Dr. Shenghong He

Shenghong He graduated with a D.Phil. in Engineering from the South China University of Technology, China, in December 2017. His graduate work mainly focused on developing real-time brain-machine interface (BMI) methods and their application using electroencephalography and electrooculography.

In May 2018, Shenghong joined Dr Huiling Tan’s Group as a Postdoctoral Research Scientist in Neuroscience. Shenghong’s current research is focused on developing BMI systems based on subcortical local field potentials recorded from people with Parkinson’s, and testing the efficacy of this new BMI system in neuroprosthetic control and neurofeedback training. His work involves collecting behavioural and electrophysiological data, analysing brain signals in real-time to decode relevant information, using this information to drive an external actuator, and, at the same time, investigating the neural basis of the learning evident in BMI use in humans.