Jiali Huang
Ph.D. Student
- Email: jhuang31@ncsu.edu
- Office: 4101 Fitts-Woolard Hall
Jiali Huang is currently a Ph.D. student in Industrial and Systems Engineering at North Carolina State University. Her research interests lie primarily in Dynamic Causal Modeling (DCM) and its usage in human-automation interaction and neuroergonomics. Using DCM, she studied the connectivity between brain regions embedded in large-scale brain networks under different experimental circumstances. The findings elucidated the brain mechanisms underpinning various mental activities. She is now working to incorporate machine learning techniques in the
modeling and hopefully further our understanding of the brain.
Publications
- Culture and gender modulate dlPFC integration in the emotional brain: evidence from dynamic causal modeling
- Pugh, Z. H., Huang, J., Leshin, J., Lindquist, K. A., & Nam, C. S. (2022, May 25), COGNITIVE NEURODYNAMICS, Vol. 5. https://doi.org/10.1007/s11571-022-09805-2
- Estimating effective connectivity in Alzheimer's disease progression: A dynamic causal modeling study
- Huang, J., Jung, J.-Y., & Nam, C. S. (2022), FRONTIERS IN HUMAN NEUROSCIENCE, 16. https://doi.org/10.3389/fnhum.2022.1060936
- Evaluating Effective Connectivity of Trust in Human-Automation Interaction: A Dynamic Causal Modeling (DCM) Study
- Huang, J., Choo, S., Pugh, Z. H., & Nam, C. S. (2022), HUMAN FACTORS, 64(6), 1051–1069. https://doi.org/10.1177/0018720820987443
- Brain-to-Brain Neural Synchrony During Social Interactions: A Systematic Review on Hyperscanning Studies
- Nam, C. S., Choo, S., Huang, J., & Park, J. (2020). [Review of , ]. APPLIED SCIENCES-BASEL, 10(19). https://doi.org/10.3390/app10196669
