Dr. Chang S. Nam is currently professor of Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University, USA. He is also an associated professor of the UNC/NCSU Joint Department of Biomedical Engineering, Department of Psychology and Biomedical Research Imaging Center. He received a PhD from the Grado Department of Industrial and Systems Engineering at Virginia Tech in 2003. His research interests center around brain-computer interfaces, social cognitive and affective neuroscience, computational neuroscience, and trust in human-robot interaction. Dr. Nam has received the NSF CAREER Award (2010), Outstanding Researcher Award (2010-2011), and Best Teacher Award (2010-2011). He is the main editor of “Brain–Computer Interfaces Handbook: Technological and Theoretical Advances” (CRC Press). He is a recipient of the US Air Force Summer Faculty Fellowship Program Award in 2018. Currently, Nam serves as the Editor-in-Chief of the journal Brain-Computer Interfaces.

• Brain Basics in Neuroergonomics.- The EEG Cookbook: A Practical Guide to Neuroergonomics Research.- Functional Near-infrared Spectroscopy (fNIRS) in Neuroergonomics.- Transcranial Direct Current Stimulation (tDCS): A Beginner's Guide for Neuroergonomists.- Adaptive Control of Thought-Rational (ACT-R): Applying a Cognitive Architecture to Neuroergonomics.- Deep Learning Techniques in Neuroergonomics.- Dynamic Causal Modeling Approach to Neuroergonomics.- Physical Activity and Sedentary Behavior Influence on Executive Function in Daily Living.- Neuroergonomics and Its Relation to Psychophysiology.- Hello Computer, How Am I Feeling?, Case Studies of Neural Technology to Measure Emotions.- The Neural Basis of Cognitive Efficiency in Motor Skill Performance Across Early Learning to Automatic Stages.- Approaches for Inserting Neurodynamics into the Training of Healthcare Teams.- The Neuroergonomics of Music Proficiency and Performance.- Hybrid EEG-fTCD Brain-Computer Interfaces.- The State-Of-The-Art Use of Brain-Computer Interfaces for Spinal Cord Injury Rehabilitation.- Brain-Computer Interface (BCI) Controlled Functional Electrical Stimulation (FES) for Hand Grasp Rehabilitation.- Neuroergonomics Behind the Wheel: Neural Correlates of Car Driving.- Fundamentals and Emerging Trends of Neuro-Ergonomics Application to Driving and Navigation.- Neuroergonomic Solutions in AR and VR Applications.- Neuroergonomic Applications in Information Visualization.- Neural Correlates and Mechanisms of Trust.

Dr. Chang S. Nam is currently professor of Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University, USA. He is also an associated professor of the UNC/NCSU Joint Department of Biomedical Engineering, Department of Psychology and Biomedical Research Imaging Center. He received a PhD from the Grado Department of Industrial and Systems Engineering at Virginia Tech in 2003. His research interests center around brain-computer interfaces, social cognitive and affective neuroscience, computational neuroscience, and trust in human-robot interaction. Dr. Nam has received the NSF CAREER Award (2010), Outstanding Researcher Award (2010-2011), and Best Teacher Award (2010-2011). He is the main editor of “Brain–Computer Interfaces Handbook: Technological and Theoretical Advances” (CRC Press). He is a recipient of the US Air Force Summer Faculty Fellowship Program Award in 2018. Currently, Nam serves as the Editor-in-Chief of the journal Brain-Computer Interfaces.

• Brain Basics in Neuroergonomics.- The EEG Cookbook: A Practical Guide to Neuroergonomics Research.- Functional Near-infrared Spectroscopy (fNIRS) in Neuroergonomics.- Transcranial Direct Current Stimulation (tDCS): A Beginner's Guide for Neuroergonomists.- Adaptive Control of Thought-Rational (ACT-R): Applying a Cognitive Architecture to Neuroergonomics.- Deep Learning Techniques in Neuroergonomics.- Dynamic Causal Modeling Approach to Neuroergonomics.- Physical Activity and Sedentary Behavior Influence on Executive Function in Daily Living.- Neuroergonomics and Its Relation to Psychophysiology.- Hello Computer, How Am I Feeling?, Case Studies of Neural Technology to Measure Emotions.- The Neural Basis of Cognitive Efficiency in Motor Skill Performance Across Early Learning to Automatic Stages.- Approaches for Inserting Neurodynamics into the Training of Healthcare Teams.- The Neuroergonomics of Music Proficiency and Performance.- Hybrid EEG-fTCD Brain-Computer Interfaces.- The State-Of-The-Art Use of Brain-Computer Interfaces for Spinal Cord Injury Rehabilitation.- Brain-Computer Interface (BCI) Controlled Functional Electrical Stimulation (FES) for Hand Grasp Rehabilitation.- Neuroergonomics Behind the Wheel: Neural Correlates of Car Driving.- Fundamentals and Emerging Trends of Neuro-Ergonomics Application to Driving and Navigation.- Neuroergonomic Solutions in AR and VR Applications.- Neuroergonomic Applications in Information Visualization.- Neural Correlates and Mechanisms of Trust.