Chang S. (CS) Nam

Adjunct Professor

Email: csnam@ncsu.edu

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

Degree	Program	School	Year
Ph.D.	Doctor of Philosophy in Industrial Engineering	Virginia Tech	2003
MSIE	Master of Science in Industrial Engineering	State University of New York at Buffalo	2000

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

Can vibrotactile stimulation and tDCS help inefficient BCI users?: Won, K., Kim, H., Gwon, D., Ahn, M., Nam, C. S., & Jun, S. C. (2023), JOURNAL OF NEUROENGINEERING AND REHABILITATION, 20(1). https://doi.org/10.1186/s12984-023-01181-0
Designing an XAI interface for BCI experts: A contextual design for pragmatic explanation interface based on domain knowledge in a specific context: Kim, S., Choo, S., Park, D., Park, H., Nam, C. S., Jung, J.-Y., & Lee, S. (2023), INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 174. https://doi.org/10.1016/j.ijhcs.2023.103009
Effectiveness of multi-task deep learning framework for EEG-based emotion and context recognition: Choo, S., Park, H., Kim, S., Park, D., Jung, J.-Y., Lee, S., & Nam, C. S. (2023), EXPERT SYSTEMS WITH APPLICATIONS, 227. https://doi.org/10.1016/j.eswa.2023.120348
Enhancing Culinary Training with Spatial Augmented Reality: A User Study Comparing sAR Kitchen and Video Tutorials: Ghasemi, Y., Bayro, A., MacDonald, J., Jeong, H., Reynolds, J., & Nam, C. S. (2023), 2023 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS, VRW, pp. 390–392. https://doi.org/10.1109/VRW58643.2023.00085
Review of public motor imagery and execution datasets in brain-computer interfaces: Gwon, D., Won, K., Song, M., Nam, C. S., Jun, S. C., & Ahn, M. (2023). [Review of , ]. FRONTIERS IN HUMAN NEUROSCIENCE, 17. https://doi.org/10.3389/fnhum.2023.1134869
Review of public motor imagery and execution datasets in brain-computer interfaces (vol 17, 1134869, 2023): Gwon, D., Won, K., Song, M., Nam, C. S., Jun, S. C., & Ahn, M. (2023, May 17), FRONTIERS IN HUMAN NEUROSCIENCE, Vol. 17. https://doi.org/10.3389/fnhum.2023.1205419
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
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
Editorial: Neuroergonomics in Human-Robot Interaction: Barresi, G., Nam, C. S., Esfahani, E. T., & Balconi, M. (2022, September 6), FRONTIERS IN NEUROROBOTICS, Vol. 16. https://doi.org/10.3389/fnbot.2022.1006103
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, 17(2), 206–217. https://doi.org/10.1093/scan/nsab092

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