Dr Gang Li

  • Research Associate (Centre for Social, Cognitive & Affective Neuroscience)

email: Gang.Li@glasgow.ac.uk

Room 555, 62 Hillhead Street, Glasgow, G12 8QB

ORCID iDhttps://orcid.org/0000-0002-5251-7445

Research interests

Gang is an early career researcher with a strong upward trajectory and have been active in the field of neuro-ergonomics since 2013. His PhD thesis is "A wearable and context-aware brain-machine interface system with integrated neuromodulation for closed-loop driver drowsiness detection". Currently, he is designing and developing novel brain monitoring and intervention tools to improve the usability of consumer VR. He targets his work at top venues in neuro-ergonomics, for example having published papers at IEEE Journal of Biomedical Informatics and Health, Journal of Cognitive Neuroscience, IEEE Transactions on Human-Machine Systems and IEEE Sensors Journal. As a PI, his grants mainly come from the Royal Society of Edinburgh, the National Natural Science Foundation of China, and the Science & Technology Commission of Shanghai Municipality.

Publications

List by: Type | Date

Jump to: 2022 | 2021 | 2020 | 2019
Number of items: 11.

2022

Li, G. and Chung, W.-Y. (2022) Electroencephalogram-based approaches for driver drowsiness detection and management: a review. Sensors, 22(3), 1100. (doi: 10.3390/s22031100) (PMID:35161844) (PMCID:PMC8840041)

2021

Li, G. , McGill, M., Brewster, S. , Chen, C. P., Anguera, J. A., Gazzaley, A. and Pollick, F. (2021) Multimodal biosensing for vestibular network-based cybersickness detection. IEEE Journal of Biomedical and Health Informatics, (doi: 10.1109/JBHI.2021.3134024) (Early Online Publication)

Chen, C. P., Cui, Y., Ye, Y., Yin, F., Shao, H., Lu, Y. and Li, G. (2021) Wide-field-of-view near-eye display with dual-channel waveguide. Photonics, 8(12), 557. (doi: 10.3390/photonics8120557)

Li, G. , Onuoha, O., McGill, M., Brewster, S. , Chen, C. P. and Pollick, F. (2021) Comparing Autonomic Physiological and Electroencephalography Features for VR Sickness Detection Using Predictive Models. In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, FL, USA, 04-07 Dec 2021, ISBN 9781728190488 (doi: 10.1109/SSCI50451.2021.9660126)

Li, G. , Onuoha, O., McGill, M., Brewster, S. , Chen, C. P. and Pollick, F. (2021) Decreased Brain Functional Connectivity in VR Users During Cybersickness. 3rd Neuroergonomics Conference 2021 (NEC 2021), 11-16 Sep 2021. (Accepted for Publication)

Chen, C. P., Mi, L., Zhang, W., Ye, J. and Li, G. (2021) Waveguide-based near-eye display with dual-channel exit pupil expander. Displays, 67, 101998. (doi: 10.1016/j.displa.2021.101998)

Li, G. , McGill, M., Brewster, S. and Pollick, F. (2021) A Review of Electrostimulation-based Cybersickness Mitigations. In: IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR 2020), 14-18 Dec 2020, pp. 151-157. ISBN 9781728174648 (doi: 10.1109/AIVR50618.2020.00034)

2020

Li, G. , Anguera, J. A., Javed, S. V., Khan, M. A., Wang, G. and Gazzaley, A. (2020) Enhanced attention using head-mounted virtual reality. Journal of Cognitive Neuroscience, 32(8), pp. 1438-1454. (doi: 10.1162/jocn_a_01560) (PMID:32286132)

Li, G. , Zhou, S., Kong, Z. and Guo, M. (2020) Closed-loop attention restoration theory for virtual reality-based attentional engagement enhancement. Sensors, 20(8), 2208. (doi: 10.3390/s20082208) (PMID:32295136) (PMCID:PMC7218885)

Li, G. , Macía Varela, F., Habib, A., Zhang, Q., McGill, M., Brewster, S. and Pollick, F. (2020) Exploring the Feasibility of Mitigating VR-HMD-Induced Cybersickness Using Cathodal Transcranial Direct Current Stimulation. In: IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR 2020), 14-18 Dec 2020, ISBN 9781728174631 (doi: 10.1109/AIVR50618.2020.00030)

2019

Li, G. and Khan, M. A. (2019) Deep Learning on VR-Induced Attention. In: 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), San Diego, CA, USA, 9-11 Dec 2019, pp. 163-1633. ISBN 9781728156040 (doi: 10.1109/AIVR46125.2019.00033)

This list was generated on Wed May 18 09:49:34 2022 BST.
Jump to: Articles | Conference or Workshop Item | Conference Proceedings
Number of items: 11.

Articles

Li, G. and Chung, W.-Y. (2022) Electroencephalogram-based approaches for driver drowsiness detection and management: a review. Sensors, 22(3), 1100. (doi: 10.3390/s22031100) (PMID:35161844) (PMCID:PMC8840041)

Li, G. , McGill, M., Brewster, S. , Chen, C. P., Anguera, J. A., Gazzaley, A. and Pollick, F. (2021) Multimodal biosensing for vestibular network-based cybersickness detection. IEEE Journal of Biomedical and Health Informatics, (doi: 10.1109/JBHI.2021.3134024) (Early Online Publication)

Chen, C. P., Cui, Y., Ye, Y., Yin, F., Shao, H., Lu, Y. and Li, G. (2021) Wide-field-of-view near-eye display with dual-channel waveguide. Photonics, 8(12), 557. (doi: 10.3390/photonics8120557)

Chen, C. P., Mi, L., Zhang, W., Ye, J. and Li, G. (2021) Waveguide-based near-eye display with dual-channel exit pupil expander. Displays, 67, 101998. (doi: 10.1016/j.displa.2021.101998)

Li, G. , Anguera, J. A., Javed, S. V., Khan, M. A., Wang, G. and Gazzaley, A. (2020) Enhanced attention using head-mounted virtual reality. Journal of Cognitive Neuroscience, 32(8), pp. 1438-1454. (doi: 10.1162/jocn_a_01560) (PMID:32286132)

Li, G. , Zhou, S., Kong, Z. and Guo, M. (2020) Closed-loop attention restoration theory for virtual reality-based attentional engagement enhancement. Sensors, 20(8), 2208. (doi: 10.3390/s20082208) (PMID:32295136) (PMCID:PMC7218885)

Conference or Workshop Item

Li, G. , Onuoha, O., McGill, M., Brewster, S. , Chen, C. P. and Pollick, F. (2021) Decreased Brain Functional Connectivity in VR Users During Cybersickness. 3rd Neuroergonomics Conference 2021 (NEC 2021), 11-16 Sep 2021. (Accepted for Publication)

Conference Proceedings

Li, G. , Onuoha, O., McGill, M., Brewster, S. , Chen, C. P. and Pollick, F. (2021) Comparing Autonomic Physiological and Electroencephalography Features for VR Sickness Detection Using Predictive Models. In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, FL, USA, 04-07 Dec 2021, ISBN 9781728190488 (doi: 10.1109/SSCI50451.2021.9660126)

Li, G. , McGill, M., Brewster, S. and Pollick, F. (2021) A Review of Electrostimulation-based Cybersickness Mitigations. In: IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR 2020), 14-18 Dec 2020, pp. 151-157. ISBN 9781728174648 (doi: 10.1109/AIVR50618.2020.00034)

Li, G. , Macía Varela, F., Habib, A., Zhang, Q., McGill, M., Brewster, S. and Pollick, F. (2020) Exploring the Feasibility of Mitigating VR-HMD-Induced Cybersickness Using Cathodal Transcranial Direct Current Stimulation. In: IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR 2020), 14-18 Dec 2020, ISBN 9781728174631 (doi: 10.1109/AIVR50618.2020.00030)

Li, G. and Khan, M. A. (2019) Deep Learning on VR-Induced Attention. In: 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), San Diego, CA, USA, 9-11 Dec 2019, pp. 163-1633. ISBN 9781728156040 (doi: 10.1109/AIVR46125.2019.00033)

This list was generated on Wed May 18 09:49:34 2022 BST.

Supervision

Supervisor