David Nembhard, Ph.D

Director of Applied Science Programs


Kravis Department of Integrated Sciences

Areas of Expertise

Computer-Assisted Education
Data Science
Decision Neuroscience
Human Behavior and Human Factors
Mathematics Modeling


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 4.0).


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

Bektur*, G, Nembhard, D. A., "Multi- Objective Variable Neighborhood Search Based Algorithm for Multi- Period Home Health Care Assignment, Scheduling and Routing Problem with Team Formation" International Journal of Industrial Engineering: Theory, Applications and Practice. 2023. https://doi.org/10.23055/Ijietap.2023.30.5.8737

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

Macht*, G. Nembhard, D. A., And Leicht, R.M. “Operationalizing Emotional Intelligence for Team Performance,” Int. J. Industrial Ergonomics, 71 57-63, 2019. doi.org/10.1016/j.ergon.2019.02.007