Yongcheng Li

I am currently an Associate Professor at the Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences and Research Affiliate at the Institute of Advanced Integration Technology. I graduated with a PhD in engineering from University of Chinese Academy of Sciences in Jan. 2016, and achieved my bachelor degree from University of Sciences and Technology of China (USTC) in 2009. Prior to joining SIAT, I was a postdoc at the National University of Singapore (NUS)(2016-4 to 2017-4), and at the University of California, Irvine (UCI)(2017-9 to 2020-11), respectively

My research is focused on neural interface, including brain-machine interfaces (BMIs), neural prosthetics and dissociated neural network interface. BMIs are devices that translate signals from the cerebral cortex and use them to control a variety of outputs such as a computer cursor, prosthetic limb, exoskeleton, or electrically-stimulated muscles in a paralyzed limb. BMIs could allow patients with severe paralysis (quadriplegic or “locked-in, for example from ALS, stroke or spinal cord injury) to interact with their environment and potentially regain the use of a limb again. We are investigating the use of BMIs as a rehabilitative tool to drive changes in the brain's wiring. In addition, this technology could also provide a way for such impaired subjects to communicate by directly decoding their intended speech from the cortex. Our final goal is to optimize BMIs to the extent which they can safely and effectively be used in humans for long-term applications. Moreover, I also connected the dissociated neural network with external environment. This engineered neural network could not only allow us to investigate the fundamental principles with respect to brain, but also potentially to transplant to brain for restoring the impaired brain areas. Therefore, my research interests include the fields as below:
Brain-machine Interface for rehabilitation
Neural Prosthetics
Dissociated Neural Network Interface
Machine Learning
Data Analytics
Artificial Intelligence
Neural Signal Processing
Neural Cognitive Process and Rehabilitation