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Kate Fu

Kate Fu

Associate Professor

Dr. Kate Fu is an Associate Professor of Mechanical Engineering at the University of Wisconsin-Madison. From 2014 to 2021, she was an Assistant and Associate Professor of Mechanical Engineering at Georgia Institute of Technology. Prior to these appointments, she was a Postdoctoral Fellow at Massachusetts Institute of Technology and Singapore University of Technology and Design (SUTD). In May 2012, she completed her Ph.D. in Mechanical Engineering at Carnegie Mellon University. She received her M.S. in Mechanical Engineering from Carnegie Mellon in 2009, and her B.S. in Mechanical Engineering from Brown University in 2007. Her work has focused on studying the engineering design process through cognitive studies and extending those findings to the development of methods and tools to facilitate more effective and inspired design and innovation. Dr. Fu is a recipient of the NSF CAREER Award, the ASME Design Theory and Methodology Young Investigator Award, the ASME Atlanta Section 2015 Early Career Engineer of the Year Award, and was an Achievement Rewards For College Scientists (ARCS) Foundation Scholar. Dr. Fu is an ASME Fellow.

Department

Mechanical Engineering

Contact

Mechanical Engineering Bldg
1513 University Ave
Madison, WI

Professor Kate Fu, Mechanical Engineering, University of Wisconsin-Madison

  • PhD 2012, Carnegie Mellon University
  • MS 2009, Carnegie Mellon University
  • BS 2007, Brown University

  • CAE & Design
  • Innovation
  • Creativity
  • Design Theory and Methodology
  • Computational Design Tools
  • Design Science
  • Design Cognition
  • Design-by-Analogy
  • Data Mining, Machine Learning, Artificial Intelligence

  • 2022 International Symposium on Academic Makerspaces (ISAM) 2022, Best Paper Award
  • 2022 Southern Regional Education Board Atlanta, GA, Southern Regional Education Board (SREB) State Doctoral Scholars Program Mentor of the Year Award
  • 2020 ASME, ASME Design Theory and Methodology Young Investigator Award
  • 2020 Georgia Institute of Technology, GT Class of 1934 Outstanding Service Award
  • 2019 National Science Foundation, NSF CAREER Award
  • 2019 Georgia Institute of Technology, GT LGBTQIA Faculty/Staff Leadership Award
  • 2019 ASME, ASME Journal of Mechanical Design 2018 Reviewer of the Year Award
  • 2018 Georgia Institute of Technology, GT CTL Thank a Teacher Award (2)
  • 2018 Georgia Institute of Technology, GT Diversity Champion 2018 Faculty Award
  • 2016 Georgia Institute of Technology, GT GWW Teaching Fellow
  • 2015 ASME, ASME Design Engineering Division Design Education Committee (DEC) – Certificate of Appreciation for Service
  • 2015 Georgia Institute of Technology, GT CTL Class of 1969 Teaching Fellow
  • 2015 ASME , ASME Atlanta Section 2015 Early Career Engineer of the Year
  • 2013 International Conference on Engineering Design 2013, Design Society, Reviewer’s Favourite Award
  • 2012 Design Computing and Cognition Conference (DCC), Texas A&M University, Best Design Cognition Paper Prize
  • 2012 2012 ASME Design Theory and Methodology (DTM) Conference, ASME, Best Paper Award
  • 2010 Carnegie Mellon University, John and Claire Bertucci Graduate Fellowship
  • 2007 Achievement Rewards For College Scientists (ARCS) Foundation, Achievement Rewards For College Scientists (ARCS) Foundation Scholar

  • DeVol, N., Salda~na, Christopher,, & Fu, K. (2024). Methods for the Automated Determination of Sustained Maximum Amplitudes in Oscillating Signals. Journal of Computing and Information Science in Engineering, 24, 024502--1.
  • DeWitte, L., & Fu, K. (2023). A Prediction Method for Catchment Efficiency Loss due to Coaxial Nozzle Wear in Powder Fed Directed Energy Deposition Systems. In International Manufacturing Science and Engineering Conference (p. V001T01A031).
  • Koolman, E., Yraguen, B. F., Moore, R., & Fu, K. (2023). Board 129: Analyzing Student Learning Level for the Authentic Learning Assignment" Design Your Own Problem" Using Bloom’s Taxonomy. In 2023 ASEE Annual Conference & Exposition.
  • Grondin, M. M., Swart, M. I., Pandey, A. R., Fu, K., & Nathan, M. (2023). How Does Students’ Use of Speech Ground and Embody Their Mechanical Reasoning during Engineering Discourse?. In 2023 ASEE Annual Conference & Exposition.
  • Schauer, A. M., Kohls, A., & Fu, K. (2023). Push and Pull: Exploring the Engineering Retention Problem for Underrepresented Groups and Gauging Interest in Interdisciplinary Integration into Undergraduate Curriculum. In 2023 ASEE Annual Conference & Exposition.
  • Murphy, A. R., Whittle, A. S., Fu, K., & Linsey, J. S. (2023). The Impact of Prototyping Strategies on Computer-Aided Design Behavior. In 2023 ASEE Annual Conference & Exposition.
  • Alexander, Z., Feldhausen, T., Saleeby, K., Kurfess, T., Fu, K., & Saldana, C. (2023). Data-Driven Approaches for Bead Geometry Prediction via Melt Pool Monitoring. Journal of Manufacturing Science and Engineering, 1--19.
  • Fillingim, K. B., Shapiro, H., & Fu, K. (2023). Error Management Bias in Student Design Teams. Journal of Mechanical Design, 145(4), 042302.
  • Fillingim, K. B., & Fu, K. (2023). Framework for the Evolution of Heuristics in Advanced Manufacturing. Journal of Mechanical Design, 145(1), 011401.
  • Dutta, N. S., Gill, E., Arkhurst, B. K., Hallisey, M., Fu, K., & Anderson, K. (2023). JUST-R metrics for considering energy justice in early-stage energy research. Joule, 7(3), 431--437.

  • M E 231 - Geometric Modeling for Design and Manufacturing (Spring 2025)
  • M E 352 - Interdisciplinary Experiential Design Projects II (Spring 2025)
  • M E 790 - Master's Research and Thesis (Spring 2025)
  • M E 890 - PhD Research and Thesis (Spring 2025)
  • M E 231 - Geometric Modeling for Design and Manufacturing (Fall 2024)
  • M E 351 - Interdisciplinary Experiential Design Projects I (Fall 2024)
  • M E 790 - Master's Research and Thesis (Fall 2024)
  • M E 890 - PhD Research and Thesis (Fall 2024)
  • M E 999 - Advanced Independent Study (Fall 2024)
  • M E 890 - PhD Research and Thesis (Summer 2024)
  • M E 489 - Honors in Research (Spring 2024)
  • M E 790 - Master's Research and Thesis (Spring 2024)
  • M E 890 - PhD Research and Thesis (Spring 2024)
  • M E 231 - Geometric Modeling for Design and Manufacturing (Fall 2023)
  • M E 489 - Honors in Research (Fall 2023)
  • M E 790 - Master's Research and Thesis (Fall 2023)
  • M E 890 - PhD Research and Thesis (Fall 2023)
  • M E 790 - Master's Research and Thesis (Summer 2023)
  • M E 890 - PhD Research and Thesis (Summer 2023)