Publications
Selected Journal Papers
• [J06] C. Symvoulidis, A. Kiourtis, G. Marinos. J. D. Totow Tom-Ata, G. Manias, A. Mavrogiorgou, D. Kyriazis, 2023, "A User Mobility-based Data Placement Strategy in a Hybrid Cloud/Edge Environment using a Causal-aware Deep Learning Network", IEEE Transactions on Computers, IEEE. [Link]
• [J05] G. Manias, A. Mavrogiorgou, A. Kiourtis, C. Symvoulidis, D. Kyriazis, 2023, "Multilingual text categorization and sentiment analysis: a comparative analysis of the utilization of multilingual approaches for classifying twitter data", Neural Computing and Applications, Springer International Publishing. [Link]
• [J04] A. Mavrogiorgou, A. Kiourtis, G. Manias, C. Symvoulidis, D. Kyriazis, 2023, "Batch and Streaming Data Ingestion towards Creating Holistic Health Records", Emerging Science Journal, Ital Publication. [Link]
• [J03] A. Kiourtis, A. Giannetsos, S. A. Menesidou, A. Mavrogiorgou, C. Symvoulidis, A. Graziani, S. Kleftakis, K. Mavrogiorgos, N. Zafeiropoulos, C. A. Gkolias, D. Kyriazis, 2023, "Identity management standards: A literature review", Computer and Informatics, DergiPark Akademik. [Link]
• [J02] I. Lazic, F. Agullo, S. Ausso, B. Alves, C. Barelle, J. L. Berral, P. Bizopoulos, O. Bunduc, I. Chouvarda, D. Dominguez, D. Filos, A. Gutierrez-Torre, I. Hesso, N. Jakovljević, R. Kayyali, M. Kogut-Czarkowska, A. Kosvyra, A. Lalas, M. Lavdaniti, T. Loncar-Turukalo, S. Martinez-Alabart, N. Michas, S. Nabhani-Gebara, A. Raptopoulos, Y. Roussakis, E. Stalika, C. Symvoulidis, O. Tsave, K. Votis, A. Charalambous, 2022, "The holistic perspective of the INCISIVE project—artificial intelligence in screening mammography", Applied Sciences, MDPI. [Link]
• [J01] C. Symvoulidis, G. Marinos, A. Kiourtis, A. Mavrogiorgou, D. Kyriazis, 2022, "HealthFetch: An Influence-Based, Context-Aware Prefetch Scheme in Citizen-Centered Health Storage Clouds", Future Internet, MDPI. [Link]
Selected Conference Papers
• [C20] C. Sardianos, C. Symvoulidis, M. Schloegl, I. Varlamis, G. T. Papadopoulos, 2024, "Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study", In 2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE 2024) (pp. 1-7), IEEE. [Link]
• [C19] C. Symvoulidis, E. Paraskevoulakou, A. Kiourtis, A. Mavrogiorgou, D. Kyriazis, 2024, "Dynamic Resource Allocation on the Edge: A Causal and Contextually-Aware Machine Learning Approach", In 2024 10th Intelligent Systems Conference (IntelliSys 2024) (pp. 300-313), Springer International Publishing. [Link]
• [C18] [BEST PAPER AWARD] E. Paraskevoulakou, J. D. Totow Tom-Ata, C. Symvoulidis, D. Kyriazis, 2024, "Enhancing Cloud-Based Application Component Placement with AI-Driven Operations", In 2024 14th IEEE Annual Computing and Communication Workshop and Conference (CCWC 2024) (pp. 687-694), IEEE. [Link]
• [C17] [BEST PAPER AWARD] C. Symvoulidis, A. Kiourtis, A. Mavrogiorgou, J. D. Totow Tom-Ata, G. Manias, D. Kyriazis, 2023, "Dynamic Deployment Prediction and Configuration in Hybrid Cloud / Edge Computing Environments using Influence-Based Learning", In 2023 10th IEEE International Conference on Electrical Engineering, Computer Science and Informatics (EECSI 2023) (pp. 315-320), IEEE. [Link]
• [C16] J. D. Totow Tom-Ata, K. Kritikos, M. A. Di Girolamo, E. Paraskevoulakou, C. Symvoulidis, D. Kyriazis, 2023, "Polymorphic Cloud Application Design Assisted by Open Source Software Classification", In 2023 5th International Communication Engineering and Cloud Computing Conference (CECCC 2023) (pp. 35-42), IEEE. [Link]
• [C15] A. Kiourtis, A. Mavrogiorgou, G. Makridis, C. Symvoulidis, K. Mavrogiorgos, D. Kyriazis, 2023, "A Practical Guide to Green Computing for Manufacturers, Businesses, and Individuals", In 2023 34th Conference of Open Innovations Association (FRUCT 2023) (pp. 245-251). [Link]
• [C14] G. Marinos, C. Symvoulidis, D. Kyriazis, 2022, "K-Medoids-Surv: A Patients Risk Stratification Algorithm Considering Censored Data", In 2022 21st International Conference on Artificial Intelligence and Soft Computing (ICAISC 2022) (pp.127-140), Springer International Publishing. [Link]
• [C13] A. Kiourtis, A. Mavrogiorgou, K. Mavrogiorgos, D. Kyriazis, A. Graziani, C. Symvoulidis, G. Bella, S. Bocca, F. Torelli, 2022, "Electronic Health Records at People’s Hands Across Europe: The InteropEHRate Protocols". In 2022 19th International Conference on Wearable Micro and Nano Technologies for Personalized Health (pHealth 2022) (pp. 145-150). IOS Press. [Link]
• [C12] S. Dimopoulou, C. Symvoulidis, K. Koutsoukos, A. Kiourtis, A. Mavrogiorgou, D. Kyriazis, 2022, "Mobile Anonymization and Pseudonymization of Structured Health Data for Research", In 2022 7th IEEE International Conference On Mobile And Secure Services (MOBISECSERV 2022) (pp. 1-6), IEEE. [Link]
• [C11] K. Koutsoukos, C. Symvoulidis, A. Kiourtis, A. Mavrogiorgou, S. Dimopoulou, D. Kyriazis, 2022, "Emergency Health Protocols Supporting Health Data Exchange, Cloud Storage, and Indexing", In 2022 15th International Conference on Health Informatics (HEALTHINF 2022) (pp. 597-604), SCITEPRESS. [Link]
• [C10] G. Marinos, C. Symvoulidis, D. Kyriazis, 2021, "MICSurv: Medical Image Clustering for Survival risk group identification", In 2021 4th IEEE International Conference on Bio-Engineering for Smart Technologies (BioSMART 2021) (pp. 1-4), IEEE. [Link]
• [C09] A. Kiourtis, A. Graziani, A. Mavrogiorgou, C. Symvoulidis, K. Mavrogiorgos, D. Kyriazis, 2021, "A Health Information Exchange Protocol Supporting Bluetooth-based Messages", In 2021 IEEE International Conference on Information Systems and Advanced Technologies (ICISAT 2021) (pp. 1-6), IEEE. [Link]
• [C08] C. Symvoulidis, A. Mavrogiorgou, A. Kiourtis, G. Marinos, D. Kyriazis, 2021, "Facilitating Health Information Exchange in Medical Emergencies", In 2021 9th IEEE International Conference on e-Health and Bioengineering (EHB 2021) (pp. 1-4), IEEE. [Link]
• [C07] C. Symvoulidis, A. Kiourtis, A. Mavrogiorgou, D. Kyriazis, 2021, "Healthcare Provision in the Cloud: An EHR Object Store-based Cloud Used for Emergency", In 2021 14th International Conference on Health Informatics (HEALTHINF 2021) (pp. 435-442), SCITEPRESS. [Link]
• [C06] A. Kiourtis, A. Mavrogiorgou, C. Symvoulidis, C. Tsigkounis,D. Kyriazis, 2021, "Indexing of Cloud Stored Electronic Health Records for Consented Third Party Accessing", In 2021 28th Conference of the Open Innovations Association (FRUCT 2021) (pp. 158-166), IEEE. [Link]
• [C05] I. Tsoumas, C. Symvoulidis, D. Kyriazis, D., 2021, "Learning a generalized matrix from multi-graphs topologies towards microservices recommendations", In 2020 6th Intelligent Systems Conference (IntelliSys 2020) (pp. 693-702), Springer International Publishing. [Link]
• [C04] I. Tsoumas, C. Symvoulidis, D. Kyriazis, P. Gouvas, A. Zafeiropoulos, J. Melian, J. Sterle, 2019, "Modelling 5G Cloud-Native Applications by Exploiting the Service Mesh Paradigm", In 2019 European, Mediterranean, and Middle Eastern Conference on Information Systems (EMCIS 2019) (pp. 151-162), Springer International Publishing. [Link]
• [C03] C. Symvoulidis, I. Tsoumas, D. Kyriazis, 2019, "Towards the identification of context in 5G infrastructures, In SAI Computing Conference (pp. 406-418), Springer International Publishing. [Link]
• [C02] M. Touloupou, E. Kapassa, C. Symvoulidis, P. Stavrianos, D. Kyriazis, 2019, "An integrated SLA management framework in a 5G environment", In 2019 22nd IEEE Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) (pp. 233-235), IEEE. [Link]
• [C01] A. Mavrogiorgou, A. Kiourtis, C. Symvoulidis, D. Kyriazis, 2018, "Capturing the reliability of unknown devices in the IoT world", In 2018 5th IEEE International Conference on Internet of Things: Systems, Management and Security (pp. 62-69), IEEE. [Link]
Skills and Interests
• Interests: Travelling, Music, Mountain Biking, Distance Running, Trail Running, CrossFit, Movies, Gaming.
• Programming Languages: Python, Java, Java for Android, C, R.
• Machine Learning: TensorFlow, Keras, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn.
• Web Development: Flask, FastAPI, Streamlit, Spring, JSON, XML, JWT, RESTful APIs, Postman.
• Databases: MySQL, MongoDB, MariaDB, MS SQL Server, MinIO.
• Big Data: Hadoop, Spark, Kafka, Flink.
• Cloud Computing: Docker, Docker Compose, Prometheus, Grafana.
• Paper writing: LaTeX, Microsoft Word.
• Operating Systems: Linux (Ubuntu, Debian, CentOS), Mac, Windows.
• Office: Microsoft Office, LibreOffice, Google Docs.
• Project Management: Azure DevOps, Trello.
• Version Control: Git, GitHub, GitLab.
• IDEs: PyCharm, VS Code.
• Languages: Greek (native), English (fluent), German (basic).