Dr. McDonald's research focuses on applying machine learning to relevant problems in human factors in the transportation and healthcare domains. Specifically he is interested in using knowledge generated from machine learning algorithms to improve existing models of human behavior and improving machine learning algorithm performance by combining traditional approaches with novel data analysis and domain expertise.
- Ph.D. in Industrial Engineering, University of Wisconsin - Madison - (Madison, Wisconsin, United States) 2014
- M.S. in industrial Engineering, University of Wisconsin - Madison - (Madison, Wisconsin, United States) 2012
- B.S. in Mechanical Engineering, Massachusetts Institute of Technology - (Cambridge, Massachusetts, United States) 2010
- Alambeigi, H., & McDonald, A. D. (2021). A Bayesian Regression Analysis of the Effects of Alert Presence and Scenario Criticality on Automated Vehicle Takeover Performance.. Human Factors The Journal of the Human Factors and Ergonomics Society. 187208211010004-001872082110100.
- Sadeghi, M., Sasangohar, F., Hegde, S., & McDonald, A. (2021). Investigating Heart Rate Patterns During Hyperarousal Events Among Veterans Who Have Posttraumatic Stress Disorder (PTSD). Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care. 10(1), 91-91.
- Kim, A., Alambeigi, H., Goddard, T., McDonald, A., & Anderson, B. (2021). Linking Threat-Related Attentional Biases Toward Bicyclists to Driving Behavior. Journal of Vision. 21(9), 1861-1861.
- Geiger-Brown, J., & McDonald, A. (2021). Mitigating Drowsy Driving Risk for Night Shift Nurses. AMERICAN JOURNAL OF NURSING. 121(10), 11-11.
- Sarkar, A., Hickman, J. S., McDonald, A. D., Huang, W., Vogelpohl, T., & Markkula, G. (2021). Steering or braking avoidance response in SHRP2 rear-end crashes and near-crashes: A decision tree approach. Accident Analysis & Prevention. 154, 106055-106055.
- Brown, T., Lee, J., Schwarz, C., Fiorentino, D., & McDonald, A. (2014). Assessing the feasibility of vehicle-based sensors to detect drowsy driving. Feasibility of Vehicle-Based Sensors to Detect Drowsy Driving and Alcohol Impairment (with accompanying CD-ROM). (pp. 1-56).
- McLaurin, E., McDonald, A. D., Lee, J. D., Aksan, N., Dawson, J., Tippin, J., & Rizzo, M. (2014). Variations on a theme. Proceedings of the Human Factors and Ergonomics Society. 58(1), 2107-2111.
- McDonald, A. D., Lee, J. D., Aksan, N. S., Dawson, J. D., Tippin, J., & Rizzo, M. (2013). Highway Healthcare. Proceedings of the Human Factors and Ergonomics Society. 57(1), 1859-1863.
- McDonald, A. D., Schwarz, C., Lee, J. D., & Brown, T. L. (2012). Real-Time Detection of Drowsiness Related Lane Departures Using Steering Wheel Angle. Proceedings of the Human Factors and Ergonomics Society. 56(1), 2201-2205.