Christos Diou, Assistant Professor

Basic Information


Office: 3.5, 3rd floor

Phone: +30210 9549449

E-mail: cdiou[at]hua[dot]gr


Research Field: Artificial Intelligence and Machine Learning

Short CV

Christos Diou is an Assistant Professor of Artificial Intelligence and Machine Learning at the Department of Informatics and Telematics, Harokopio University of Athens. He received his Diploma in Electrical and Computer Engineering and his PhD in Analysis of Multimedia with Machine Learning from the Aristotle University of Thessaloniki. He has over 80 publications in international scientific journals and conferences in the areas of Artificial Intelligence and Machine Learning. His recent research interests include the development of robust machine learning algorithms that generalize well, the modeling of uncertainty in machine learning, as well as the development of machine learning models that estimate causal effects from observational data. He has more than 15 years of participation in European and national research projects, while he is the Principal Investigator of projects REBECCA and RELEVIUM which develop applications of artificial intelligence in healthcare.

Indicative Publications

1. Charalampos Davalas, Dimitrios Michail, Christos Diou, Iraklis Varlamis, Konstantinos Tserpes, "A Cloud-based Continual Learning System for Road Sign Classification in Autonomous Driving", CEUR Workshop Proceedings (2023), DOI: None

2. Polychronis Charitidis, Sotirios Moschos, Archontis Pipertzis, Ioakeim James Theologou, Michael Michailidis, Stavros Doropoulos, Christos Diou, Stavros Vologiannidis, "StreetScouting: A Deep Learning Platform for Automatic Detection and Geotagging of Urban Features from Street-Level Images", Applied Sciences (Switzerland) (2023), DOI: 10.3390/app13010266

3. Niki Kiriakidou, Christos Diou, "An evaluation framework for comparing causal inference models", ACM International Conference Proceeding Series (2022), DOI: 10.1145/3549737.3549775

4. Aristotelis Ballas, Christos Diou, "Multi-layer Representation Learning for Robust OOD Image Classification", ACM International Conference Proceeding Series (2022), DOI: 10.1145/3549737.3549780

5. Adele R. Tufford, Christos Diou, Desiree A. Lucassen, Ioannis Ioakimidis, Grace O'Malley, Leonidas Alagialoglou, Evangelia Charmandari, Gerardine Doyle, Konstantinos Filis, Penio Kassari, Tahar Kechadi, Vassilis Kilintzis, Esther Kok, Irini Lekka, Nicos Maglaveras, Ioannis Pagkalos, Vasileios Papapanagiotou, Ioannis Sarafis, Arsalan Shahid, Pieter van ’t Veer, Anastasios Delopoulos, Monica Mars, "Toward Systems Models for Obesity Prevention: A Big Role for Big Data", Current Developments in Nutrition (2022), DOI: 10.1093/cdn/nzac123