CV

My academic CV. Use the button above to download the PDF version.

Contact Information

Name Olaya Álvarez-Tuñón
Professional Title Computer Vision & Deep Learning Engineer · Postdoctoral Researcher
Email olaya.tunon@gmail.com
Location , , Spain / Denmark

Professional Summary

Computer Vision and Deep Learning Engineer with extensive expertise in visual odometry and Visual SLAM. My research focuses on machine learning and computer vision within robotics, designing optimal architectures grounded in a geometric understanding of deep learning models. As a roboticist I have hands-on experience with both hardware and software, using ROS (1 and 2) and libraries such as behavior trees.

Experience

  • 2024 -

    Copenhagen, Denmark

    Robotics & AI developer, Postdoc
    ITU Copenhagen & EIVA A/S
    IFD Project: Deep visual odometry for underwater intervention drones (DeepODO). Development of a deep-learning-based visual SLAM system to enable autonomous underwater robot localization, training neural networks for accurate, real-time camera-based navigation and overcoming unique underwater vision challenges.
  • 2021 - 2024

    Aarhus, Denmark

    Marie Curie PhD fellow
    Aarhus University & EIVA A/S
    EU Project: Reliable AI for Marine Robotics (REMARO).
    • Teaching: Autonomous Mobile Robots, Deep Learning, Control Systems.
    • Research stay at OceanScan-MST: design of behavior trees for AUV mission planning.
    • Research stay at DFKI: implemented and tested visual SLAM in a testbed with Qualisys ground-truth control.
  • 2015 - 2020

    Madrid, Spain

    Research technician
    RoboticsLab, University Carlos III Madrid
    EU Project: Long Term Stability Assessment and Monitoring of Flooded Shafts (STAMS).
    • Teaching: Industrial Automation, Industrial Robotics.
  • 2013 - 2014

    Avilés, Spain

    Research technician
    R&D Arcelor-Mittal center, Avilés
    Computer Vision for Automated Defect and Dust Detection on Rolled Steel Plates.
  • 2021 -

    Denmark

    Secretary and Aarhus delegate
    Spanish Scientists in Denmark (CED)
  • 2023 - 2023

    Denmark

    Organizer and speaker
    Pint of Science Denmark
    Talk: “AI and the philosophy of seeing: what would Aristotle think about today’s AI?”.
  • 2021 - 2024

    Aarhus, Denmark

    Social activity organizer
    Aarhus University PhD Association (AUPA)

Education

  • 2021 - 2024

    Aarhus, Denmark

    Ph.D. (Marie Curie Scholarship, ETN project REMARO)
    Aarhus University
    Visual-based navigation for underwater safety-critical applications
    • Thesis: Visual-based navigation for underwater-safety critical applications.
  • 2018 - 2019

    Madrid, Spain

    M.Sc.
    University Carlos III Madrid
    Robotics and Automation
    • Thesis: Visual Localization of an Underwater Robot in Flooded Mine Shafts.
  • 2011 - 2015

    Oviedo, Spain

    B.Sc.
    University of Oviedo
    Electronics and Automation Engineering
    • Thesis: Visual Odometry for quadrucopters.

Awards

Skills

Coding (): Python, C++, LaTeX
Tools (): PyTorch, OpenCV, Behavior trees, ROS (1 and 2), ArduPilot, Unreal Engine, Inkscape
Misc. (): Academic research, Writing project proposals, Science dissemination, Teaching, Consultation, Graphic design

Languages

Spanish : Native speaker
English : Fluent

Certificates

  • Deep Learning Specialization - Coursera (2020)

References

  • References

    Available on request.