Tony McDonald Associate Professor Department Industrial & Systems Engineering Contact Mechanical Engineering Bldg 1513 University Ave Madison, WI p: (630) 408-9060 e: admcdonald@wisc.edu Education PhD 2014, University of Wisconsin-MadisonMS 2012, University of Wisconsin-MadisonBS 2010, Massachusetts Institute of Technology Research interests Machine learningHuman factorsHuman behavior modelingFatigueAutomated vehicles Awards 2020 Corrie and Jim Furber ‘64 Faculty Fellowship2020 HFES Surface Transportation Technical Group, Stephanie Binder Young Professional Award2019 HFES Human Factors, Prize for Excellence in Human Factors Research2018 Texas A&M Human Factors and Ergonomics Society, Distinguished Lecture Award2018 Texas A&M University Residence Life, Honoring Excellence Award2014 HFES Surface Transportation Technical Group, Best Student Paper Award2013 Phi Kappa Phi Honor Society, Inducted, Phi Kappa Phi2012 HFES, Alphonse Chapanis Best Student Paper Award2012 HFES Surface Transportation Technical Group, Best Student Paper Award2011 Alpha Pi Mu Industrial Engineering Honor Society, Inducted, Alpha Pi Mu Recent publications 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/10.1177/10711813241280937Ma, 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/10.1177/10711813241262982Ma, 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/10.1177/10711813241262989Wei, 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/10.1177/00187208241295932Park, 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/10.1080/00140139.2024.2302020Engström, 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.2024.1341750Donmez, 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.2023.100932Danesh, 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.2023.104560Alambeigi, 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 Courses 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)