Research Associate Scientist Department of Biomedical Engineering
Researches mainly focused on multimodal brain imaging and brain network algorithm, neural computing model, brain-inspired calculating and neural feedback control in areas such as the brain, belongs to the interdisciplinary frontier crossover study, including subjects such as computer science and automatic control theory and algorithm, and the direction of neuroscience, psychology and biomedical applications. Dr. Liu quanying combined high- channel EEG with magnetic brain imaging (fMRI)，proposed a brain source localization algorithm and brain network analysis algorithm based on accurate brain model. The feedback control theory was applied to the research of the sensory-perceptual motor system, and the "layered structure" theory and "diffract-enabled Sweet Spots" theory were put forward. Computational modeling is combined with neural signals to study the brain's computational mechanism. Funded by Swiss science foundation, Boswell foundation of the United States and FWO foundation of Belgium, Dr. Liu quanying has obtained a series of outstanding research results, published 17 papers in eLife, Neuroimage, Human Brain Mapping, Journal of Neuroscience, Journal of neural engineering and other international authoritative journals, and 12 papers in American Control Conference and other top conferences. Her published papers have been cited more than 350 times.
1、Methodological developments of EEG source-level analysis and EEG-fMRI network analysis
2、Modelling autonomous vehicles (AV) - human interactions
3、Computational models of human decision making and the neural representation
4、Non-invasive brain stimulation to modulate human behavior and cognition
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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.