Dr Gang Li

  • Research Associate (School of Psychology & Neuroscience Administration)

email: Gang.Li@glasgow.ac.uk

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

Import to contacts

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

Research interests

My expertise is the design and implementation of the closed-loop EEG-based brain-machine interface system coupled with transcranial electrostimulation (tDCS/tACS) techniques. I obtained an MSc in Computer Science and Engineering and a PhD in Electronic Engineering at two different universities in South Korea. I was a visiting scholar at UC San Francisco in the US and a research assistant professor at Shanghai Jiao Tong University in China. Currently, I am a postdoc research associate leading an ERC-funded multidisciplinary neuroergonomics research in the School of Psychology and Neuroscience and the School of Computing Science. I have authored dozens of scientific articles and have been a chief scientific advisor for a brain science startup company in China. My research and perspectives have been reported by Korean Yonhap News Agency, Scottish The Scotsman and Shanghai Education TV programs. My research vision is to combine neuroscience and immersive technology to enhance brain/human function in real-world settings.

Publications

List by: Type | Date

Jump to: 2023 | 2022 | 2021 | 2020 | 2019
Number of items: 16.

2023

Li, G. , Pohlmann, K., McGill, M., Chen, C. P., Brewster, S. and Pollick, F. (2023) Exploring Neural Biomarkers in Young Adults Resistant to VR Motion Sickness: A Pilot Study of EEG. In: IEEE VR 2023, Shanghai, China, 25-29 Mar 2023, ISBN 9798350348156 (doi: 10.1109/VR55154.2023.00048)

Pohlmann, K. M. T., Li, G. , McGill, M., Pollick, F. and Brewster, S. (2023) Can Gender and Motion Sickness Susceptibility Predict Cybersickness in VR ? In: 30th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2023), Shanghai, China, 25-29 March 2023, ISBN 9798350348392 (doi: 10.1109/VRW58643.2023.00066)

Pöhlmann, K., Li, G. , McGill, M., Markoff, R. and Brewster, S. (2023) You Spin Me Right Round, Baby, Right Round: Examining the Impact of Multi-Sensory Self-Motion Cues on Motion Sickness During a VR Reading Task. In: 2023 CHI Conference on Human Factors in Computing Systems (CHI '23), Hamburg, Germany, 23-28 Apr 2023, p. 712. ISBN 9781450394215 (doi: 10.1145/3544548.3580966)

2022

Pöhlmann, K. M. T., Auf Der Heyde, M. S. K., Li, G. , Verstraten, F., Brewster, S. A. and McGill, M. (2022) Can Visual Motion Presented in a VR Headset Reduce Motion Sickness for Vehicle Passengers? In: Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '22), Seoul, South Korea, 17-20 Sep 2022, pp. 114-118. ISBN 9781450394284 (doi: 10.1145/3544999.3552488)

Pöhlmann, K. M. T., Li, G. , Dam, A., Wang, Y.-K., Wei, C.-S., Brietzke, A. and Papaioannou, G. (2022) Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys. Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '22), Seoul, South Korea, 17-20 Sep 2022. pp. 157-160. ISBN 9781450394284 (doi: 10.1145/3544999.3550156)

Li, G. , McGill, M., Brewster, S. , Chen, C. P., Anguera, J. A., Gazzaley, A. and Pollick, F. (2022) Multimodal biosensing for vestibular network-based cybersickness detection. IEEE Journal of Biomedical and Health Informatics, 26(6), pp. 2469-2480. (doi: 10.1109/JBHI.2021.3134024)

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

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 Fri Dec 1 11:57:20 2023 GMT.
Number of items: 16.

Articles

Li, G. , McGill, M., Brewster, S. , Chen, C. P., Anguera, J. A., Gazzaley, A. and Pollick, F. (2022) Multimodal biosensing for vestibular network-based cybersickness detection. IEEE Journal of Biomedical and Health Informatics, 26(6), pp. 2469-2480. (doi: 10.1109/JBHI.2021.3134024)

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)

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

Pöhlmann, K. M. T., Li, G. , Dam, A., Wang, Y.-K., Wei, C.-S., Brietzke, A. and Papaioannou, G. (2022) Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys. Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '22), Seoul, South Korea, 17-20 Sep 2022. pp. 157-160. ISBN 9781450394284 (doi: 10.1145/3544999.3550156)

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. , Pohlmann, K., McGill, M., Chen, C. P., Brewster, S. and Pollick, F. (2023) Exploring Neural Biomarkers in Young Adults Resistant to VR Motion Sickness: A Pilot Study of EEG. In: IEEE VR 2023, Shanghai, China, 25-29 Mar 2023, ISBN 9798350348156 (doi: 10.1109/VR55154.2023.00048)

Pohlmann, K. M. T., Li, G. , McGill, M., Pollick, F. and Brewster, S. (2023) Can Gender and Motion Sickness Susceptibility Predict Cybersickness in VR ? In: 30th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2023), Shanghai, China, 25-29 March 2023, ISBN 9798350348392 (doi: 10.1109/VRW58643.2023.00066)

Pöhlmann, K., Li, G. , McGill, M., Markoff, R. and Brewster, S. (2023) You Spin Me Right Round, Baby, Right Round: Examining the Impact of Multi-Sensory Self-Motion Cues on Motion Sickness During a VR Reading Task. In: 2023 CHI Conference on Human Factors in Computing Systems (CHI '23), Hamburg, Germany, 23-28 Apr 2023, p. 712. ISBN 9781450394215 (doi: 10.1145/3544548.3580966)

Pöhlmann, K. M. T., Auf Der Heyde, M. S. K., Li, G. , Verstraten, F., Brewster, S. A. and McGill, M. (2022) Can Visual Motion Presented in a VR Headset Reduce Motion Sickness for Vehicle Passengers? In: Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '22), Seoul, South Korea, 17-20 Sep 2022, pp. 114-118. ISBN 9781450394284 (doi: 10.1145/3544999.3552488)

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 Fri Dec 1 11:57:20 2023 GMT.

Grants

Grants and Awards listed are those received whilst working with the University of Glasgow.

  • Reducing VR motion sickness using a built-in neurostimulation module
    Medical Research Council
    2023 - 2024
     
  • Metacare: AI-Powered Automated Detection of Motion Sickness for VR Users Struggling in the Metaverse-Based Transport
    The Royal Society of Edinburgh
    2023 - 2023
     

Supervision

Supervisor