Alexandros Papadopoulos

alpapado [at] mug.ee.auth.gr +30-2310-996365

About

Alexandros Papadopoulos received his diploma in 2016 from the Department of Electrical and Computer Engineering of Aristotle University of Thessaloniki. Currently, he is pursuing his Phd in the same department as a member of the Multimedia Understanding Group (MUG) and working as a research associate in the EU-funded i-PROGNOSIS and BigO projects. His research interests include machine learning from sensitive and noisy data as well as semi-supervised learning techniques.

Education

2016-today – PhD candidate, Aristotle University of Thessaloniki, Greece

Thesis: “Machine Learning on noisy, uncertain and sensitive big data”.

2016 – Diploma of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Greece

Thesis: “Food image recognition”. Grade: 8.09/10.

Professional Experience

2016-2019 – Research associate, Aristotle University of Thessaloniki, Greece

Project: i-PROGNOSIS

2013-2015 – Web Developer , IT Center, Aristotle University of Thessaloniki, Greece

2012-2013 – Developer in Computer Vision Group, Pandora Robotics Team

Memberships

Member of IEEE

Member of the Technical Chamber of Greece (TEE)

Publications

You can find Alexandros’ publications here