Human-AI Teaming
How trust, uncertainty, and role adaptation shape coordination between people and intelligent agents over time.
Human-Centered AI Researcher
Designing AI teammates that people can actually trust under pressure.
Dr. Mustafa Demir is an associate research scientist at the Biodesign Institute, Center for Applied Structural Discovery, a faculty associate teaching statistics at the Ira A. Fulton Schools of Engineering at Arizona State University in Tempe, Arizona, and a scientist at the Wm Michael Barnes '64 Department of Industrial and Systems Engineering at Texas A&M University.
Dr. Demir received his Ph.D. in Simulation, Modeling, and Applied Cognitive Science from Arizona State University in Spring 2017, with a focus on team coordination dynamics and effectiveness in human-machine teaming. For the last 13 years, his research has been grounded in a human-systems engineering approach aimed at optimizing sociotechnical systems through more effective human-centered, collaborative, AI-powered systems.
Since 2012, Dr. Demir has published approximately 100 academic works in Turkish and English across journals and conference proceedings in the social and engineering sciences, achieving an h-index of 30. His scientific interests include human-machine teaming, advanced statistical modeling, dynamical systems modeling, team cognition, operations research, and he has been a Senior Member of IEEE since 2015.
- Human-AI teaming and uncertainty-aware decision support
- Wearable sensing, eye tracking, and physiology-informed modeling
- Adaptive systems for resilient performance in real-world operations
Academic Home
My work bridges cognitive systems engineering, human factors, and interactive AI across interdisciplinary research environments.
Research
Questions that sit at the edge of cognition, sensing, and machine support.
Multimodal State Inference
Using eye tracking, physiological measures, and interaction traces to model cognitive load, fatigue, stress, and attention.
Resilient Interface Design
Designing adaptive interfaces that support practical decision-making in health, learning, and safety-critical operations.
Selected Projects
Applied research programs translating theory into systems people can use.
mHelp / Digital Health
Wearable stress detection and intervention support systems designed to translate biosignals into timely, human-centered assistance.
Human-AI Teammates
Adaptive human-machine interface behaviors for supervisory control settings where timing, trust, and workload interact dynamically.
Curiosity-Driven Learning
AI tutoring and curiosity-regulation frameworks that support discovery, engagement, and deeper learning in complex environments.
Consulting
Research-backed consulting through Armstrong Applied Intelligence Enterprise.
Armstrong Applied Intelligence Enterprise
Human-centred data and AI enterprise
Armstrong Applied delivers human-centered AI, cognitive systems engineering, and advanced analytics consulting for organizations operating in complex, high-stakes environments.
Visit armstrongapplied.comSelected Publications
Recent work across AI teaming, learning systems, and coordination dynamics.
- Demir, M., Miratsky, J., Mishra, P., Nguyen, J., Chan, C., & Singharoy, A. (2025). Exploring Artificial Intelligence Tutor Teammate Adaptability to Harness Discovery Curiosity and Promote Learning in the Context of Interactive Molecular Dynamics. Cognitive Computation, 17(5), Article 143.
- Humr, S., Canan, M., & Demir, M. (2025). A Quantum Probability Approach to Improving Human-AI Decision Making. Entropy, 27(2), 152.
- Harrison, J. L., Zhou, S., Scalia, M. J., Grimm, D. A. P., Demir, M., McNeese, N. J., Cooke, N. J., & Gorman, J. C. (2024). Communication Strategies in Human-Autonomy Teams During Technological Failures. Human Factors, 66(11), 2539-2555.
- Demir, M., Cohen, M., Johnson, C. J., Chiou, E. K., & Cooke, N. J. (2023). Exploration of the Impact of Interpersonal Communication and Coordination Dynamics on Team Effectiveness in Human-Machine Teams. International Journal of Human-Computer Interaction, 39(9), 1841-1855.
- Grimm, D. A. P., Gorman, J. C., Cooke, N. J., Demir, M., & McNeese, N. J. (2023). Dynamical Measurement of Team Resilience. Journal of Cognitive Engineering and Decision Making, 17(4), 351-382.
- Demir, M., McNeese, N. J., Gorman, J. C., Cooke, N. J., Myers, C. W., & Grimm, D. A. (2021). Exploration of Teammate Trust and Interaction Dynamics in Human-Autonomy Teaming. IEEE Transactions on Human-Machine Systems, 51(6), 696-705.
- McNeese, N. J., Demir, M., Cooke, N. J., & She, M. (2021). Team Situation Awareness and Conflict: A Study of Human-Machine Teaming. Journal of Cognitive Engineering and Decision Making, 15(2-3), 83-96.
- McNeese, N. J., Demir, M., Chiou, E. K., & Cooke, N. J. (2021). Trust and Team Performance in Human-Autonomy Teaming. International Journal of Electronic Commerce, 25(1), 51-72.
For the full and most up-to-date publication record, see Google Scholar.
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