David Nembhard, Ph.D
Department
Areas of Expertise
Biography
Prof. Nembhard’s research, at the intersection of human factors, behavioral biometrics (Electroencephalography & eye tracking), and decision sciences, focuses on improving productivity and learning performance in complex systems. Modeling human individual differences, including skill and knowledge acquisition & transfer, forgetting, temporal motivation, personality, and modes of communication, provides a basis for designing 21st century work (Industry 5.0).
Education
Ph.D., Industrial and Operations Engineering (1994) The University of Michigan
M.S., Industrial and Operations Engineering (1993) The University of Michigan
M.S.E., Systems Engineering (1990) Case Western Reserve University
B.S., Systems and Control Engineering (1987) Case Western Reserve University
Research and Publications
Dalilian*, F., & Nembhard, D. A.(2024). Cognitive and Behavioral Markers for Human Detection Error in AI-assisted Bridge Inspection, Applied Ergonomics, Special Issue E/HF for a Sustainable, Resilient Human-Centered Future, 121, 104346. https://doi.org/10.1016/j.apergo.2024.104346
Sun*, Y., Nembhard, D. (2024) “Knowledge Representation Learning with EEG-Based Engagement and Cognitive Load as Mediators of Performance,” Behaviour & Information Technology, 2024, https://doi.org/10.1080/0144929X.2024.2438776
Dalilian*, F. Nembhard, D.A., “Biometrically Measured Affect for Screen-Based Drone Pilot Skill Acquisition” International Journal of Human-Computer Interaction, 2023. /doi.org/10.1080/10447318.2023.2208991
Sun*, Y., Nembhard, D. A., “Static vs. Dynamic Representations and the Mediating Role of Behavioral Affect on E-Learning Outcomes," International Journal of Human-Computer Interaction, 2023, 1-12. https://doi.org/10.1080/10447318.2022.2096187