Sheng Mai
Sheng Mai is a PhD student at the HUB of Intelligent Neuro-engineering (HUBIN) Lab , University College London (UCL). He holds an MSc in Cognitive Neuroscience from UCL and a BSc in Psychology from the University of Essex. To address the challenge of rapid assessing cognitive impairment in patients with stroke and brain injury, Sheng’s research focuses on decoding hemodynamic signatures of cognitive deficits via integrating High-Density Diffuse Optical Tomography (HD-DOT) with computational neuroscience approaches.
Research Interests
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Computational modelling of cognitive impairment dynamics in brain injured
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Investigation of neuroplasticity mechanisms supporting functional recovery via wearable HD-DOT
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Exploration of predictive processing accounts of clinical cognitive symptoms
Publications
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Wu, J., Mai, S., Wong, K.Y. and Wang, Y. (2026) Enabling AI-Driven VR Theatre: A Low-Latency VR-AI Director Framework with Consistent Personae via Machinery Narrative Audit. In: Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2026).
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Wu, J., Mai, S., Wang, S., Zhang, S. and Wang, Y. (2026) BossPlz: An Accessible, Multi-Sensory Interactive Virtual Reality (VR) Experience for Extreme Natural Environments. In: Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2026)