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Denny Yu, PhD
Grissom Hall 268 
315 N. Grant Street
West Lafayette, IN 47907-2023
(765) 494-7346
Denny Yu - Purdue University School of Industrial Engineering
Yu Group




PhD Industrial and Operations Engineering University of Michigan, Ann Arbor, MI

MSE Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI

BS Bioengineering, University of California, Berkeley, CA

Research and Work Experience

Associate Professor, School of Industrial Engineering, Purdue University, West Lafayette, IN

Assistant Professor, School of Industrial Engineering, Purdue University, West Lafayette, IN

Assistant Professor of Healthcare Systems Engineering, College of Medicine, Mayo Clinic, Rochester, MN

Research Associate, Department of Health Sciences Research, Mayo Clinic, Rochester, MN

Liberty Mutual Safety Research Fellow, Liberty Mutual Research Institute for Safety, Hopkinton, MA

NSF Engineering Innovations Fellow, Applied Biomechanics, Alameda, CA

Honors and Awards

Fulbright Scholar - Management Center Innsbruck (MCI)

IEA/Tsinghua Award for Collabroatrive Human Factors and Ergonomics Education

Rising Star of Safety, National, Safety Council

Best Paper Award, Institute of Industrial and System Engineering, Work Systems Division

HFES Human Factors Prize

RSJ/KROS Distinguished Interdisciplinary Research Award, IEEE RO-MAN 2021

Air Force Research Laboratory Summer Faculty Fellow

Honorable Mention, 2018 Bullard-Sherwood Research-to-Practice (r2p) Awards
Delivery System Science Fellowship

National Science Foundation Graduate Student Fellowship

American Society of Safety Engineers, Liberty Mutual Safety Research Fellowship

Dieter W. Jahns Student Practitioner Award, Foundation for Professional Ergonomics

Select Publications

  1. Yang, J., Liang, N., Pitts, B. J., Prakah-Asante, K. O., Curry, R., Blommer, M., . . . Yu, D. (2023). Multimodal Sensing and Computational Intelligence for Situation Awareness Classification in Autonomous Driving. IEEE Transactions on Human-Machine Systems, 53(2), 270-281. doi:10.1109/THMS.2023.3234429
  2. Lim, C., Barragan, J. A., Farrow, J. M., Wachs, J. P., Sundaram, C. P., & Yu, D. (2023). Physiological Metrics of Surgical Difficulty and Multi-Task Requirement during Robotic Surgery Skills. Sensors, 23(9). Retrieved from  doi:10.3390/s23094354
  3. Zhou, G., Lu, M. L., & Yu, D. (2023). Tactile Gloves Predict Load Weight During Lifting With Deep Neural Networks. IEEE Sensors Journal, 23(16), 18798-18809. doi:10.1109/JSEN.2023.3289670
  4. Obuseh, M., Cavuoto, L., Stefanidis, D., & Yu, D. (2023). A sensor-based framework for layout and workflow assessment in operating rooms. Applied ergonomics, 112, 104059. doi:
  5. Yang, J., Barragan, J., Farrow, J., Sundaram, C., Wachs, J., & Yu, D. (2022). An Adaptive Human-Robotic Interaction Architecture for Augmenting Surgery Performance Using Real-Time Workload Sensing—Demonstration of a Semi-autonomous Suction Tool. Human factors.
  6. Cha, J. S., Athanasiadis, D. I., Peng, Y., Wu, D., Anton, N. E., Stefanidis, D., & Yu, D. (2022). Objective Nontechnical Skills Measurement Using Sensor-based Behavior Metrics in Surgical Teams. Human Factors, 0(0).
  7. Anton, N., Hornbeck, T., Modlin, S., Haque, M. M., Crites, M., & Yu, D. (2021). Identifying factors that nurses consider in the decision-making process related to patient care during the COVID-19 pandemicPlos one16(7), e0254077. 
  8. Cha, J. S. & Yu, D. (2021). Objective Measures of Surgeon Non-Technical Skills in Surgery: A Scoping Review. Human Factors
  9. Yu, D., Obuseh, M., & DeLaurentis, P. (2021). Quantifying the Impact of Infusion Alerts and Alarms on Nursing Workflows: A Retrospective AnalysisApplied Clinical Informatics12(03), 528-538.
  10. Asadi, H., Monfared, S. M, Athanasiadis, D. M, Stefanidis, D., & Yu, D. (2021). Continuous, Integrated Sensors for Predicting Fatigue during Non-repetitive Work: Demonstration of Technique in the Operating Room. Ergonomics, 1-14
  11. Liang, N., Yang, J., Yu, D., Prakah-Asante, K.O., Curry, R., Blommer, M., Swaminathan, R., & Pitts, B.J. (2021). Using Eye-Tracking to Investigate the Effects of Pre-Takeover Visual Engagement on Situation Awareness During Automated DrivingAccident Analysis and Prevention, 157, 106143
  12. Athanasiadis, D., Monfared, S., Asadi, H., Colgate, C., Yu, D., & Stefanidis, D. (2021). Surgical Trainees Have Similar Ergonomic Risk in the Operating Room as Experienced SurgeonsSurgery. 169(3), 496-501
    • Most Read Surgery paper of the Feb 15, 2021 weekend
  13. Ostovari, M., Liu, S., Yih, Y., & Yu, D. (2021). Understanding Local Health Departments Decision to Pursue/Defer the Accreditation: A Mixed-Method Systems Thinking ApproachIISE Transaction on Healthcare Systems Engineering. 11(1), 70-78.
  14. Zhang, T., Yang, J., Liang, N., Pitts, B., Prakah-Asante, K., Curry, R., Duerstock, B., Wachs, J., & Yu, D. (2020). Physiological Measurements of Situation Awareness: A Systematic Review. Human Factors. 
    • ‚ÄčTop 30 in journal’s most read list over the last 6 months
  15. Wu, C. , Cha, J., Sulek, J., Sundaram, C. P., Wachs, J., Proctor, R. W., & Yu, D. (2020). Sensor-based indicators of performance changes between sessions during robotic surgery training. Applied ergonomics, 90, 103251.
  16. Abebe, E., Scanlon, M. C., Chen, H., & Yu, D. (2020). Complexity of Documentation Needs for Children With Medical Complexity: Implications for Hospital ProvidersHospital Pediatrics, 10(8), 670-678.
  17. Asadi, H., Zhou, G., Lee, J. J., Aggarwal, V., & Yu, D. (2020). A computer vision approach for classifying isometric grip force exertion levelsErgonomics, 63(8), 1010-1026. 
  18. Zhou, T., Cha, J. S., Gonzalez, G., Wachs, J. P., Sundaram, C. P., & Yu, D. (2020). Multimodal Physiological Signals for Workload Prediction in Robot-assisted Surgery. ACM Transactions on Human-Robot Interaction (THRI), 9(2), 1-26.
  19. Cha, J. S., Monfared, S. M, Stefanidis, D., Nussbaum, M. A., & Yu, D. (2020). Supporting Surgical Teams: Identifying Needs and Barriers for Exoskeleton Implementation in the Operating Room. Human Factors, 62(3), 377–390.
    • Interviewed for: Burling, Stacey. “Surgeons Are Talking about a Once-Taboo Topic: Their Own Pain from Operating.” The Philadelphia Inquirer, 19 Dec. 2019,  
  20. Yu, D., Antonik, C., Webber, F., Watz, E., & Bennett Jr, W. (2019). Multi-modal physiological sensing approach for distinguishing high workload events in remotely piloted aircraft simulationHuman-Intelligent Systems Integration. 1, 89-99
    • Article invited for the Special Issue on “Human-Autonomy Teaming in Military Contexts”
  21. Wu, C., Cha, J., Sulek, J., Zhou, T., Sundaram, C. P., Wachs, J., & Yu, D. (2019). Eye-Tracking Metrics Predict Perceived Workload in Robotic Surgical Skills Training. Human factors, 62(8), 1365-1386.
    • Top 30 in journal’s most read list over the last 6 months
  22. Ostovari, M., & Yu, D. (2019). Impact of care provider network characteristics on patient outcomes: Usage of social network analysis and a multi-scale community detection. PloS one, 14(9), e0222016.
  23. Peng, Y., Anton, N. E., Cha, J., Mizota, T., Hennings, J. M., Stambro, R., Rendina, M.A., Stanton-Maxey, K.J., Stefanidis, D., & Yu, D. (2019). Objective Measures of Communication Behavior Predict Clinical Performance. Journal of surgical education, 76(5), 1337-1347.
  24. Delaurentis, P., Walroth, T. A., Fritschle, A. C., Yu, D., Hong, J. E. G, Yih, Y., & Fuller, J. (2019). Stakeholder perceptions of smart infusion pumps and drug library updates: A multisite, interdisciplinary study. American Journal of Health-System Pharmacy, 76(17), 1281-1287.
  25. Ostovari, M., Steele-Morris, C.-J., Griffin, P. M., & Yu, D. (2019). Data-driven modeling of diabetes care teams using social network analysis. Journal of the American Medical Informatics Association, 26(10), 911-919.
  26. Xie, S., Ye, Q., Katare, B., Yu, D., & Yih, Y. (2019). Longitudinal Patterns of Employee High-deductible Health Plan Choices. IISE Transaction on Healthcare Systems Engineering. 9(3), 292-298.
  27. Asadi, H., Yu, D., & Mott, J. H. (2019). Risk factors for musculoskeletal injuries in airline maintenance, repair & overhaul. International Journal of Industrial Ergonomics, 70, 107-115.
  28. Cha, J. S., Anton, N. E., Mizota, T., Hennings, J. M., Rendina, M. A., Stanton-Maxey, K., Ritter, H., Stefanidis, D., & Yu, D. (2018). Use of non-technical skills can predict medical student performance in acute care simulated scenarios. The American journal of surgery. 217(2), 323-328.
  29. Ostovari, M., Yu, D., Yih, Y., & Steele-Morris, C. J. (2017). Impact of an Onsite Clinic on Utilization of Preventive Services. Journal of Occupational and Environmental Medicine, 59(7), 615-623. 
  30. Yu., D., Dural, C., Morrow, M., Yang, M., Collins, J., Hallbeck, S., Kjellman, M., & Forsman, M. (2016). Intraoperative workload in robotic surgery assessed by wearable motion tracking sensors and questionnaires. Surgical Endoscopy. PMID: 27495330
  31. Yu, D., Xu, X., & Lin, J.-H. (2017). Impact of posture choice on one-handed pull strength variations at low, waist, and overhead pulling heights. International Journal of Industrial Ergonomics,64, 226-234.
  32. Yu, D., Lowndes, B., Morrow, M., Kaufman, K., Hallbeck, M.S., & Bingener, J. (2015). Impact of a novel laparoscopic tool on wrist ergonomics and surgeon performanceSurgical Endoscopy, 30(8), 3480-3490.
  33. Yu, D., Blocker, R. C., Sir, M. Y., Hallbeck, M. S., Hellmich, T. R., Cohen, T., . . . Pasupathy, K. S. (2016). Intelligent Emergency Department: Validation of Sociometers to Study Workload. Journal of Medical System, 40(3), 1-12. 
  34. Yu, D., Green, C., Kasten, S. J., Sackllah, M. E., & Armstrong, T. J. (2016). Effect of alternative video displays on postures, perceived effort, and performance during microsurgery skill tasks. Applied ergonomics, 53, Part A,281-289. 
  35. Park, A. E., Zahiri, H. R., Hallbeck, M. S., Augenstein, V., Sutton, E., Yu, D., ... & Bingener, J. (2016). Intraoperative" Micro Breaks" With Targeted Stretching Enhance Surgeon Physical Function and Mental Focus: A Multicenter Cohort Study. Annals of surgery,265(2), 340-346.
  36. Lowndes, B., Thiels, C. A., Habermann, E. B., Bingener, J., Hallbeck, S., & Yu, D. (2016). Impact of patient factors on operative duration during laparoscopic cholecystectomy: Evaluation from the National Surgical Quality Improvement Program (NSQIP) Database. The American journal of surgery.
  37. Yu, D., Lowndes, B., Thiels, C., Bingener, J., Abdelrahman, A., Lyons, R., & Hallbeck, S. (2016). Quantifying Intraoperative Workloads Across the Surgical Team Roles: Room for Better Balance? World J Surg. doi:10.1007/s00268-016-3449-6
  38. Yu, D., Minter, R. M., Armstrong, T. J., Frischknecht, A. C., Green, C., & Kasten, S. J. (2014). Identification of technique variations among microvascular surgeons and cases using hierarchical task analysis. Ergonomics, 57(2), 219-235. DOI:10.1080/00140139.2014.884244. PMID: 24521243


  • IE 386 Work Analysis and Design I
  • IE 490 Computational Human Factors
  • IE 577 Human Factors in Engineering
  • IE 590 Human Factors and Medical Devices
  • IE 690 Sensing Approaches For Human Factors Research  


2015-Present – Board of Certification in Professional Ergonomics (BCPE), Certified Professional Ergonomist (CPE)


Last updated: 07/2021