Neural engineering, fMRI and EEG-based brain network analysis

Kangli Dong joined the Department of Biomedical Engineering at Shantou University as a lecturer in February 2024. He obtained his Ph.D. in Biomedical Engineering from Zhejiang University in June 2023. His research interests include neural engineering, fMRI and EEG-based brain network analysis. He has published several papers in SCI and EI-indexed journals, including Engineering (IF=12.8), IEEE Transactions on Neural Systems & Rehabilitation Engineering (IF=4.9), Computers in Biology and Medicine (IF=7.7), Journal of Sound and Vibration (IF=4.7), Neurocomputing (IF=6.0), and more. He serves as a reviewer for journals such as Journal of Neural Engineering, Journal of Mechanical Science and Technology, and more. Currently, he is leading one research project funded by the STU Scientific Research Initiation Grant.

Email: kanglidong@stu.edu.cn

Education Background

Zhejiang University (2019 - 2023)

   Ph.D. in Biomedical Engineering (Research interests: Neural Engineering, Brain-Machine Interfaces, Functional Brain Network Analysis)

Lanzhou Jiaotong University (2016 - 2019)

   Master of Mechanical Electronic Engineering (Research interests: Optimal sensor Placement in Large Complex Structures, Evolutionary Algorithms)

Shandong University of Science and Technology (2012 - 2016)

   Bachelor of Mechanical Design, Manufacturing and Automation

Work Experience

Director of the Medical Administration Section, Nanhai District Health Bureau, Foshan (temporary post for personal training and development, August 2023 - January 2024)

Lecturer, Department of Biomedical Engineering, Shantou University (February 2024 - Present)

Research interests

Neural engineering, fMRI and EEG-based brain network analysis

Research projects

STU Scientific Research Initiation Grant, 2024.4-2027.4

Publications

• Kangli Dong, Qishun Wei, et al. Recovery of brain network integration and segregation during the loss and recovery of consciousness induced by sevoflurane, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2023. IF=4.9.

• Kangli Dong, Delin Zhang, et al. An integrated information theory index using multichannel EEG for evaluating various states of consciousness under anesthesia, Computers in Biology and Medicine, 2023. IF=7.7.

• Kangli Dong, Delin Zhang, et al. Intrinsic phase-amplitude coupling on multiple spatial scales during the loss and recovery of consciousness, Computers in Biology and Medicine, 2022. IF=7.7. 

• Zhenrui Peng, Kangli Dong*, et al. A new Bayesian finite element model updating method based on information fusion of multi-source Markov chains, Journal of Sound and Vibration, 2022. IF=4.7.

• Jun Liu, Kangli Dong, et al. Progress of brain network studies on anesthesia and consciousness: framework and clinical applications, Engineering, 2023. IF=12.8.

• Hong Yin, Kangli Dong, An Pan, et al. Optimal sensor placement based on relaxation sequential algorithm. Neurocomputing, 2019. IF=6.0.

• Jun Liu, Kangli Dong*, et al. Dynamic alpha-gamma phase-amplitude coupling signatures during sevoflurane-induced loss and recovery of consciousness, Neuroscience Research, 2022. IF=2.9.

• Zhenrui Peng, Kangli Dong, Hong Yin, et al. Modification of fish swarm algorithm based on Lévy flight and firefly behavior. Computational Intelligence & Neuroscience, 2018. IF=3.1.

• Guozheng Wang, Yi Yang, Kangli Dong, et al. Multisensory Conflict Impairs Cortico-Muscular Network Connectivity and Postural Stability: Insights from Partial Directed Coherence Analysis, Neuroscience Bulletin, 2023. IF=5.6.