On February 3, 2026, the 2nd China Brain-Computer Interface Hua Nao Award was grandly announced and successfully concluded in Tianjin. Professor Bin Hu, Director of the UAIS Lab, was officially awarded the Distinguished Scholar Award of the China Brain-Computer Interface Hua Nao Award, in recognition of his major original breakthroughs and outstanding academic leadership in the fields of brain-computer interface and intelligent brain health.

Professor Bin Hu has long been engaged in research on medical electronics for brain function and affective computing. He proposed the theory and methodology of computing psychophysiology, providing methodological support for breaking through the limitations of traditional diagnosis of mental disorders. He invented a 3-channel EEG-based quantitative assessment technique for cognitive bias toward negative emotions, achieving a recognition accuracy of over 90% for depressive disorders. He developed diagnostic devices for multi-modal digital phenotypes including ECG, eye movement, voice, facial expression, gait, and sleep, with a recognition accuracy of over 80% for depressive disorders. He put forward a closed-loop adaptive biofeedback intervention model for depressive disorders and implemented the first prototype system, filling the gap in non-pharmacological precise intervention, with an intervention effectiveness rate of 80%. He also released MODMA, the world’s first multi-modal psychophysiological database for the quantitative assessment of depressive disorders. The technologies have received many national and provincial/ministerial awards and been certified as Class II National Medical Devices. These efforts have greatly advanced the development of objective and quantitative diagnosis as well as non-pharmacological intervention for mental disorders.

As the most influential professional award in China’s brain-computer interface field to date, the Hua Nao Award is committed to the top academic and technological honor in China’s BCI sector. It recognizes outstanding talents and representative achievements that have made major breakthroughs and played a leading role in the field. Among its categories, the Distinguished Scholar Award is presented to leading researchers who have achieved groundbreaking results and exerted a significant guiding influence on disciplinary development and technological progress. This award represents the highest level of academic recognition in domestic brain-computer interface research.