Principle Investigator
Kefei LIU
Assistant Professor
Bioscience and Biomedical Engineering Thrust
Systems Hub, HKUST(GZ)
Email: kefeiliu##hkust-gz.edu.cn (replace ## with @)
He obtained his B.Sc. degree in Pharmaceutical engineering from Jilin University. And received his Ph.D. degree in Neuroscience from the Institute of Neuroscience, Chinese Academy of Sciences. Then he conducted postdoctoral research at the School of Medicine, Yale University. His studies have been published in Nature Neuroscience, Neuron, Science, Nature Communications, and other high-impact international academic journals.
Group Students
Yu ZHOU
Ph.D. student (Sep 2022-)
Research fields are computational neuroscience, autonomous driving decision-making algorithms and computer vision.
Mingnan WEI
Ph.D. student (Sep 2022-)
Research fields are embedded biomedical system development, brain-computer interface, and neural signal analysis.
Shuyun XING
Ph.D. student (Feb 2023-)
Research fields are neural circuits and molecular mechanisms of neurodegenerative and psychiatric diseases.
Fangchao LIU
Ph.D. student (Sep 2023-)
Research fields are neuroelectrophysiology, computational neuroscience, and brain-computer interface.
Gongpengyang SHI
Ph.D. student (Sep 2023-)
Research fields are computational neuroscience, system neuroscience and neural signal decoding.
Keyin LIU
Ph.D. student (Sep 2023-)
Research fields are neural coding and deep learning to analyze histological images and spatial transcriptomics data.
Fei ZAN
MPhil. student (Sep 2024-)
Research field are neuro-computing and rodent visual-assisted navigation neural biological mechanisms.
Qi HUANG
Res. Assistant (Sep 2024-)
Research fields are hippocampal replay, neuro-electrophysiology, neural signal decoding.
Jiye WANG
Res. Assistant (Sep 2024-)
Research fields are neural encoding and modelling neural circuits, temporal interference stimulation.
Jiajun SUN
Intern student (Sep 2024-)
Research fields are brain-computer interface technology development, treatment of neurodegenerative diseases.
Kaihan HUANG
Intern student (Sep 2024-)
Research fields are brain-computer interface, neural signal decoding, and computational neuroscience.