Mcdonald, Anthony individual record
Assistant Professor - Term Appoint
Positions:
overview

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.

selected publications
Academic Articles12
Chapters1
  • 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).
Conference Papers3
  • 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.
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  • 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.
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  • 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.
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Email
mcdonald@tamu.edu
First Name
Anthony
Last Name
Mcdonald
mailing address
Texas A&M University; Industrial Engineering; 3131 TAMU
College Station, TX 77843-3131
USA