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Tony McDonald

Tony McDonald

Associate Professor

Department

Industrial & Systems Engineering

Contact

Mechanical Engineering Bldg
1513 University Ave
Madison, WI

  • PhD 2014, University of Wisconsin-Madison
  • MS 2012, University of Wisconsin-Madison
  • BS 2010, Massachusetts Institute of Technology

  • Machine learning
  • Human factors
  • Human behavior modeling
  • Fatigue
  • Automated vehicles

  • 2020 Corrie and Jim Furber ‘64 Faculty Fellowship
  • 2020 HFES Surface Transportation Technical Group, Stephanie Binder Young Professional Award
  • 2019 HFES Human Factors, Prize for Excellence in Human Factors Research
  • 2018 Texas A&M Human Factors and Ergonomics Society, Distinguished Lecture Award
  • 2018 Texas A&M University Residence Life, Honoring Excellence Award
  • 2014 HFES Surface Transportation Technical Group, Best Student Paper Award
  • 2013 Phi Kappa Phi Honor Society, Inducted, Phi Kappa Phi
  • 2012 HFES, Alphonse Chapanis Best Student Paper Award
  • 2012 HFES Surface Transportation Technical Group, Best Student Paper Award
  • 2011 Alpha Pi Mu Industrial Engineering Honor Society, Inducted, Alpha Pi Mu

  • Zhang, Y., Mehta, R. K., & McDonald, T. (2024). Eye, Heart, the Brain: The Psychophysiology of Trust in AVs. In Proceedings of the Human Factors and Ergonomics Society (p. 25-26) https://doi.org/10.1177/10711813241280937
  • Ma, X., Xiao, X., Mehta, R., & McDonald, T. (2024). Understanding Reliance Decisions in Automated Vehicles Using Random Forest Analysis. In Proceedings of the Human Factors and Ergonomics Society (p. 1473-1476) https://doi.org/10.1177/10711813241262982
  • Ma, X., Zakarian, V., & McDonald, T. (2024). Understanding the Workload of Remote Truck Operators with Discrete Event Simulation. In Proceedings of the Human Factors and Ergonomics Society (p. 947-948) https://doi.org/10.1177/10711813241262989
  • Wei, R., Lambert, N., McDonald, T., Garcia, A., & Calandra, R. (2024). A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning. Transactions on Machine Learning Research, 2024.
  • Wei, R., McDonald, T., Mehta, R. K., & Garcia, A. (2024). Active Inference Models of AV Takeovers: Relating Model Parameters to Trust, Situation Awareness, and Fatigue. Human Factors https://doi.org/10.1177/00187208241295932
  • Park, J., Zahabi, M., Zheng, X., Ory, M., Benden, M., McDonald, T., & Li, W. (2024). Automated vehicles for older adults with cognitive impairment: a survey study. Ergonomics, 67(6), 831-848 https://doi.org/10.1080/00140139.2024.2302020
  • Engström, J., Wei, R., McDonald, T., Garcia, A., O'Kelly, M., & Johnson, L. (2024). Resolving uncertainty on the fly: modeling adaptive driving behavior as active inference. Frontiers in Neurorobotics, 18 https://doi.org/10.3389/fnbot.2024.1341750
  • Donmez, B., McDonald, T., Lee, J. D., & Boyle, L. N. (2023). Road user behavior: Describing, inferring, predicting and beyond. Transportation Research Interdisciplinary Perspectives, 22 https://doi.org/10.1016/j.trip.2023.100932
  • Danesh, V., McDonald, T., McPeake, J., Eaton, T. L., Potter, K., Su, H., Jackson, J. C., & Boehm, L. M. (2023). Driving decisions after critical illness: Qualitative analysis of patient-provider reviews during ICU recovery clinic assessments. International Journal of Nursing Studies, 146 https://doi.org/10.1016/j.ijnurstu.2023.104560
  • Alambeigi, H., McDonald, T., Manser, M., Shipp, E., Lenneman, J., Pulver, E. M., & Christensen, S. (2023). Predicting Driver Errors during Automated Vehicle Takeovers. Transportation Research Record, 2677(9), 410-420 https://doi.org/10.1177/03611981231159122

  • I SY E 516 - Introduction to Decision Analysis (Spring 2025)
  • I SY E 699 - Advanced Independent Study (Spring 2025)
  • I SY E 790 - Master's Research and Thesis (Spring 2025)
  • I SY E 890 - Pre-Dissertator's Research (Spring 2025)
  • I SY E 350 - Industrial Engineering Design I (Fall 2024)
  • I SY E 649 - Interactive Data Analytics (Fall 2024)
  • I SY E 699 - Advanced Independent Study (Fall 2024)
  • I SY E 790 - Master's Research and Thesis (Fall 2024)
  • I SY E 890 - Pre-Dissertator's Research (Fall 2024)
  • I SY E 699 - Advanced Independent Study (Summer 2024)
  • I SY E 890 - Pre-Dissertator's Research (Summer 2024)
  • I SY E 562 - Human Factors of Data Science and Machine Learning (Spring 2024)
  • I SY E 699 - Advanced Independent Study (Spring 2024)
  • I SY E 790 - Master's Research and Thesis (Spring 2024)
  • I SY E 890 - Pre-Dissertator's Research (Spring 2024)
  • I SY E 649 - Interactive Data Analytics (Fall 2023)
  • I SY E 699 - Advanced Independent Study (Fall 2023)
  • I SY E 790 - Master's Research and Thesis (Fall 2023)
  • I SY E 890 - Pre-Dissertator's Research (Fall 2023)
  • I SY E 790 - Master's Research and Thesis (Summer 2023)