Dr. Michael Mike
E. Miller, Professor of Systems Engineering
Human Systems Integration Cirriculum Chair
Michael E. Miller, PhD is a Professor of Systems Engineering in the Department of Systems Engineering and Management and leads the Human Systems specialization. Dr. Miller earned his PhD in Industrial and Systems Engineering, Human Factors Specialization, from Virginia Tech in 1993 and a MS from Ohio University in 1989, also in Industrial and Systems Engineering.
Prior to joining AFIT in 2010, Dr. Miller spent more than 15 years with Eastman Kodak Company as a Systems and Human Factors engineer. Dr. Miller has contributed to more than 100 issued US patents on digital imaging and display systems, 50 peer-reviewed journal articles and numerous conference proceedings. He is a senior member of the Society for Information Display, as well as a member of INCOSE and HFES.
Dr. Miller’s research interests include human systems modeling, human interaction with automation and human-display integration. He currently co-leads the development of a NATO Research Specialists' Meeting on Human Digital Twins which will be held in December 2024 in Orlando, FL.
Education
- Doctor of Philosophy in Industrial and Systems Engineering, Virginia Tech, 1993
- Master of Science in Industrial and Systems Engineering, Ohio University, 1989
- Bachelor of Science in Industrial and Systems Engineering, Ohio University, 1987
Awards
Southwestern Ohio Council for Higher Education Faculty Excellence Award, 2017.
Best Paper - Safety, Human Factors and Ergonomics, Industrial and Systems Engineering Research Conference, 2016
Best Paper - Human Factors, Industrial and Systems Engineering Research Conference, 2014
Best Paper-Engineering Economy, Industrial and Systems Engineering Research Conference, 2012
Distinguished Paper Award, Society for Information Display, Display Week Conference, 2008
Distinguished Inventor, Eastman Kodak Research Laboratories, 2005
C.E.K. Mees Award for Technical Achievement, Eastman Kodak Research Laboratories, 2004
Publications
Dr. Miller has published more than 30 articles in peer-reviewed journals, 60 articles in peer-reviewed conferences and holds more than 100 issued US Patents. The following are a sample of recent publications.
Recent Journal Publications Include:
1. Miller, M.E., Gerhardt , J., Yoo, H, and Akhavan, T. (2020). Model for Assessing Organic Light Emitting Diode Display Lifetime Across Applications, Journal of the Society for Information Display, 28(7), 629-640. https://doi.org/10.1002/jsid.858.
2. Geiselman, E.E., Heft, E., and Miller, M.E. (2020). Development and validation of a secondary task environment for assessing visual-psychomotor tasks, Theoretical Issues in Ergonomics Science, 21(6), 709-727. https://doi.org/10.1080/1463922X.2020.1729445.
3. Johnson, C., Miller, M.E., Rusnock, C.F. and Jacques, D.J. (2020). Applying Control Abstraction to the Design of Human-Agent Teams, Systems, 8(2), 1-15. https://www.mdpi.com/2079-8954/8/2/10.
4. Miller, M.E., McGuirl, J.M., Schneider, M.F. and Ford, T.C. (2020). A Language and Method to Permit Modeling of Human-Agent Teams, Systems Engineering, 23(5), 519-533. https://onlinelibrary.wiley.com/doi/abs/10.1002/sys.21546.
5. Schneider, M., Miller, M., Ford, T., Peterson, G. and Jacques, D. (2021). Exploring Intent for Improved Human-Agent Team Coordination, Journal of Cognitive Engineering and Decision Making, 15(2-3). https://journals.sagepub.com/doi/10.1177/15553434211010573.
6. Marsh, J., Miller, M.E., Geiselman, E.E., and Havig, P. (2021). Display size and distractor complexity effects on visual search, Displays, 66. https://www.sciencedirect.com/science/article/abs/pii/S0141938221000032.
7. Geiselman, E.E., Miller, M.E., Heft, E., and Schubert Kabban, C. (2021). Human performance evaluation of user interfaces for spatially-constrained text portrayal and access, Displays, 68. https://www.sciencedirect.com/science/article/abs/pii/S0141938221000184.
8. Kamrud, A., Borghetti, B., Schubert Kabban, C. and Miller, M. (2021). Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks, MDPI Sensors, 21(16), p.5617. https://doi.org/10.3390/s21165617.
9. Schneider, M.F., Miller, M.E., Ford, T.C., Peterson, G. and Jacques, D. (2022). Intent Integration for Human-Agent Teaming, Systems Engineering, 25(4), 291-303. https://onlinelibrary.wiley.com/doi/epdf/10.1002/sys.21616.
10. Miller, M.E. and Spatz, E. (2022) A unified view of a Human Digital Twin, Human-Intelligent Systems Integration, https://doi.org/10.1007/s42454-022-00041-x.
11. Schneider, M.F., Engle, N., Miller, M.E., Peterson, G. (2022). Estimating operationalized intent using random forests, Human-Intelligent Systems Integration. https://link.springer.com/article/10.1007/s42454-022-00043-9.
12. Schneider, M.F., Miller, M.E., McGuirl, J. (accepted Sept 2022). Assessing quality goal rankings as a method for communicating operator intent, Journal of Cognitive Engineering and Decision Making, 17(1), 26-48.
13. Strang, M., Miller, M.E., Hill, R. and Elshaw, J. (2023). Group decision performance: The predictive role of decision making styles and cognition, Personality and Individual Differences, 206.
14. Reis, G., Miller, M.E., Langhals, B., Schubert Kabban, C. and Jackson, J. (2023). Effect of visual field asymmetries while utilizing aircraft attitude symbology, Displays, 77.
15. Lapso, J.A., Peterson, G.L. and Miller, M.E. (2023) A hybrid cognitive model for machine agents, Cognitive Systems Research, 81, 1-10.
16. Grimm, M.A., Peterson, G. and Miller, M.E. (2023). Imitating Human Responses via a Dual-Process Model, Cognitive Systems Research, 81, 11-24.
17. Miller, M.E. and Spatz, E. (2023) A taxonomy of metrics for human representations in digital engineering, Systems Engineering,
18. Duncan, M.C., Miller, M.E. and Borghetti, B.J. (2023). Analysis of and Requirement Generation for Defense Intelligence Search: Addressing Data Overload through Human-AI Agent System Design for Ambient Awareness, MDPI Systems, 11, 561-590.
19. Abouzahra, N., Miller, M.E., Colombi, J.M., and Shimizu, C.M. (2024). Examining the intersection of ontology, model-based systems engineering and interface development: The future of design? Intelligent Human Systems Integration, Accepted Feb 1, 2024.
20. Hodkin, Jr., R.J. Miller, M.E., and Ford, T.C. (2024). Modelling human variability in DES using a modified multivariate accommodation technique, International Journal of Human Factors Modelling and Simulation, accepted Feb 9, 2024.