Anastasia Ioannidou
About Anastasia Ioannidou
Anastasia Ioannidou is a Computer Vision Research Engineer with expertise in image and video processing, object re-detection, and tracking. She has a Bachelor's degree in Applied Informatics and a Master's degree in Digital Media, and has worked at various research institutions and companies in Greece and the United Kingdom.
Work at iProov
Anastasia Ioannidou currently holds the position of Computer Vision Research Engineer at iProov, where she has been employed since 2022. In this role, she focuses on developing advanced computer vision solutions that enhance user authentication and security. Her work involves leveraging her expertise in image and video processing to contribute to innovative projects within the company.
Education and Expertise
Anastasia Ioannidou earned her Bachelor's degree in Applied Informatics from the University of Macedonia, where she studied from 2006 to 2010. She furthered her education by obtaining a Master's degree in Digital Media from Aristotle University of Thessaloniki (AUTH) between 2010 and 2013. Her academic background provides a strong foundation for her expertise in image retrieval, object classification, and recognition.
Background
Anastasia Ioannidou has a diverse professional background in computer vision and machine learning. She began her career as a Research Assistant at the Information Technologies Institute (ITI) in Thessaloniki, Greece, from 2013 to 2017. Following this, she worked as an AI Research Engineer at Aurora-AI in the United Kingdom from 2017 to 2019. She then transitioned to a Data Scientist role at Medicines Discovery Catapult, where she focused on machine learning from 2019 to 2022.
Technical Skills
Anastasia Ioannidou possesses strong technical skills in programming and machine learning frameworks. She is proficient in Python and has experience with Pytorch and Tensorflow, which she utilizes for developing machine learning models. Additionally, she specializes in using Google Cloud Platform for various computer vision projects, enhancing her ability to implement scalable solutions.