Key to post-stroke survival: data and algorithms to improve the quality of life of stroke victims

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System Administrator – Global Computing Group – Networks Data Science Group

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Key to post-stroke survival: data and algorithms to improve the quality of life of stroke victims

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Ricardo Padrino

Ricardo PADRINO

Research Engineer

    • BSc: Electronic Engineering - Universidad Complutense de Madrid. Madrid, Universidad Complutense de Madrid
  • Former position: Electronic Engineer. CSIC. Madrid. Spain
  • Joining date: January 2018
  • Leaving date: October 2020

    Research

    • Deep Learning
    • Computer Vision
    • Automatic Algorithms
    • Autonomous Robot-Vehicles
    • Electronic Design