Dimitrios Michail, Associate Professor

Basic Information


Office: 5.5, 5th floor

Phone: +30210 9549411

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

Webpage: https://d-michail.github.io/

Research Field: Algorithms and Programming

Short CV

Dimitrios Michail is an Associate Professor in the Department of Computer Science and Telecommunications at Harokopio University. He received his Diploma in Electronic Engineering and Computer Engineering from the Polytechnic University of Crete. Subsequently, he obtained a Masters Degree in Computer Science and a Ph.D. in Algorithms from the Max-Planck Institute for Computer Science in Germany. He has served as a postdoctoral researcher at the Max-Planck Institute for Computer Science and the INRIA Institute in Sophia-Antipolis, France.His research focuses on the development of algorithms for modern computational models. Typically, he deals with topics such as graph algorithm development, knowledge discovery with an emphasis on graphs, and machine learning. Recently, he has been active in areas related to the use of machine learning in computer vision problems in the field of teleobservation. He has participated as a researcher in various European research and development programs, including TELEIOS, Fortissimo, AfarCloud, TEACHING, and DeepCube.

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. Ioannis Papoutsis, Nikolaos Ioannis Bountos, Angelos Zavras, Dimitrios Michail, Christos Tryfonopoulos, "Benchmarking and scaling of deep learning models for land cover image classification", ISPRS Journal of Photogrammetry and Remote Sensing (2023), DOI: 10.1016/j.isprsjprs.2022.11.012

3. Dimitrios Michail, Nikos Kanakaris, Iraklis Varlamis, "Detection of fake news campaigns using graph convolutional networks", International Journal of Information Management Data Insights (2022), DOI: 10.1016/j.jjimei.2022.100104

4. Iraklis Varlamis, Dimitrios Michail, Foteini Glykou, Panagiotis Tsantilas, "A Survey on the Use of Graph Convolutional Networks for Combating Fake News", Future Internet (2022), DOI: 10.3390/fi14030070

5. Nikolaos Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Andreas Karavias, Panagiotis Elias, Isaak Parcharidis, "Hephaestus: A large scale multitask dataset towards InSAR understanding", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (2022), DOI: 10.1109/CVPRW56347.2022.00151