Bio
Dr. David Azari is an assistant professor of Behavioral Science and Leadership at the U.S. Air Force Academy, where he was appointed in 2022. Develops and teaches undergraduate courses in Human Factors, Ergonomics, Human Computer Interaction, and Special Topics in Human Factors.
Education
Doctorate of Philosophy, Human Factors and Ergonomics, University of Wisconsin-Madison, Madison, Wisconsin (2018)
Master of Science, Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, Wisconsin (2014)
Bachelor of Science, Mathematics, University of Colorado-Boulder, Boulder, Colorado (2010)
Professional Experience
Operations Research Analyst, Scenario and Wargaming, U.S. Army Futures Command (2018 – 2022)
Science, Math, and Research for Transformation (SMART) Scholar, United States Department of Defense (DoD) (2015 – 2022)
Honors & Awards
US Army Civilian Commendation Medal (2021)
US Army Operations Research – Best Future Capabilities Presentation Award (2021)
Department of Defense Mentor-Mentee of the Year Nominee (2021)
Military Operations Research Society (MORS) Boardmember (2020)
US Army Civilian Meritorious Service Award (2020)
Eugene P. Visco (Runner Up) Best Emerging Techniques Presentation (2019)
Alphonse Chapanis Best in Conference Human Factors Research Award (2018)
Research and Scholarly Interests
Studies complex system and human performance assessment techniques; including human interaction with increasingly autonomous technologies (w. mobile, wearable, and audio-visual components); analytical and procedural data and information integration within distributed medical, military, and decision-making domains. Advancing performance and assessment methods to include predictive techniques (AI/ML) integration into assessment, coaching, training, simulation, safety, and occupational injury prevention.
Publications
Selected Publications
Azari, D. P., Frasier, L. L., Miller, B. L., Pavuluri Quamme, S. R., Le. B. V., Greenberg, C. C., Radwin, R. G. (2021). Modeling performance of open surgical cases. Simulation in Healthcare.
Azari, D. P., Miller, B. L., Le, B. V., Greenberg, J. A., Bruskewitz, R. C., Long, K. L., Chen, G., Radwin, R. G. (2021). A Comparison of Expert Ratings and Marker-Less Hand Tracking Along OSATS-Derived Motion Scales. IEEE: Transactions on Human-Machine Systems, 51(1), 22-31. https://doi.org/10.1109/THMS.2020.3035763
Azari, D. P., Miller, B. L., Le, B. V, Greenberg, C. C., & Radwin, R. G. (2020). Quantifying surgeon maneuvers across experience levels through marker-less hand motion kinematics of simulated surgical tasks. Applied Ergonomics, 87, 103136. https://doi.org/10.1016/j.apergo.2020.103136
Azari, D. P., Hu, Y. H., Miller, B. L., Le, B. V., & Radwin, R. G. (2019). Using Surgeon Hand Motions to Predict Surgical Maneuvers. Human Factors, 61(8), 1326–1339. https://doi.org/10.1177/0018720819838901
Azari, D. P., Greenberg, C. C., Pugh, C. M., Wiegmann, D. A., & Radwin, R. G. (2019). In Search of Characterizing Surgical Skill. Journal of Surgical Education, 76(5), 1348–1363. https://doi.org/10.1016/j.jsurg.2019.02.010
Azari, D. P., Frasier, L. L., Quamme, S. R. P., Greenberg, C. C., Pugh, C. M., Greenberg, J. A., & Radwin, R. G. (2019). Modeling Surgical Technical Skill Using Expert Assessment for Automated Computer Rating. Annals of Surgery, 269(3), 574–581. https://doi.org/10.1097/SLA.0000000000002478
Greene, R. L., Azari, D. P., Hu, Y. H., & Radwin, R. G. (2017). Visualizing stressful aspects of repetitive motion tasks and opportunities for ergonomic improvements using computer vision. Applied Ergonomics, 65, 461–472.
Chen, C.-H., Azari, D. P., Hu, Y. H., Lindstrom, M. J., Thelen, D., Yen, T. Y., & Radwin, R. G. (2015). The accuracy of conventional 2D video for quantifying upper limb kinematics in repetitive motion occupational tasks. Ergonomics, 58(12), 2057–2066.
Akkas, O., Azari, D. P., Chen, C.-H. E., Hu, Y. H., Ulin, S. S., Armstrong, T. J., … Radwin, R. G. (2014). A hand speed – duty cycle equation for estimating the ACGIH hand activity level rating. Ergonomics, 58(2), 184–194.
Azari, D. P., Pugh, C. M., Laufer, S., Kwan, C., … Radwin, R. G. (2015). Evaluation of Simulated Clinical Breast Exam Motion Patterns Using Marker-Less Video Tracking. Human Factors, 58(3), 427–440. https://doi.org/10.1177/0018720815613919
Azari, D. P., Grady, D., & Oiler, J. (2014). Cost Benefit Analysis and Implementation Guide for Data Center Infrastructure Management (DCIM). Naval Engineers Journal, Addendum (126), 19–23.