Dr Vania Almeida


Dr Vania Almeida

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  • 2015 - present: Marie Curie Research Fellow, Aston University
  • 2014 - 2015: Post-doc researcher, INESC TEC, Porto, Portugal


I have recently joined the School of Engineering & Applied Science - Computer Science department.

I was awarded a Marie Skłodowska-Curie Individual Fellowship from the European Commission. My research project entitled Improved Patient Safety through Intensive Biosignal Monitoring (IPSIBiM) targets the development of a system based on wireless recording of real-time vital signs and analytical algorithms capable of providing guidance to clinicians of early signs of deterioration.

 During my PhD I participated in the project "Development and characterization of new sensors for hemodynamic assessment", where I acquired expertise in biomedical instrumentation, I was engaged in the development of a platform dedicated to arterial stiffness assessment, comprising a multi-modular platform designed to incorporate several clinical data (e.g. ECG, arterial pressure waveform, pulse wave velocity, PPG) and algorithmic tools capable to identify arterial stiffness.

As Post-Doc in LIAAD/INESC TEC I participated in the projects BestCase and MAESTRA (Learning from Massive, Incompletely annotated, and Structured Data). My activities included:  the application of summarization techniques; the development of wind power forecast algorithms to a very short term; the implementation of electricity load forecast algorithms with confidence values; the study of the hierarchical nature of data collected at electrical grids.


  • Integrated Master's degree in Biomedical Engineering with specialization in Biomedical Instrumentation and Biomaterials, University of Coimbra, 2009
  • PhD in Technological Physics, University of Coimbra, 2013

Research interests

  • Electronics;
  • Non-invasive sensors for biomedical applications;
  • Data acquisition;
  • Biomedical signal processing;
  • Statistical data analysis;
  • Machine learning.

Media Contributions

Find more about my scientific journey as Marie Curie Fellow at Aston here:


  1. Detecting dynamical changes in vital signs using switching Kalman filter

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Early warnings of heart rate deterioration

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Employable Graduates; Exploitable Research

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