Scholars

Associate Professor

Positions:

Graduate Faculty, Center for Remote Health Technologies and Systems, Texas A&M Engineering Experiment Station (TEES)
Associate Professor, Industrial and Systems Engineering, College of Engineering

Research Areas:

Human physiology, Remote sensing, Technology, Human-machine systems, Brain, Human engineering, Wearable technology, Neurosciences, Muscles

Single Page Bio

rmehta@tamu.edu

1 979 845 3390

Co-author Network

Map of Science

Co-investigator Network

ORCID

0000-0002-8254-8365

Research Areas:

Human physiology, Remote sensing, Technology, Human-machine systems, Brain, Human engineering, Wearable technology, Neurosciences, Muscles

overview

Research in the NeuroErgonomics Lab utilizes theories, methods, and techniques from physiology, biomechanics, neuroscience, psychology, and public health to better understand operator behavior and capabilities when interacting with simple and complex work systems. HF/E investigations involve examining multifactorial causes and consequences of operator stress and fatigue, brain-behavior relationships with changing workforce demographics (aging, obesity), and development of HF/E tools to assess operator health and performance in hazardous work environments.

education and training

Ph.D. in Industrial and Systems Engineering, Virginia Tech - (Blacksburg, Virginia, United States) 2011
M.S. in Industrial and Systems Engineering, Virginia Tech - (Blacksburg, Virginia, United States) 2009
M.E. in Industrial Engineering, University at Buffalo, State University of New York - (Buffalo, New York, United States) 2006
B.E. in Production Engineering, University of Mumbai - (Mumbai, Maharashtra, India) 2004

selected publications

Academic Articles63

Hopko, S. K., Khurana, R., Mehta, R. K., & Pagilla, P. R. (2021). Effect of Cognitive Fatigue, Operator Sex, and Robot Assistance on Task Performance Metrics, Workload, and Situation Awareness in Human-Robot Collaboration. IEEE Robotics and Automation Letters. 6(2), 3049-3056.
Aljihmani, L., Kerdjidj, O., Zhu, Y., Mehta, R. K., Erraguntla, M., Sasangohar, F., & Qaraqe, K. (2020). Classification of Fatigue Phases in Healthy and Diabetic Adults Using Wearable Sensor. Sensors (Switzerland). 20(23), 6897-6897.
Sasangohar, F., Moats, J., Mehta, R., & Peres, S. C. (2020). Disaster Ergonomics: Human Factors in COVID-19 Pandemic Emergency Management. Human Factors The Journal of the Human Factors and Ergonomics Society. 62(7), 1061-1068.
Mehta, R. K., Nuamah, J., Peres, S. C., & Murphy, R. R. (2020). Field Methods to Quantify Emergency Responder Fatigue: Lessons Learned from sUAS Deployment at the 2018 Kilauea Volcano Eruption. IISE Transactions on Occupational Ergonomics and Human Factors. 8(3), 1-9.
Mehta, R. K., & Nuamah, J. (2020). Relationship Between Acute Physical Fatigue and Cognitive Function During Orthostatic Challenge in Men and Women: A Neuroergonomics Investigation.. Human Factors The Journal of the Human Factors and Ergonomics Society. 18720820936794-001872082093679.

Chapters1

Parasuraman, R., & Mehta, R. K. (2015). Neuroergonomic Methods for the Evaluation of Physical and Cognitive Work. Wilson, J. R., & Sharples, S. (Eds.), Evaluation of Human Work. (pp. 609-638). CRC Press.

Conference Papers22

Aljihmani, L., Zhu, Y., Abbas, H. T., Mehta, R., Sasangohar, F., Erraguntla, M., Abbasi, Q. H., & Qaraqe, K. (2019). Spectral Analysis of Hand Tremors Induced during a Fatigue Test. PROCEEDINGS OF THE 21ST IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS. 00, 658-663.
Rhee, J., Dillards, T., Nzoiwu, M., & Mehta, R. K. (2017). Effect of Social Stress on Motor Function in Older Adults: an fNIRS Investigation. Proceedings of the Human Factors and Ergonomics Society. 61(1), 31-31.
Mantooth, W., Zhu, Y., & Mehta, R. K. (2017). Ergonomic Evaluation of Office Furniture on Team Dynamics. Proceedings of the Human Factors and Ergonomics Society. 61(1), 1858-1858.
Shortz, A. E., Franke, M., Kilic, E. S., Peres, S. C., & Mehta, R. K. (2017). Evaluation of Offshore Shiftwork using Heart Rate Variability. Proceedings of the Human Factors and Ergonomics Society. 61(1), 1036-1039.
Gonzalez, K., Sasangohar, F., Mehta, R. K., Lawley, M., & Erraguntla, M. (2017). Measuring Fatigue through Heart Rate Variability and Activity Recognition: A Scoping Literature Review of Machine Learning Techniques. Proceedings of the Human Factors and Ergonomics Society. 61(1), 1748-1752.