معرفی
Maryam Zahabi is an Associate Professor in the Department of Industrial & Systems Engineering at Texas A&M University, holding the Mike and Sugar Barnes Faculty Fellowship. She leads the Human-Systems Integration (HSI) Lab, focusing on enhancing human performance through Human-Systems Engineering methods. Her work addresses complex systems challenges in healthcare, transportation, and assistive technologies.
Dr. Zahabi holds a Ph.D. in Industrial & Systems Engineering and a Ph.D. minor in Statistics from North Carolina State University (2017). Her research emphasizes cognitive workload assessment, human-robot interaction, and police officer performance optimization. She has pioneered studies on prosthetic device usability, in-vehicle technology for law enforcement, and adaptive training systems.
- Research Highlights:
- Developed neuroadaptive cockpit systems for pilots
- Created SUMA metric for accessibility-focused usability evaluation
- Designed adaptive training frameworks for law enforcement
- Recent Focus Areas:
- Autonomous vehicle interfaces for aging populations
- Cognitive workload classification via physiological signals
- Prosthetic device evaluation in virtual reality environments
Her 2024 publications reveal growing emphasis on law enforcement technology adaptation, cognitive biases in aviation, and neuroadaptive systems. Recent awards include the IISE Early Career Award (2024) and NSF CAREER Award (2021). She actively advises PhD students like Junho Park (now Assistant Professor at Santa Clara University) and Vanessa Nasr (2024 Student Honors recipient).
Dr. Zahabi’s grants include NSF CAREER funding and TEES Young Faculty support. Her lab collaborates on projects like ADAPT-LEO (Adaptive Driver Assistance for Law Enforcement) and HSI Lab’s virtual reality training systems. Current initiatives explore police vehicle cybersecurity, EMG-based prosthetic controls, and human-AI collaboration in critical tasks.
