Brain connectivity
Network theory
Matrix and tensor decomposition
Nonlinear analysis
Machine learning for physiological data
Alzheimer's disease and dementia
Epilepsy
Intensive care unit data

My research group creates and applies data science techniques to extract information from biomedical signals and clinical time series.

Our main aim is to reveal the subtle changes that major diseases (e.g., Alzheimer's and epilepsy) cause in the brain activity.

In collaboration with researchers at Edinburgh, across the UK and overseas, we are currently working in the processing and analysis of biomedical signals, particularly human brain activity. By developing and applying signal processing methods, we aim at increasing our understanding of how several brain conditions progress. Of particular interest is the evaluation of brain functional connectivity in both neurodevelopmental and neurodegenerative diseases to understand how they affect the way in which different brain regions interact with each other. We are also interested in the interplay between structure and function in the brain and in the application of pattern recognition techniques to highly-dimensional clinical datasets to support decision making.

If you want to know more, check out my "Research in a nutshell" video: Biosignal processing

Brain connectivity
Network theory
Matrix and tensor decomposition
Nonlinear analysis
Machine learning for physiological data
Alzheimer's disease and dementia
Epilepsy
Intensive care unit data

http://scholar.google.co.uk/citations?user=sIBtm3AAAAAJ&hl=en