Bio

About Dr. Chang S. (CS) Nam

Dr. Chang S. (CS) Nam is a Professor of Industrial and Systems Engineering at North Carolina State University. He also holds associated faculty appointments in the UNC/NCSU Joint Department of Biomedical Engineering and the Department of Psychology. A fellow of the Human Factors and Ergonomics Society (HFES), Dr. Nam is a recognized leader in the fields of human factors, ergonomics, and human-computer interaction (HCI). He currently serves as the Editor-in-Chief of the journal Brain-Computer Interfaces, further highlighting his influence in this cutting-edge research area.

Dr. Nam has received numerous accolades throughout his career, including the NSF CAREER Award (2010), Outstanding Researcher Award (2010-2011), and Best Teacher Award (2010-2011). His achievements also include the prestigious 2018 U.S. Air Force Summer Faculty Fellowship Program Award and the 2019 Leland S. Kollmorgen Spirit of Innovation Award from the HFES Augmented Cognition Technical Group. These honors underscore his commitment to advancing both research and education in his field.

Research and Contributions

Dr. Nam’s teaching and research focus on human factors and ergonomics engineering to enhance human-centered technologies. His work spans a variety of areas, including brain-computer interfaces, neurorehabilitation, haptic-user interaction, neuroergonomics, and adaptive intelligent human-computer interaction. By integrating industrial and systems engineering with psychology and biomedical engineering, Dr. Nam develops innovative solutions for real-world challenges.

His research is supported by major organizations such as the National Science Foundation (NSF), the Air Force Research Laboratory (AFRL), the Air Force Office of Scientific Research (AFOSR), and the Laboratory for Analytic Sciences (LAS). Dr. Nam is also the lead editor of Brain-Computer Interfaces Handbook: Technological and Theoretical Advances, a foundational text in the field.

For more information on Dr. Nam’s work, visit the Brain-Computer Interface (BCI) Lab. or explore his faculty profile. His dedication to advancing technology and improving lives continues to shape the future of human-computer interaction and neuroengineering.

Area(s) of Expertise

Brain-computer interface and neurorehabilitation, haptic-user interaction, neuroergonomics, and adaptive and intelligent human-computer interaction.

Publications

• A brief history of the Metaverse: From early beginnings to the cutting edge , Elsevier eBooks (2025)
• A scoping review on emerging technologies and automation of musculoskeletal ergonomic assessments , Ergonomics (2025)
• Brain dynamics of mental workload in a multitasking context: Evidence from dynamic causal modeling , Computers in Human Behavior (2023)
• Can vibrotactile stimulation and tDCS help inefficient BCI users? , Journal of NeuroEngineering and Rehabilitation (2023)
• Corrigendum: Review of public motor imagery and execution datasets in brain-computer interfaces , Frontiers in Human Neuroscience (2023)
• Designing an XAI interface for BCI experts: A contextual design for pragmatic explanation interface based on domain knowledge in a specific context , International Journal of Human-Computer Studies (2023)
• Effectiveness of multi-task deep learning framework for EEG-based emotion and context recognition , Expert Systems with Applications (2023)
• Enhancing Culinary Training with Spatial Augmented Reality: A User Study Comparing sAR Kitchen and Video Tutorials , 2023 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS, VRW (2023)
• Review of public motor imagery and execution datasets in brain-computer interfaces , Frontiers in Human Neuroscience (2023)
• Culture and gender modulate dlPFC integration in the emotional brain: evidence from dynamic causal modeling , Cognitive Neurodynamics (2022)

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