Luís Serrador

PHD Candidate at Escola de Engenharia da Universidade do Minho
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Contact Information
us****@****om
(386) 825-5501
Location
Braga, Braga, Portugal, PT
Languages
  • Portuguese Native or bilingual proficiency
  • English -

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Credentials

  • Advanced Learning Algorithms
    Coursera
    Oct, 2022
    - Nov, 2024
  • Convolutional Neural Networks
    Coursera
    Oct, 2022
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    Coursera
    Oct, 2022
    - Nov, 2024
  • Machine Learning Specialization
    Coursera
    Oct, 2022
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    Oct, 2022
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera
    Oct, 2022
    - Nov, 2024
  • Supervised Machine Learning: Regression and Classification
    Coursera
    Oct, 2022
    - Nov, 2024
  • Unsupervised Learning, Recommenders, Reinforcement Learning
    Coursera
    Oct, 2022
    - Nov, 2024

Experience

    • Portugal
    • Higher Education
    • 1 - 100 Employee
    • PHD Candidate
      • Feb 2019 - Present

      Responsible for the development of a system to monitor the changes of the spine during surgeries providing real-time feedback on spinal balance parameters without the use of radiation. Also, reviewer for the Medical & Biological Engineering & Computing Journal. Major accomplishments: • Automatic individual vertebrae segmentation on CT through ML algorithms • Application of knowledge distillation on the problem of individual vertebrae segmentation • Automatic calculation of vertebral endplates through ML algorithms • Intraoperative software for spinal changes tracking • Clinical decision support system for spine surgeries Show less

    • Portugal
    • Higher Education
    • 700 & Above Employee
    • Researcher
      • Apr 2018 - Sep 2018

      Working as researcher joining the QVida+ project. Responsible to collect physical, behavioral and environmental data from patients to be later used on Machine Learning algorithms to predict the quality of life of those patients. Working as researcher joining the QVida+ project. Responsible to collect physical, behavioral and environmental data from patients to be later used on Machine Learning algorithms to predict the quality of life of those patients.

    • Italy
    • Research Services
    • 700 & Above Employee
    • Academic Researcher
      • Sep 2016 - Nov 2017

      During my MSc degree I had the oportunity to join the Medical Robotics Section of the Neuroengineering and Medical Robotics Laboratory. Here I was introduced to the field of surgical robotics with the aim to develop an intraoperative system to turn trochleoplasty a computer-assisted surgery. Major accomplishments: • Surgical robotics basics • Software for preoperative planning of trochleoplasty • Optical tracking system for image-guided trochleoplasty During my MSc degree I had the oportunity to join the Medical Robotics Section of the Neuroengineering and Medical Robotics Laboratory. Here I was introduced to the field of surgical robotics with the aim to develop an intraoperative system to turn trochleoplasty a computer-assisted surgery. Major accomplishments: • Surgical robotics basics • Software for preoperative planning of trochleoplasty • Optical tracking system for image-guided trochleoplasty

Education

  • Universidade do Minho
    Doctor of Philosophy - PhD, Biomedical/Medical Engineering | Machine Learning
    2019 - 2023
  • Universidade do Minho
    Master's degree, Biomedical/Medical Engineering
    2012 - 2017
  • Politecnico di Milano
    Master's degree, Robotics Technology/Technician
    2016 - 2017

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