Vasileios Papapanagiotou

vassilis [at] mug.ee.auth.gr

+30-2310-996365

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About

Vasileios Papapanagiotou is a PhD student in the Multimedia Understanding Group (MUG) of the Information Processing Laboratory (IPL), Department of Electrical and Computers Engineering, Aristotle University of Thessaloniki (AUTh). He received his diploma from the same Department in 2013. His research interests are digital signal processing, wearable sensors, behavioural monitoring and analysis, supervised and semi-supervised machine learning, and concept-based image retrieval

Education

2014-today – PhD candidate, Aristotle University of Thessaloniki, Greece

Thesis: Signal processing of multiple wearable sensors for behavioural analysis related to eating disorders and obesity.

2013 – Diploma of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Greece

Thesis: Semi-supervised classifier training for content-based image retrieval from samples with label uncertainty Grade: 7.17/10.

Teaching Experience

2013-2016 – Teaching Assistant, Department of Electrical and Computer Engineering / Aristotle University of Thessaloniki, Greece

Course: Multimedia Systems and Virtual Reality.

2013-2017 – Teaching Assistant, Department of Electrical and Computer Engineering / Aristotle University of Thessaloniki, Greece

Course: Digital Image Processing.

Professional Experience

2013-2017 – Research associate, Aristotle University of Thessaloniki, Greece

Projects:
BigO – Big data against Obesity, H2020-727688.
SPLENDID – Personalised Guide for Eating and Activity Behaviour for the Prevention of Obesity and Eating Disorders, FP7-610749. Developed algorithms that processing raw signal captured by the SPLENDID system’s sensors, in particular (a) an audio sensor, (b) a photoplethysmography sensor, (c) a triaxial accelerometry sensor, and (d) the Mandometer. The algorithms detect eating/snacking sessions in free-living conditions, as well as eating patterns during a mandometer-meal session. Furthermore, the final versions of the algorithms were implemented for the Android operating system.

Memberships

Member of IEEE and the IEEE EMBS

Member of the Technical Chamber of Greece (TEE)

Publications

You can find Papapanagiotou’s publications here