George Marinos

AffiliationResearch Associate
TitlePostgraduate Researcher
ExpertiseExplainable AI, Visual Analytics, Survival Analysis

Short CV

George Marinos is a Research Associate member of Dac-Lab who has graduated from the University of Piraeus. He holds an BsC from Statistics & Insurance department and a MsC title in Big Data & Analytics from the Digital Systems department of the University of Piraeus. He has been a member of Dac-Lab since September of 2019 and he has been already involved in two European research projects 1) Infinitech & 2) iHelp. His research interests are Survival analysis, Unsupervised learning for risk stratification, Explainability and Visual Analytics.

Personal Research Topics

Survival analysis methods for risk stratification

Study the various existing methods in the literature which have been proposed for risk groups identification not only based on the different features in a dataset but also the lifetime duration of a subject in the dataset

Explainable AI & Visual Analytics

Study the problem of making complex deep learning algorithms transparent and more usable. Study the flaws and limitations of the existing explainability methods. Final goal is the desing and implementation of a novel explainability framework which will allow for explainability, fairness, and bias avoidance. Visual analytics is a key point in the human computer interaction and will be utilized in the aformentioned approach.

Research Projects

Scientific Publications

Journal Articles

  1. Symvoulidis, C., Marinos, G., Kiourtis, A., Mavrogiorgou, A., & Kyriazis, D. (2022). HealthFetch: An Influence-Based, Context-Aware Prefetch Scheme in Citizen-Centered Health Storage Clouds. Future Internet, 14(4), 112.

Conference Articles

  1. Manias, G., Den Akker, H. O., Azqueta, A., Burgos, D., Capocchiano, N. D., Crespo, B. L., … & Wajid, U. (2021, September). iHELP: Personalised Health Monitoring and Decision Support Based on Artificial Intelligence and Holistic Health Records. In 2021 IEEE Symposium on Computers and Communications (ISCC) (pp. 1-8). IEEE.
  2. Marinos, G., & Kyriazis, D. (2021). A Survey of Survival Analysis Techniques. Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies.
  3. Marinos, G., Symvoulidis, C., & Kyriazis, D. (2021, December). MICSurv: Medical Image Clustering for Survival risk group identification. In 2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART) (pp. 1-4). IEEE.
  4. Symvoulidis C., Mavrogiorgou A., Kiourtis A., Marinos G., & Dimosthenis Kyriazis (2021), Facilitating Health Information Exchange in Medical Emergencies, In 2021 International Conference on e-Health and Bioengineering (EHB), IEEE.