Expertise: machine learning, multi-modal brain imaging, neural signal processing; EEG/fMRI analysis; neurofeedback control
Dr. Quanying is an assistant professor at Department of Biomedical Engineering, Southern University of Science and Technology (SUSTech), and PI of Neural Computing and Control lab. She received the B.S. degree in electrical engineering and the M.S. degree in computer science at Lanzhou University in 2010 and 2013. After receiving her Ph.D. degree in biomedical engineering at ETH Zurich in 2017, she joined Department of Computing & Mathematical Science, California Institute of Technology (Caltech) as a postdoctoral fellow.
Dr. Quanying Liu is interested in the intersection between machine learning, control theory and neuroscience. She has been working on neural signal processing, EEG and fMRI fusion modeling, neurofeedback control, and deep learning in brain science to explore the brain’s neurocomputing mechanisms and develop cutting-edge tools for clinical diagnosis and treatment of brain disorders.