Maryam Zahabi

Educational Background

- Human performance modeling
- Human-computer interaction
- Human factors in surface transportation
- Assistive technology

IISE Hamed K. Eldin Outstanding Early Career IE in Academia Award, IISE, 2024
William C. Howell Young Investigator Award, HFES, 2024
TEES Young Faculty Fellow Award, Texas A&M University, 2024
Young Investigator Award, Applied Ergonomics Conference/Texas A&M Ergo Center, 2022
Mike and Sugar Barnes Faculty Fellow I, Wm Michael Barnes '64 Department of Industrial and Systems Engineering, 2021
Stephanie Binder Young Professional Award, Human Factors & Ergonomics Society - Surface Transportation Technical Group, 2021
CAREER Award, National Science Foundation, 2021

Wozniak, D., & Zahabi, M. (2024). Cognitive workload classification of law enforcement officers using physiological responses. Applied Ergonomics, 119, 104305.
Park, J., Berman, J., Dodson, A., Liu, Y., Armstrong, M., Huang, H., ... & Zahabi, M. (2024). Assessing workload in using electromyography (EMG)-based prostheses. Ergonomics, 67(2), 257-273.
Park, J., Zahabi, M., Huang, H., & Benden, M. (2024). A novel approach for predicting usability of upper limb prostheses. Applied Ergonomics, 120, 104344.
Zahabi, M., Nasr, V., Mohammed Abdul Razak, A., Patranella, B., McCanless, L., & Maredia, A. (2023). Effect of secondary tasks on police officer cognitive workload and performance under normal and pursuit driving situations. Human factors, 65(5), 809-822.
Park, J., Wozniak, D., & Zahabi, M. (2024). Modeling novice law enforcement officers’ interaction with in-vehicle technology. Applied Ergonomics, 114, 104154.