Background
Dr. Mustafa Ozkan Yerebakan holds a B.S.E. in Industrial and Operations Engineering with minors in History and Naval Engineering from the University of Michigan-Ann Arbor, and a M.S. and Ph.D. in Industrial and Systems Engineering from the University of Florida.
Dr. Yerebakan provides consulting services on premises liability cases relating to slips, trips, and falls and workplace ergonomics issues, such as musculoskeletal injuries (i.e., strains, repetitive motion) and disorders. He has provided assistance in evaluating ergonomics issues such as the Revised NIOSH lifting equation, 3DSSPP software, gait kinematics, and human gaze.
Dr. Yerebakan’s dissertation work focused on identifying the need for the future adoption of human-robot collaboration in agricultural practices, specifically in the field of indoor pollination. He developed an acceptance model based on the Technology Acceptance Model to see which factors could effectively predict the successful adoption of agricultural robots in general and through human subject experiments, investigated how collaborating with a robot affected the worker’s posture and their attitude towards the collaborating robot. Apart from this, he also assisted other human-robot collaboration projects in the Human Systems Engineering Laboratory for the grocery store and electronic waste disassembly.
Education and Certifications
- Industrial and Systems Engineering Ph.D.: University of Florida (2024)
- Industrial and Systems Engineering M.S.: University of Florida (2020)
- Industrial and Operations Engineering B.S.E.: University of Michigan (2018)
- FAA Licensed UAS Pilot #4466121
- BCPE Certified Associate Human Factors Professional
- Certified XL Tribometrist
Publications
- Yerebakan, M. O., Gu, Y., Gross, J., and Hu, B. (2025). “Evaluation of Biomechanical and Mental Workload During Human-Robot Collaborative Pollination Task”. Human Factors, 67(2), 100-114.
- Yerebakan, M. O., and Hu, B. (2024). “Human–robot collaboration in modern agriculture: A review of the current research landscape”. Advanced Intelligent Systems, 2300823.
- Yerebakan, M. O., and Hu, B. (2024). “Wearable Sensors Assess the Effects of Human–Robot Collaboration in Simulated Pollination”. Sensors, 24(2), 577.
- Bo, F., Yerebakan, M., Dai, Y., Wang, W., Li, J., Hu, B., and Gao, S. (2022, June). “IMU-based monitoring for assistive diagnosis and management of IoHT: A review”. In Healthcare (Vol. 10, No. 7, p. 1210). MDPI.
- Chen, Y., Luo, Y., Yerebakan, M. O., Xia, S., Behdad, S., and Hu, B. (2022, November). “Human workload and ergonomics during human-robot collaborative electronic waste disassembly”. In 2022 IEEE 3rd international conference on human-machine systems (ICHMS) (pp. 1-6). IEEE.
- Chen, Y., Luo, Y., Yang, C., Yerebakan, M. O., Hao, S., Grimaldi, N., Li, S., Hayes. R., and Hu, B. (2022). “Human mobile robot interaction in the retail environment”. Scientific Data, 9(1), 673.
- Luo, Y., Chen, Y., Yerebakan, M. O., Hao, S., Grimaldi, N., Yang, C., Hayes, R., and Hu, B. (2022, November). “How Do Humans Adjust Their Motion Patterns in Mobile Robots Populated Retail Environments?” In 2022 IEEE 3rd International Conference on Human-Machine Systems (ICHMS) (pp. 1-6). IEEE.
- Luo, Y., Yang, F., Yerebakan, M. O., Zhang, J., and Hu, B. (2022). “Load Carriage Modes and Limb Crossing Patterns Altered Gait during Obstacle Negotiation”. Journal of Motor Behavior, 54(5), 525-536.
- Yerebakan, M. O., Hu, B., Barbir, A., Lin, M. Y., and Dennerlein, J. T. (2022). “Evaluating the impact of writing surface and configuration on muscle activation level during a handwriting task: An exploratory study”. Work, 71(4), 1183-1191.
- Hao, S., Yerebakan, M. O., and Hu, B. (2021, September). “Human-centered drone led illumination system: A proof-of-concept prototype”. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 65, No. 1, pp. 1480-1484). Sage CA: Los Angeles, CA: SAGE Publications.
- Yerebakan, M.O., Hao, S., Xu, K., Gheisari, M., Jeelani, I., and Hu, B. (2021, September). “Effect of illumination on human drone interaction tasks: An exploratory study”. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 65, No. 1, pp. 1485-1489). Sage CA: Los Angeles, CA: SAGE Publications.
- Yerebakan, M. O., Zhong, X., Parvataneni, H. K., Gray, C. F., and Hu, B. (2020, December). “Use of Wearable Sensors and Machine Learning Methods in Promoting Total Joint Replacement Treatment Outcomes: A Survey”. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 64, No. 1, pp. 627-631). Sage CA: Los Angeles, CA: SAGE Publications.
Committees
- Human Factors and Ergonomics Society: Member