Mei's Research

My research focuses on brain-computer interfaces, cognitive computing, and human-AI interaction. I'm particularly interested in how we can design systems that better understand and augment human cognition.

Featured Research

  • Age-Related Changes in Vibro-Tactile EEG Response

    This research explores how older adults show more bi-lateral brain activation patterns compared to younger adults. Bi-lateral activation means when one side of the brain is activated, both respective regions light up.

  • Mindfulness Improves Brain-computer Interface Accuracy

    This study demonstrates how guided meditation helped brain-computer interface users increase their accuracy when using a tactile attention model.

  • Music Imagery for Brain-Computer Interface Control

    This research explores how imagining different scales of musical tunes can be effectively used as commands in a brain-computer interface.

Research Interests

  • Perception of reality, phenomenological, consciousness perturbations
  • Data encodings, personality attunement, individual embedding
  • Artificial stupidity, human-powered machines, brain-server longevity