Chang S. (CS) Nam

Professor

  • Phone: 919.515.8140
  • Office: 4171 Fitts-Woolard Hall

Chang S. Nam is a Professor of Industrial and Systems Engineering at North Carolina State University. He is also an associated faculty in the UNC/NCSU Joint Department of Biomedical Engineering as well as the Department of Psychology. He is a fellow of the Human Factors and Ergonomics Society. Currently, Dr. Nam serves as the Editor-in-Chief of the journal Brain-Computer Interfaces. He has received the NSF CAREER Award (2010), Outstanding Researcher Award (2010-2011), and Best Teacher Award (2010-2011). He is a recipient of the 2018 US Air Force Summer Faculty Fellowship Program (AFSFFP) Award and the 2019 Leland S. Kollmorgen Spirit of Innovation Award from the HFES Augmented Cognition TG. Dr. Nam teaches and conducts basic and applied research in human factors and ergonomics engineering to advance the science of Human-Computer Interaction (HCI) with a broad perspective on the application of systems and information engineering to human-centered technologies, including brain-computer interfaces and rehabilitation engineering. His research has been supported by the National Science Foundation (NSF), Air Force Research Laboratory (AFRL), Air Force Office of Scientific Research (AFOSR), and the Laboratory for Analytic Sciences (LAS), UNC/NCSU Rehabilitation Engineering Center (REC). He is the main editor (with Drs. Nijholt and Lotte) of “Brain-Computer Interfaces Handbook: Technological and Theoretical Advances,” published by CRC Press. Currently, Nam serves as the Editor-in-Chief of the journal Brain-Computer Interfaces. For more details, refer to Brain-Computer Interface (BCI) Lab.
 

Research Interests

CS Nam’s research interests include Brain-computer interface and neurorehabilitation, haptic-user interaction, neuroergonomics, and adaptive and intelligent human-computer interaction.
 

Education

DegreeProgramSchoolYear
Ph.D.Doctor of Philosophy in Industrial EngineeringVirginia Tech2003
MSIEMaster of Science in Industrial EngineeringState University of New York at Buffalo2000
 

Honors and Awards

  • 2021 | Fellow, Human Factors and Ergonomics Society
  • 2019 | Leland S. Kollmorgen Spirit of Innovation Award, HFES Augmented Cognition TG
  • 2018 | Award for Outstanding Book in STEM, Taylor and Francis Group
  • 2018 | U.S. Air Force Research Lab Summer Faculty Fellowship Program (AFSFFP) Awardee
  • 2010 | CAREER Award, National Science Foundation
  • 2010 | Outstanding Researcher Award, University of Arkansas
  • 2010 | Best Teacher Award, University of Arkansas

 

Discover more about CS Nam

 

Publications

Detecting Human Trust Calibration in Automation: A Convolutional Neural Network Approach
Choo, S., & Nam, C. (2022, January 19), IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol. 1. https://doi.org/10.1109/THMS.2021.3137015
Emotion depends on context, culture and their interaction: evidence from effective connectivity
Pugh, Z. H., Choo, S., Leshin, J. C., Lindquist, K. A., & Nam, C. S. (2022), SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, 2. https://doi.org/10.1093/scan/nsab092
A Functional BCI Model by the P2731 working group: Physiology
Hossaini, A., Valeriani, D., Nam, C. S., Ferrante, R., & Mahmud, M. (2021, September 5), BRAIN-COMPUTER INTERFACES, Vol. 9. https://doi.org/10.1080/2326263X.2021.1968665
A functional BCI model by the P2731 working group: control interface
Easttom, C., Bianchi, L., Valeriani, D., Nam, C. S., Hossaini, A., Zapala, D., … Balachandran, P. (2021), BRAIN-COMPUTER INTERFACES, 10. https://doi.org/10.1080/2326263X.2021.2002004
Direct Communication Between Brains: A Systematic PRISMA Review of Brain-To-Brain Interface
Nam, C. S., Traylor, Z., Chen, M., Jiang, X., Feng, W., & Chhatbar, P. Y. (2021). [Review of , ]. FRONTIERS IN NEUROROBOTICS. https://doi.org/10.3389/fnbot.2021.656943
Dual Task Effects on Speed and Accuracy During Cognitive and Upper Limb Motor Tasks in Adults With Stroke Hemiparesis
Kim, H., Kim, H.-K., Kim, N., & Nam, C. S. (2021), FRONTIERS IN HUMAN NEUROSCIENCE, 6. https://doi.org/10.3389/fnhum.2021.671541
Effect of Low Intensity Transcranial Ultrasound Stimulation on Neuromodulation in Animals and Humans: An Updated Systematic Review
Kim, T., Park, C., Chhatbar, P. Y., Feld, J., Mac Grory, B., Nam, C. S., … Feng, W. (2021). [Review of , ]. FRONTIERS IN NEUROSCIENCE, 15. https://doi.org/10.3389/fnins.2021.620863
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. (2021), HUMAN FACTORS. https://doi.org/10.1177/0018720820987443
Trust in human-robot interaction
Nam, C. S., & Lyons, J. B. (Eds.). (2021). , . London: Elsevier Academic Press.
A Sensorimotor Rhythm-Based Brain–Computer Interface Controlled Functional Electrical Stimulation for Handgrasp Rehabilitation
Choi, I., Kim, N., & Nam, C. S. (2020), In C. S. Nam (Ed.), Neuroergonomics: principles and practice (pp. 329–349). https://doi.org/10.1007/978-3-030-34784-0_17

View all publications via NC State Libraries

Chang “CS” Nam