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My publications are available from the University of Kent's Academic Repository.
I belong to the following research groups:
I am a lecturer in eHealth at the University of Kent and a senior research associate at the University of Cambridge. My research focuses on how the brain mechanisms underlying consciousness are altered in sleep, sedation, meditation, and the vegetative and minimally conscious states. This work has been published in The Lancet, Neurology, PLOS and Brain.
I am applying this science to improve diagnostic and prognostic decision making for patients in these states. I have shown that electroencephalography can be used to characterise brain networks, measure cognition and even detect hidden awareness in patients at their bedside. This research program has received considerable public and media interest, including from BBC Radio 4, World Service, Discovery Channel, Wired Magazine, New Scientist, The Washington Post and Der Spiegel.
October 2018: Art, science and meditation in collaboration with the Coma Science Group led by Prof. Steven Laureys: The art we made from the meditative consciousness of the reknowned Tibetan buddhist, writer, philosopher and "world's happiest man" Matthieu Ricard will be on display at Liege's iconic Guillemins train station all through October and November 2018. Head there to see some Brain'Art!.
October 2018: Congratulations to my PhD student Konstantinos Patlatzoglou on his paper applying deep neural networks to classify anaesthetic-induced states of consciousness, straight from raw EEG. To be presented at Brain Informatics 2018.
August 2018: Our first paper from the BETADOC and MOHAWK projects is now out in Frontiers!
July 2018: I gave a talk on brain network analytics at the Philips Neuro symposium before Cutting EEG 2018.
May 2018: I will be joining the The Alan Turing Institute for Data Science as a visiting researcher.
Feb 2018: Dr. Marco Javarone joins us as a postdoctoral researcher on the EPSRC-funded MOHAWK project.
Dec 2017: My piece for The Conversation on the immense potential and significant challenges in applying modern Artificial Intelligence to improve human health.