Biography
Athanasios Anastasiou received his Bachelor degree in Electrical & Electronic Engineering from the University of Newcastle Upon Tyne, in 2005. In 2006, he received his M.Sc. degree in Digital Signal & Image Processing from the University of Central Lancashire. Likewise, in 2009 he obtained his second M.Sc. degree in Biomedical Engineering held by the University of Patras and the National Technical University of Athens (N.T.U.A.). In 2015 received his Ph.D from the National Technical University of Athens (N.T.U.A.). Since 2011, is member of NTUA’s Biomedical Engineering Laboratory. Since 2024, is a post-doctoral researcher in Harokopio University of Athens with the subject of AI-Enabled Tools and Methodologies for Hospital Transformation. His current research interests comprise bioinformatics, biosignal and image processing, decision support systems, children obesity and technologies for assisted living. He also has experience in integrating wireless technologies in health applications, such as Electronic Health Record Management tools and physical activity recognition using wireless sensors and mobile devices. Last but not least, he has long experience in designing, managing and implementing IT Solutions and Projects, as well as, in developing software products using a number of frameworks, technologies and tools.
Publications
[1] O. Manta, T. Androutsou, A. Anastasiou, Y. Koumpouros, G. Matsopoulos, and D. Koutsouris, “A three-module proposed solution to improve cognitive and social skills of students with attention deficit disorder (ADD) and high functioning autism (HFA): Innovative technological advancements for students with neurodevelopmental disorders,” ACM International Conference Proceeding Series, pp. 514–520, 2020, doi: 10.1145/3389189.3398003.
[2] I. Manolitsis, L. Tzelves, G. Feretzakis, D. Kalles, V. S. Verykios, S. Katsimperis, A. Anastasiou, D. Koutsouris, T. Kosmidis, C. Deliveliotis, A. Papatsoris, and I. Varkarakis, “Acceptance of Artificial Intelligence in Supporting Cancer Patients,” Studies in Health Technology and Informatics, vol. 305, pp. 572–575, 2023, doi: 10.3233/SHTI230561.
[3] S. Pitoglou, A. Filntisi, A. Anastasiou, G. K. Matsopoulos, and D. Koutsouris, “Exploring the Utility of Anonymized EHR Datasets in Machine Learning Experiments in the Context of the MODELHealth Project,” Applied Sciences, vol. 12, no. 12, 2022, doi: 10.3390/app12125942.
[4] A. Vezakis, I. Vezakis, O. Petropoulou, S. T. Miloulis, A. Anastasiou, I. Kakkos, and G. K. Matsopoulos, “Comparative Analysis of Deep Neural Networks for Automated Ulcerative Colitis Severity Assessment,” Bioengineering, vol. 12, no. 4, 2025, doi: 10.3390/bioengineering12040413.
[5] A. Sakagianni, C. Koufopoulou, P. Koufopoulos, G. Feretzakis, A. Anastasiou, N. Theodorakis, and P. Myrianthefs, “Influence of Microbiome Interactions on Antibiotic Resistance Development in the ICU Environment: Insights and Opportunit
