OUR PARTNER

Aristotle University of Thessaloniki (AUTH)

CEIDSS is a non-profit Research Organization working in health promotion focused on the social determinants of health. Its mission is to produce innovative intervention research to improve the health status of the population, with an emphasis education on health determinants and risk factors linked with non-communicable diseases.

CEIDSS works in association with local and national authorities. While participating in European projects, CEIDSS has a strong experience in developing national and international comprehensive programs on tackling malnutrition, aligned with health strategies and priorities.

The Aristotle University of Thessaloniki (AUTH) is the Greek largest university, founded in 1925 and comprising of 12 faculties and 42 schools. The university has an enrollment of 81,500 students, covering multidisciplinary scientific fields. The teaching and research staff numbers more than 2,700 people. The main university campus is close to the center of Thessaloniki and covers over 23 hectares. AUTH will be represented by the Multimedia Understanding Group with a long record of collaboration in EU projects.

ALL MEMBERS

The team members

Anastasios Delopoulos

Dr. Anastasios Delopoulos earned his Ph.D. from NTUA in 1993 and has been a professor at the Aristotle University of Thessaloniki’s Electrical and Computer Engineering Department since 2001. Leading the Information Processing Lab since 2020, his specialties include Machine Learning, Signal and Image Processing, and Computer Vision. His research applies these to health informatics, biomedical engineering, and human behavior modeling using signals from mobile and wearable sensors. He has contributed to various European and National R&D projects across multiple sectors.

Ioannis Sarafis

Ioannis Sarafis earned his PhD in 2018 from the Department of Electrical and Computer Engineering at Aristotle University of Thessaloniki (AUTH), Greece, specializing in machine learning. He currently serves as the Technical Manager of the EU-funded REBECCA project, overseeing its scientific and technical aspects. Previously, Ioannis worked as a research associate and postdoctoral researcher on various EU-funded projects. His research focuses on machine learning and data analysis with noisy or incomplete labels.

Alexandros Papadopoulos

Alexandros Papadopoulos obtained his PhD in 2022 from the Department of Electrical and Computer Engineering at Aristotle University of Thessaloniki. His thesis focused on “Machine Learning from Weakly-Labeled and Sparsely Positive Data”. Currently, he works as a postdoctoral researcher on EU-funded projects. His research interests include machine learning from sensitive and noisy data and semi-supervised learning techniques.

Leonidas Alagialoglou

Leonidas Alagialoglou has a diploma in Electrical and Computer Engineering and an MSc in Sustainable Agriculture from Aristotle University of Thessaloniki (AUTH). He is a PhD candidate and member of the Multimedia Understanding Group (MUG) since October 2019, also working as a research associate on EU-funded projects. His research interests center on reliability tasks in machine learning, including calibrated uncertainty quantification, robust generalization, and domain adaptation, especially in environmental and urban contexts.

Chrysa Episkopou

Chrysa Episkopou graduated from Aristotle University of Thessaloniki’s Department of Electrical and Computer Engineering in 2023. She is currently a researcher at MUG AUTH, starting her PhD on federated self-supervised learning on wearable devices. Her research interests include signal and image processing, multimedia, machine learning, and information theory.

Stella Kainourgiaki

Stella Kainourgiaki holds a bachelor’s degree and an MSc in Applied Informatics from the University of Macedonia. She has been a member of the Multimedia Understanding Group (MUG) since 2021, primarily handling administrative and financial matters. Her work focuses on coordinating and managing finances for European and National R&D programs.