https://papapavi.webpages.auth.gr/
vassilis [at] mug.ee.auth.gr
papapavi [at] ece.auth.gr
+30-2310-996365
vassilis [at] mug.ee.auth.gr
papapavi [at] ece.auth.gr
+30-2310-996365
About
Dr. Vasileios Papapanagiotou was born in Thessaloniki, Greece, in 1989. He graduated from the Department of Electrical and Computer Engineering of the Aristotle University of Thessaloniki in 2013 and received the doctorate diploma from the same department in 2019. Since 2013 he has been working on EU-funded research projects as a research associate and developer. His research interests include behavioral monitoring and analysis, wearable sensors, digital signal processing, and machine learning. He is a member of IEEE, IEEE EMBS, and the Technical Chamber of Greece.
Education
2014 – 2019 Doctorate diploma of Electrical and Computer Engineering
Electrical and Computer Engineering DepartmentAristotle University of Thessaloniki, Greece
Advisors: Prof. Anastasios Delopoulos and Dr. Christos Diou
Thesis: Modeling and automatically measuring human eating behavior
https://ikee.lib.auth.gr/record/309125
2007 – 2013 Diploma of Electrical and Computer Engineering
Electrical and Computer Engineering DepartmentAristotle University of Thessaloniki, Greece
Advisors: Prof. Anastasios Delopoulos and Dr. Christos Diou
Thesis: Semi-supervised classifier training for content-based image retrieval from samples with label uncertainty
https://ikee.lib.auth.gr/record/291631
Teaching Experience
2021 – 2022 Teacher: Biomedical data acquisition and signal processing
MSc in BioMedical Engineering at AUTh (BME-AUTh)Aristotle University of Thessaloniki, Greece
Type: MSc course
2020 – 2021 Teacher: Applications of internet-of-things technologies in health, energy, commerce, and transport
Interdepartmental/Interdisciplinary Postgraduate Programme on Advanced Computer and Communication SystemsDepartment of Electrical and Computer Engineering
Aristotle University of Thessaloniki, Greece
Type: MSc course
2014 – 2019 Teaching Assistant: Multimedia Systems and Virtual Reality
Department of Electrical and Computer EngineeringAristotle University of Thessaloniki, Greece
Type: Undergraduate course
2013 – 2018 Teaching Assistant: Digital Image Processing
Department of Electrical and Computer EngineeringAristotle University of Thessaloniki, Greece
Type: Undergraduate course
Professional Experience
2021 – present Postdoctoral research fellow
REBECCA – REsearch on BrEast Cancer induced chronic conditions supported by Causal Analysis of multi-source data, H2020-965231.Roles: Researcher, work-package leader, developer
2016 – 2020 Research assistant
BigO – Big data against Obesity, H2020-727688.Roles: Researcher, developer
2013 – 2016 Research assistant
SPLENDID – Personalised Guide for Eating and Activity Behaviour for the Prevention of Obesity and Eating Disorders, FP7-610749.Roles: Researcher, developer
Notes: 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.
Reviewer
At various journals and conferences, most notably:
IEEE JBHIIEEE Sensors
IEEE EMBC
MDPI Nutrients
MDPI Foods