Gang is an early career researcher, with a strong upward trajectory, who has been active in the field of passive brain-machine interface (BMI)-based neuro-ergonomics since 2013. Currently, he is designing and developing novel brain monitoring and intervention tools to improve the usability of consumer VR. Gang is an early career researcher with a strong upward trajectory and have been active in the field of neuro-ergonomics since 2013. His PhD thesis is "A wearable and context-aware brain-machine interface system with integrated neuromodulation for closed-loop driver drowsiness detection". Currently, he is designing and developing novel brain monitoring and intervention tools to improve the usability of consumer VR. He targets his work at top venues in neuro-ergonomics, for example having published papers at IEEE Journal of Biomedical Informatics and Health, Journal of Cognitive Neuroscience, IEEE Transactions on Human-Machine Systems and IEEE Sensors Journal. As a PI, his grants mainly come from the Royal Society of Edinburgh, the National Natural Science Foundation of China, and the Science & Technology Commission of Shanghai Municipality.
Research Keywords & Expertise
brain stimulation
Brain-machine interfac...
Cognitive neuroergonom...
Cognitive functioning ...
Multimodal biosensing
Fingerprints
brain stimulation
Brain-machine interface
Multimodal biosensing
Short Biography
Gang is an early career researcher, with a strong upward trajectory, who has been active in the field of passive brain-machine interface (BMI)-based neuro-ergonomics since 2013. Currently, he is designing and developing novel brain monitoring and intervention tools to improve the usability of consumer VR. Gang is an early career researcher with a strong upward trajectory and have been active in the field of neuro-ergonomics since 2013. His PhD thesis is "A wearable and context-aware brain-machine interface system with integrated neuromodulation for closed-loop driver drowsiness detection". Currently, he is designing and developing novel brain monitoring and intervention tools to improve the usability of consumer VR. He targets his work at top venues in neuro-ergonomics, for example having published papers at IEEE Journal of Biomedical Informatics and Health, Journal of Cognitive Neuroscience, IEEE Transactions on Human-Machine Systems and IEEE Sensors Journal. As a PI, his grants mainly come from the Royal Society of Edinburgh, the National Natural Science Foundation of China, and the Science & Technology Commission of Shanghai Municipality.
