Research Associate Scientist Department of Biomedical Engineering
Dr. Quanying Liu, joined Southern University of Science and Technology in September 2019, Assistant Professor of the Department of Biomedical Engineering, Doctoral Supervisor, PI of Neural Computing and Control Laboratory. Dr. Quanying Liu graduated from the Swiss Federal Institute of Technology in Biomedical Engineering and received postdoctoral training in computing and mathematical sciences at the California Institute of Technology in the United States.
Dr. Quanying Liu’s research focuses on machine learning algorithms, multi-modal neural signal processing, neural computational modelling, medical artificial intelligence, etc., published papers in international authoritative journals and conferences such as PNAS, Neuroimage, Human Brain Mapping, Journal of neural engineering, etc. More than 40 articles. His published papers have been cited more than 800 times, with an H factor of 15 and an i10 factor of 23.
1) Machine learning algorithm (deep generative model, manifold learning)
2) Neural computational modelling (neural representation, brain network dynamics)
3) Multimodal neural data fusion algorithm (DTI, fMRI, EEG, SEEG)
4) Network control theory
5) Neurofeedback control (TMS, tDCS/tACS, Neurofeedback)
6) Two-way brain-computer interface
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Lab members Read More
We are welcome talented applicants for the Ph.D. program and master program.
We also accepted undergraduate interns.
Undergraduate students at SUSTech are welcome to have lunch with me on Wednesday!
Ph.D. and master applicants please feel free to send us an email to introduce yourself, including your CV, research experiences, skills, and research interests.
We ONLY require the basic math knowledge of linear algebra and probability, and a strong curiosity about how our brain works.
We encourage girls in STEM to join NCC lab.