Dr. Zahabi's research is focused on applying Human Systems Engineering theories and principles in design and analysis of complex human-in-the-loop systems. In particular, she is interested in usability evaluation and interface design of health information technologies; law enforcement in-vehicle technology design, training, driving distraction and multi-tasking performance under high workload driving conditions; and virtual reality application to improve human cognitive and psychomotor performance. Other research interests include interruptions in healthcare settings, patient safety monitoring and adverse event prediction using data analytics, and applications of cognitive performance modeling and system safety analyses techniques in different domains.
- Ph.D. in Industrial & Systems Engineering, minor in Statistics, North Carolina State University - (Raleigh, North Carolina, United States) 2017
- M.S. in Industrial & Systems Engineering, Sharif University of Technology - (Tehran, Iran) 2013
- B.S. in Industrial & Systems Engineering, Sharif University of Technology - (Tehran, Iran) 2011
- Zahabi, M., Pankok, C., & Park, J. (2020). Human factors in police mobile computer terminals: A systematic review and survey of recent literature, guideline formulation, and future research directions. Applied Ergonomics. 84, 103041-103041.
- Zahabi, M., Razak, A., Shortz, A. E., Mehta, R. K., & Manser, M. (2020). Evaluating advanced driver-assistance system trainings using driver performance, attention allocation, and neural efficiency measures. Applied Ergonomics. 84, 103036-103036.
- Zahabi, M., & Kaber, D. (2018). Effect of police mobile computer terminal interface design on officer driving distraction. Applied Ergonomics. 67, 26-38.
- Zahabi, M., & Kaber, D. (2018). Identification of task demands and usability issues in police use of mobile computing terminals. Applied Ergonomics. 66, 161-171.
- White, M. M., Zhang, W., Winslow, A. T., Zahabi, M., Zhang, F., Huang, H. e., & Kaber, D. B. (2017). Usability Comparison of Conventional Direct Control Versus Pattern Recognition Control of Transradial Prostheses. IEEE Transactions on Human-Machine Systems. 47(6), 1146-1157.
- Zhu, B., Kaber, D. B., Zahabi, M., & Ma, J. (2017). Effect of Feedback Type and Modality on Human Motivation. 2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC). 2017-January, 2838-2843.
- Zhang, W., White, M., Zahabi, M., Winslow, A. T., Zhang, F., Huang, H. e., & Kaber, D. (2016). Cognitive Workload in Conventional Direct Control vs. Pattern Recognition Control of an Upper-Limb Prosthesis. 2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC). 002335-002340.
- Zahabi, M., Zhang, W., Pankok, C., Lau, M. Y., Shirley, J., & Kaber, D. B. (2016). Effect of Physical Workload on Navigation Task Performance by High-Fit Young Males. 2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC). 000350-000354.
- Older adults prefer videos to learn driver assistance tech Futurity April 23, 2020
- Study Shows Senior Drivers Prefer Watching Videos To Learn Driver Assistance Technologies Texas A&M Today April 22, 2020
- Improving Prosthetics For Upper Limb Amputees Texas A&M Today January 16, 2020