Carlos Hernández Matas, PhD

Senior Applied Scientist
Computer Vision and Robotics

I am a Senior Applied Scientist at Oivi, a medical devices startup currently focused on making early detection of diabetic retinopathy more accessible and affordable. I own, design and implement a retinal image registration and fusion pipeline for standard and challenging sets of images.

Prior to that, I spent about four and a half years at Aeolus Robotics, where I owned features from specification to delivery and coordinated across teams to ensure agile development. I also performed algorithm development and testing, as well as hardware-software integration, for robot perception, grasping, motion and reactive planning. I have also led tech demos for investors, as well as knowledge transfer workshops for other developers on how to work with the robots. Additionally, I have performed technology scouting duties at international robotic conferences.

During my PhD studies I performed research on retinal image registration and modelling, and before that I worked as a software engineer in Scientific Games and Nokia Siemens Networks


  • Computer Vision
  • Robotics
  • Medical Imaging
  • Artificial Intelligence


  • PhD in Cognitive Vision and Robotics

    University of Crete (Greece)

  • MSc in Systems, Control and Robotics

    KTH Royal Institute of Technology (Sweden)

  • BSc in Telecommunications Engineering

    UPM Technical University of Madrid (Spain)



Oivi (2021 - Now)

Camera facilitating access to immediate diabetic retinopathy screening

Aeolus Robot (2017 - 2021)

Autonomous service robot for assistance in elderly care facilities

REVAMMAD (2013 - 2017)

REtinal Vascular Modelling, Measurement and Diagnosis European Project

Color Blind Simulator (2011 - Now)

Simulator to transform images and videos into the three main types of color blindness

Active 3D Segmentation (2011)

Master thesis focusing on scene segmentation via Kinect

Bumpy Robot (2010)

Maze robot for a university project

Sound Ray Tracer (2008)

Bachelor thesis on calculating sound signals on any point of a room