mattson, C. A., “Synthesis Through Rigid-Body Replacement,” in Handbook of Compliant Mechanisms edited by Howell, L.L., Magleby, S.P., and Olsen, B.M., Chapter 8, Wiley, 2013.

     

Commissioned Articles

  1. Mattson, C. A. “Year-In-Review, Multidisciplinary Design Optimization.” Aerospace America, 47.11 (2009): 26.

  2. Mattson, C. A., “Year-In-Review, Multidisciplinary Design Optimization,” Aerospace America, 46.12, (2008): 40. 

 

Journal Articles

  1. D. D. LeBaron and C. A. Mattson, “Using Topology Optimization to Numerically Improve

    Barriers to Reverse Engineering,” Journal of Mechanical Design, 2014, Vol. 136, No. 2, p 021007, 8 pages.

  2. Lewis, P. K., Tackett, M.W.P., and Mattson, C. A., “Considering Dynamic Pareto Frontiers

    in Decision Making,” Optimization and Engineering, 2013, Accepted

  3. Hancock, B. J., Mattson, C. A., “The Smart Normal Constraint Method for Directly Generating a Smart Pareto Set,” Structural and Multidisciplinary Optimization, 2013, published online DOI 10.1007/s00158-013-0925-6.

  4. Curtis, S. K., Hancock, B. J., and Mattson, C. A., “Usage Scenarios for Design Space Exploration with a Dynamic Multiobjective Optimization Formulation,” Research in Engineering Design, 2013, published online DOI 10.1007/s00163-013-0158-0.

  5. Lewis, P. K. and Mattson, C. A., “An Optimization-Based Method for Designing Modular Systems that Traverse Dynamic s-Pareto Frontiers,” Structural and Multidisciplinary Optimization, 2013, published online DOI 10.1007/s00158-013-0924-7.

  6. Curtis, S. K., Mattson, C. A., Hancock, B. J., and Lewis, P. K., Divergent Exploration in Design with a Dynamic Multiobjective Optimization Formulation, Structural and Multidisciplinary Optimization, Vol. 47, No. 5, pp 645-657, 2013, published Online DOI 10.1007/s00158-012-0855-8

  7. Curtis, S. K., Harston, S. P., and Mattson, C. A., “Characterizing the Effects of Learning when Reverse Engineering Multiple Samples of the Same Product,” Journal of Mechanical Design, Vol. 135, No. 1, 2013, pp. 011002, 8 pages.

  8. Anderson, T. V. and Mattson, C. A., “Propagating Skewness and Kurtosis Through Engineering Models for Low-Cost, Meaningful, Non-Deterministic Design,” Journal of Mechanical Design, Special Issue on Design Under Uncertainty, Vol. 134, No. 10, 2012, pp 100911, 9 pages.

  9. George, R. B., Colton, M. B., Mattson, C. A., Thomson, S. L., “A Differentially Driven Flapping Wing Mechanism for Force Analysis and Trajectory Optimization,” International Journal of Micro Air Vehicles, Vol. 4, No. 1, 2012, pp. 31-49.

  10. Larson, B. H., and Mattson, C. A., “Design Space Exploration for Quantifying and Improving System Model Execution Reliability,” Journal of Mechanical Design, Vol. 134, No. 4, 2012, pp 041010;

  11. Lewis, P. K., and Mattson, C. A., “A Method for Developing Systems that Traverse the Pareto Frontiers of Multiple System Concepts Over Time,” Structural and Multidisciplinary Optimization, 45(4), April, 2012, pp. 467–478.

  12. Anderson, T. V., Mattson, C. A., Larson, B. H., and Fullwood, D. T., “Efficient Propagation of Error through System Models for Functions Common in Engineering,” Journal of Mechanical Design, Vol. 134, 2012, pp 014501

  13. Takahashi, R., Prasai, D, Adams, B. L., and Mattson, C. A., “Hybrid Bishop-Hill Model for Elastic-Yield Limited Design With Non-Orthorhombic Polycrystalline Metals,” Journal of Engineering Materials and Technology, 134.1, 2011, pp. 011003 (12 pages).

  14. Curtis, S. K., Harston, S. P., and Mattson, C. A., “The Fundamentals of Barriers to Reverse Engineering and their Implementation into Mechanical Components,” Research in Engineering Design, Vol 22, 2011, pp. 245-261.

  15. Lewis, P. K., Murray, V. R., and Mattson, C. A., “A Design Optimization Strategy for Creating Devices that Traverse the Pareto Frontier Over Time,” Structural and Multidisciplinary Optimization, Vol. 43, No. 2, 2011, pp 191-204.

  16. Barnum, G. J. and Mattson, C. A.,“A Computationally-Assited Methodology for Preference-Guided Conceptual Design,” Journal of Mechanical Design, Vol. 132, No. 12, 2010, pp 121003 (9 pages).

  17. Harston, S. P., Mattson, C. A., and Adams, B. L., “Capitalizing on Heterogeneity and Anisotropy to Design Desirable Hardware that is Difficult to Reverse Engineer,” Journal of Mechanical Design, Vol. 132, 2010, pp 081001 (11 pages).

  18. Harston, S. P., and Mattson, C. A., “Metrics for Evaluating the Barrier and Time to Reverse Engineer a Product,” Journal of Mechanical Design, Vol. 132, 2010, pp 041009 (9 pages).

  19. Meaders, J. C., and Mattson, C. A., “Optimization of Near-constant Force Springs Subject to Mating Uncertainty,” Structural and Multidisciplinary Optimization, Vol. 41, No. 1, 2010, pp. 1-15.

  20. Mattson, C. A., Mullur, A. A., and Messac, A., “Case Studies in Concept Exploration and Selection with s-Pareto Frontiers,” International Journal of Product Development, Special Issue on Space Exploration and Design Optimization, Vol. 9, No.1/2/3, 2009, pp. 32–59.

  21. Weight, B. L., Mattson, C. A., Magleby, S. P., and Howell, L. L., “Configuration Selection, Modeling, and Preliminary Testing in Support of Constant Force Electrical Connectors,” ASME Journal of Electronic Packaging, Vol. 129, No. 3, 2007, pp 236-255.

  22. Mattson, C. A., and Messac, A., “Pareto Frontier Based Concept Selection under Uncertainty, with Visualization,” Optimization and Engineering, Kluwer Publishers - Special Issue on Multidisciplinary Design Optimization, Invited Paper, Vol. 6, No. 1, 2005, pp. 85-115.

  23. Mattson, C. A., Mullur, A. A., and Messac, A., “Smart Pareto Filter: Obtaining a Minimal Representation of Multiobjective Design Space,” Engineering Optimization, Vol. 36, No. 4, 2004, pp. 721-740.

  24. Messac, A. and Mattson, C. A., “Normal Constraint Method with Guarantee of Even Representation of Complete Pareto Frontier,” AIAA Journal, Vol. 42, No. 10, 2004, pp. 2101-2111.

  25. Mattson, C. A., Howell, L. L. and Magleby, S. P., “Development of Commercially Viable Compliant Mechanisms Using the Pseudo-Rigid-Body Model: Case Studies of Parallel Mechanisms,” Journal of Intelligent Material Systems and Structures, Vol. 15, No. 3, 2004, pp. 195-202.

  26. Messac, A., Ismail-Yahaya, A., and Mattson, C. A., “The Normalized Normal Constraint Method for Generating the Pareto Frontier,” Structural and Multidisciplinary Optimization, Vol. 25, No. 2, 2003, pp. 86-98.

  27. Mattson, C. A. and Messac, A., “Concept Selection Using s-Pareto Frontiers,” AIAA Journal, Vol. 41, No. 6, 2003, pp. 1190-1198.

  28. Maria, A., Mattson, C. A., Ismail-Yahaya, A., and Messac, A., “Linear Physical Programming for Production Planning Optimization,” Engineering Optimization, Taylor and Francis Publisher, Vol. 35(1), 2003, pp. 19-37.

  29. Messac, A., and Mattson, C. A., “Generating Well-Distributed Sets of Pareto Points for Engineering Design Using Physical Programming,” Optimization and Engineering, Kluwer Publishers, Vol. 3, Issue 4, 2002, pp. 431-450.

 

Dr. Mattson's primary area of interest is engineering design theory and methodology, with a particular emphasis on multiobjective/multidisciplinary optimization and decision-making at the conceptual and preliminary design stages. He is specifically interested in developing formal design methodologies that (i) integrate various discipline-specific models and analyses under a single non-deterministic optimization framework, (ii) capitalize on the immense power of computational optimization early in the design process – before design freedoms have been significantly reduced, and (iii) are pragmatic and easy for practicing engineers to use.

Applications range from multiscale design to engineering based poverty alleviation to systems design methods. Other areas of interest include uncertainty modeling, surrogate modeling, product family design, modular product design, and multinational engineering design.

Christopher A. Mattson received his BS and MS in mechanical engineering from Brigham Young University and his PhD in mechanical engineering from Rensselaer Polytechnic Institute. Prior to joining BYU, Prof. Mattson was the Global Director of Engineering Design and Research at ATL Technology and a member of the company’s executive committee. He established and managed ATL’s Silicon Valley office (1999-2000), and ATL’s twenty-five person Engineering Design Center in mainland China (2004-2006). He has designed or led the design of various products, which have been used by over 24 million people around the world. He has over 100 articles published in journals and conference proceedings, and has been an invited lecturer at universities the USA, Asia, Europe, and South America. He holds three US patents. He is a member of ASME, AIAA, and Sigma Xi. Prof. Mattson has served as a member of the AIAA Multidisciplinary Design Optimization Technical Committee since 2003.

Education:

Ph.D. 2003, Mechanical Engineering, Rensselaer Polytechnic Institute
M.S. 2001, Mechanical Engineering, Brigham Young University
B.S. 1999, Mechanical Engineering, Brigham Young University


Professional Experience:


05/2012 – Present Associate Professor of Mechanical Engineering, BYU
06/2006 – 04/2012 Assistant Professor of Mechanical Engineering, BYU
03/2004 – 06/2006 Global Director of Engineering Design and Research, ATL Technology
11/2003 – 03/2004 Post-Doctoral Research Associate, Rensselaer Polytechnic Institute
04/2001 – 11/2003 Research Assistant, Rensselaer Polytechnic Institute
04/2000 – 04/2001 Research Assistant, BYU
04/1999 – 04/2000 Mechanical Engineer, ATL Technology
08/1996 – 04/1999 Engineering Assistant, ATL Technology

Brigham Young University

- Global Product Development (ME EN 579)

- Advanced Product Development (ME EN 576)

- Integrated Product and Process Design 2 (ME EN 476)

- Integrated Product and Process Design 1 (ME EN 475)

- Introduction to Scientific Computing and Computer-Aided Engineering (ME EN 373)
 
- Mechanical System Design Fundamentals (ME EN 372)

 

Current Graduate Students

Wood, Amy, Ph.D. Dissertation in process, Brigham Young University.

Allen, Jeff, Ph.D. Dissertation in process, Brigham Young University.

Watson, Jason, M.S. Thesis in process, Brigham Young University.

 

Past PhD Students

Larson, Brad, Ph.D. 2012, Brigham Young University.

Harston, Stephen, Ph.D. 2012, Brigham Young University.

Lewis, Patrick, Ph.D. 2012, Brigham Young University.

 

Current Undergraduate Research Assistants

Charles Wood

Kendall Thacker

McCall Barger

Braden Hancock

Tim Nysetvold

 

Graduate Students Advised

Morrise, Jacob, M.S. 2012, Brigham Young University.

Anderson, Travis, M.S. 2013, Brigham Young University.

Campbell, Robert, M.S. 2013, Brigham Young University.

Curtis, Shane, M.S. 2012, Brigham Young University.

Tackett, Morgan, M.S. 2013, Brigham Young University.

Wasley, Nicholas, M.S. 2013, Brigham Young University.

LeBaron, Devin, M.S. 2013, Brigham Young University.

Duffield, Luke, M.S. 2013, Brigham Young University.

Knight, Darren, “Return on Investment Analysis for Implementing Barriers to Reverse Engineering and Imitation,” M.S. Thesis in process, Brigham Young University, June 2011.

Anderson, Nikki, “Characterization of the Initial Flow Rate of Information During Reverse Engineering,” M.S. Thesis in process, Brigham Young University, June 2011.

Barnum, Garrett J., "A Computationally-Assisted Methodology for Rapid Exploration of Design Possibilities in Conceptual Design," M.S. Thesis, Brigham Young University, August 2010.

Lewis, Patrick K., "Multiobjective Optimization Method for Identifying Modular Product Platforms and Modules that Account for Changing Needs Over Time," M.S. Thesis, Brigham Young University, August 2010.

Harston, Stephen P., "A Methodology for Designing Product Compnonents with Built-in Barriers to Reverse Engineering," M.S. Thesis, Brigham Young University, August 2009.

Haddock, Neil D., "Characterizing Material Property Tradeoffs of Polycrystalline Diamond for Design Evaluation and Selection," M.S. Thesis, Brigham Young University, August 2009.

Yearsley, Jonathan D., "Product Family Design Using Smart Pareto Filters," M.S. Thesis Brigham Young University, April 2009.

Bowman, K. Eric, "Optimization Constrained CAD Framework with Iso-Performing Design Generator," M.S. Thesis, Brigham Young University, December 2008.

Meaders, John C., "An Optimization-Based Framework for Designing Robust CAM-Based Constant-Force Compliant Mechanism," M.S. Thesis, Brigham Young University, August 2008.

 

Undergraduate Research Students Advised

Halgren, Kyle, Brigham Young University -- Currently working at Ford

Koecher, Michael – Co-authored publication as an undergraduate. Currently pursuing an M.S. degree from Brigham Young University.

Prasai, Dikshya – Co-authored publication as an undergraduate.

 

Wasley, Nicholas – Helped with proposal writing, and is currently pursing an M.S. degree at Brigham Young University.

 

Murray, Vance - Supported by the National Science Foundation, "CAREER: Design Strategies to Benefit from the Profit-by-Poverty-Alleviation Paradox," Mattson, C. A., (PI).

Curtis, Shane - Supported by the National Science Foundation, "A Framework for Maintaining Product Superiority by Designing Hardware that Protects Itself from Reverse Engineering," Mattson, C. A., (PI), Adams, B. L., (Co-PI).

Seegmiller, Dan - Supported by the National Science Foundation, "A Framework for Maintaining Product Superiority by Designing Hardware that Protects Itself from Reverse Engineering," Mattson, C. A., (PI), Adams, B. L., (Co-PI).

Boyce, Nathan - Received ORCA Grant, co-authored publication, currently at Air Force Institue of Technology pursuing MS in Engineering.

Harston, Stephen - Received ORCA Grant, co-authored multiple publications, current at Brigham Young University pursuing PhD in Mechanical Enginerring under Dr. Mattson's advisement.

Bowman, K. Eric - Co-authored publication, completed MS in Mechanical Engineering under Dr. Mattson's advisement.

 

Advising of Student Awards

Advisor for Patrick Lewis who won 3rd place in 13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference Student Paper Competition in September 2010. Lewis, P. K., Murray, V., and Mattson, C. A., "Accounting for Changing Customer Needs With s-Pareto Frontiers," AIAA-2010-9039, 13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, FortWorth TX, Sep. 13-15, 2010.

Advisor for students John Meaders and Stephen Harston who won the Jack Spergel Memorial Award for Outstanding Technical Paper at the 57th International Wire & Cable Symposium and Conference in Nov 2009.  Invited Paper "Recent Developments in the Design and Optimization of constant Force Electrical Contacts," by Meaders, J. C., Harston, S. P., and Mattson, C. A., Charlotte, NC, Nov 9, 2009.

Advisor for student (Stephen Harston) who was selected to represent BYU at the 2009 Utah Conference on Undergraduate Research (UCUR) "Capitalizing on Heterogeneity and Anistrophy to Find Designs with Unexpected Performance," Feb 20, 2009.

Advisor for John Meaders and Stephen Harston who won a Best Paper Award for the 37th International Institute of connector and Interconnection Technology (IICIT) Connector and Interconnection Symposium, "Recent Developments in the Design and Optimization of Constant Force Electrical Contacts," by Meaders, J. C., Harston, S. P., and Mattson, C. A., Naperville, Il, May 12-13, 2008.

 

Book Chapters

  1. Mattson, C. A., “Synthesis Through Rigid-Body Replacement,” in Handbook of Compliant Mechanisms edited by Howell, L.L., Magleby, S.P., and Olsen, B.M., Chapter 8, Wiley, 2013.

     

Commissioned Articles

  1. Mattson, C. A. “Year-In-Review, Multidisciplinary Design Optimization.” Aerospace America, 47.11 (2009): 26.

  2. Mattson, C. A., “Year-In-Review, Multidisciplinary Design Optimization,” Aerospace America, 46.12, (2008): 40. 

 

Journal Articles

  1. D. D. LeBaron and C. A. Mattson, “Using Topology Optimization to Numerically Improve

    Barriers to Reverse Engineering,” Journal of Mechanical Design, 2014, Vol. 136, No. 2, p 021007, 8 pages.

  2. Lewis, P. K., Tackett, M.W.P., and Mattson, C. A., “Considering Dynamic Pareto Frontiers

    in Decision Making,” Optimization and Engineering, 2013, Accepted

  3. Hancock, B. J., Mattson, C. A., “The Smart Normal Constraint Method for Directly Generating a Smart Pareto Set,” Structural and Multidisciplinary Optimization, 2013, published online DOI 10.1007/s00158-013-0925-6.

  4. Curtis, S. K., Hancock, B. J., and Mattson, C. A., “Usage Scenarios for Design Space Exploration with a Dynamic Multiobjective Optimization Formulation,” Research in Engineering Design, 2013, published online DOI 10.1007/s00163-013-0158-0.

  5. Lewis, P. K. and Mattson, C. A., “An Optimization-Based Method for Designing Modular Systems that Traverse Dynamic s-Pareto Frontiers,” Structural and Multidisciplinary Optimization, 2013, published online DOI 10.1007/s00158-013-0924-7.

  6. Curtis, S. K., Mattson, C. A., Hancock, B. J., and Lewis, P. K., Divergent Exploration in Design with a Dynamic Multiobjective Optimization Formulation, Structural and Multidisciplinary Optimization, Vol. 47, No. 5, pp 645-657, 2013, published Online DOI 10.1007/s00158-012-0855-8

  7. Curtis, S. K., Harston, S. P., and Mattson, C. A., “Characterizing the Effects of Learning when Reverse Engineering Multiple Samples of the Same Product,” Journal of Mechanical Design, Vol. 135, No. 1, 2013, pp. 011002, 8 pages.

  8. Anderson, T. V. and Mattson, C. A., “Propagating Skewness and Kurtosis Through Engineering Models for Low-Cost, Meaningful, Non-Deterministic Design,” Journal of Mechanical Design, Special Issue on Design Under Uncertainty, Vol. 134, No. 10, 2012, pp 100911, 9 pages.

  9. George, R. B., Colton, M. B., Mattson, C. A., Thomson, S. L., “A Differentially Driven Flapping Wing Mechanism for Force Analysis and Trajectory Optimization,” International Journal of Micro Air Vehicles, Vol. 4, No. 1, 2012, pp. 31-49.

  10. Larson, B. H., and Mattson, C. A., “Design Space Exploration for Quantifying and Improving System Model Execution Reliability,” Journal of Mechanical Design, Vol. 134, No. 4, 2012, pp 041010;

  11. Lewis, P. K., and Mattson, C. A., “A Method for Developing Systems that Traverse the Pareto Frontiers of Multiple System Concepts Over Time,” Structural and Multidisciplinary Optimization, 45(4), April, 2012, pp. 467–478.

  12. Anderson, T. V., Mattson, C. A., Larson, B. H., and Fullwood, D. T., “Efficient Propagation of Error through System Models for Functions Common in Engineering,” Journal of Mechanical Design, Vol. 134, 2012, pp 014501

  13. Takahashi, R., Prasai, D, Adams, B. L., and Mattson, C. A., “Hybrid Bishop-Hill Model for Elastic-Yield Limited Design With Non-Orthorhombic Polycrystalline Metals,” Journal of Engineering Materials and Technology, 134.1, 2011, pp. 011003 (12 pages).

  14. Curtis, S. K., Harston, S. P., and Mattson, C. A., “The Fundamentals of Barriers to Reverse Engineering and their Implementation into Mechanical Components,” Research in Engineering Design, Vol 22, 2011, pp. 245-261.

  15. Lewis, P. K., Murray, V. R., and Mattson, C. A., “A Design Optimization Strategy for Creating Devices that Traverse the Pareto Frontier Over Time,” Structural and Multidisciplinary Optimization, Vol. 43, No. 2, 2011, pp 191-204.

  16. Barnum, G. J. and Mattson, C. A.,“A Computationally-Assited Methodology for Preference-Guided Conceptual Design,” Journal of Mechanical Design, Vol. 132, No. 12, 2010, pp 121003 (9 pages).

  17. Harston, S. P., Mattson, C. A., and Adams, B. L., “Capitalizing on Heterogeneity and Anisotropy to Design Desirable Hardware that is Difficult to Reverse Engineer,” Journal of Mechanical Design, Vol. 132, 2010, pp 081001 (11 pages).

  18. Harston, S. P., and Mattson, C. A., “Metrics for Evaluating the Barrier and Time to Reverse Engineer a Product,” Journal of Mechanical Design, Vol. 132, 2010, pp 041009 (9 pages).

  19. Meaders, J. C., and Mattson, C. A., “Optimization of Near-constant Force Springs Subject to Mating Uncertainty,” Structural and Multidisciplinary Optimization, Vol. 41, No. 1, 2010, pp. 1-15.

  20. Mattson, C. A., Mullur, A. A., and Messac, A., “Case Studies in Concept Exploration and Selection with s-Pareto Frontiers,” International Journal of Product Development, Special Issue on Space Exploration and Design Optimization, Vol. 9, No.1/2/3, 2009, pp. 32–59.

  21. Weight, B. L., Mattson, C. A., Magleby, S. P., and Howell, L. L., “Configuration Selection, Modeling, and Preliminary Testing in Support of Constant Force Electrical Connectors,” ASME Journal of Electronic Packaging, Vol. 129, No. 3, 2007, pp 236-255.

  22. Mattson, C. A., and Messac, A., “Pareto Frontier Based Concept Selection under Uncertainty, with Visualization,” Optimization and Engineering, Kluwer Publishers - Special Issue on Multidisciplinary Design Optimization, Invited Paper, Vol. 6, No. 1, 2005, pp. 85-115.

  23. Mattson, C. A., Mullur, A. A., and Messac, A., “Smart Pareto Filter: Obtaining a Minimal Representation of Multiobjective Design Space,” Engineering Optimization, Vol. 36, No. 4, 2004, pp. 721-740.

  24. Messac, A. and Mattson, C. A., “Normal Constraint Method with Guarantee of Even Representation of Complete Pareto Frontier,” AIAA Journal, Vol. 42, No. 10, 2004, pp. 2101-2111.

  25. Mattson, C. A., Howell, L. L. and Magleby, S. P., “Development of Commercially Viable Compliant Mechanisms Using the Pseudo-Rigid-Body Model: Case Studies of Parallel Mechanisms,” Journal of Intelligent Material Systems and Structures, Vol. 15, No. 3, 2004, pp. 195-202.

  26. Messac, A., Ismail-Yahaya, A., and Mattson, C. A., “The Normalized Normal Constraint Method for Generating the Pareto Frontier,” Structural and Multidisciplinary Optimization, Vol. 25, No. 2, 2003, pp. 86-98.

  27. Mattson, C. A. and Messac, A., “Concept Selection Using s-Pareto Frontiers,” AIAA Journal, Vol. 41, No. 6, 2003, pp. 1190-1198.

  28. Maria, A., Mattson, C. A., Ismail-Yahaya, A., and Messac, A., “Linear Physical Programming for Production Planning Optimization,” Engineering Optimization, Taylor and Francis Publisher, Vol. 35(1), 2003, pp. 19-37.

  29. Messac, A., and Mattson, C. A., “Generating Well-Distributed Sets of Pareto Points for Engineering Design Using Physical Programming,” Optimization and Engineering, Kluwer Publishers, Vol. 3, Issue 4, 2002, pp. 431-450.

 

Dr. Mattson's primary area of interest is engineering design theory and methodology, with a particular emphasis on multiobjective/multidisciplinary optimization and decision-making at the conceptual and preliminary design stages. He is specifically interested in developing formal design methodologies that (i) integrate various discipline-specific models and analyses under a single non-deterministic optimization framework, (ii) capitalize on the immense power of computational optimization early in the design process – before design freedoms have been significantly reduced, and (iii) are pragmatic and easy for practicing engineers to use.

Applications range from multiscale design to engineering based poverty alleviation to systems design methods. Other areas of interest include uncertainty modeling, surrogate modeling, product family design, modular product design, and multinational engineering design.