Edinburgh Research Explorer

Dr Javier Escudero Rodriguez

Chancellor's Fellow

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Willingness to take Ph.D. students: Yes

If you are interested in doing a PhD in my research lines (tensor factorisation, network analysis, biomedical signal processing...), send me an email to discuss potential options.

Education / Academic qualification

Doctor of Philosophy (PhD), Universidad de Valladolid
Applications of Blind Source Separation to the Magnetoencephalogram Background Activity in Alzheimer's Disease
Master of Engineering, Universidad de Valladolid

Research Interests

  • Multiway analysis
  • Brain connectivity
  • Network theory
  • Multivariate signal processing
  • Applications of pattern recognition to physiological data
  • Electroencephalogram (EEG) and Electromyogram (EMG)
  • Alzheimer's disease
  • Epilepsy

My research in a nutshell

In my research, I create and apply data analysis tools to extract information from biomedical data and clinical time series. We focus on major brain diseases, such as Alzheimer's disease and epilepsy. If you want to know more, check out my "Research in a nutshell" video: Biosignal processing

Biography

We focus on processing biomedical signals and images in clinical applications.

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. Finally, we also work in the development of non-invasive methods for rehabilitation purposes, being either the dexterous controls prostheses for amputees or brain-computer interfaces.

 

Research activities & awards

  1. Research Visit to the VU Medical Centre

    Activity: External academic engagementResearch and Teaching at External Organisation

  2. Member of the Young Academy of Scotland

    Activity: Awards and AccoladesElection to learned society

  3. Computational Neurology 2017

    Activity: Participation in conference, seminar or training courseParticipation in workshop, seminar, course

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