Argyro Mavrogiorgou

AffiliationResearch Associate
TitlePostdoctoral Researcher
ExpertiseInternet of Things, Cyber-Physical Systems, Data Collection, Data Analysis, Big Data, Web Technologies

Short CV

Argyro Mavrogiorgou is a Postdoctoral Researcher at the University of Piraeus, Greece (Department of Digital Systems). She received her BSc in Digital Systems in 2013 and MSc in Network-Oriented Systems in 2015, both from the Department of Digital Systems at the University of Piraeus. Since 2019, she holds a PhD from the University of Piraeus (Department of Digital Systems) in the fields of Devices and Data Integration, focusing on Internet of Things heterogeneous devices’ accessibility and management towards the successful data ingestion and integration. Her general research interests rely on the fields of data management across the complete data lifecycle, and hybrid infrastructures including cloud/edge computing environments, Internet of Things, and cyber-physical systems. In this context, she has participated in several relevant EU and National funded projects (e.g. PolicyCLOUD, InteropEHRate, CrowdHEALTH), leading research for addressing issues related to data integration and analysis, as well as data cleaning and reliability, while she has also contributed in the aforementioned fields through multiple International Conference and International Journal publications. Regarding her Academic expertise, she has collaborated as an Academic Associate with the University of West Attica, Greece (Department of Industrial Design and Production Engineering, and Department of Electrical and Electronics Engineering), the National and Kapodistrian University of Athens, Greece (Faculty of Nursing), the National Technical University of Athens, Greece (School of Electrical and Computer Engineering), and the University of Piraeus, Greece (Department of Digital Systems).

Personal Research Topics

Mechanisms for IoT Devices’ Integration

Interoperable plug’n’play mechanisms for both connecting to different IoT platforms and facilitating the automatic recognition, interaction and access to all the underlying heterogeneous IoT devices (of both known and unknown nature).

Data Cleaning Techniques

Techniques for cleaning raw data in real-time deriving from both streaming and non-streaming data sources.

Data and Data Sources Reliability Techniques

Techniques for automatically managing heterogeneous IoT data sources, estimating their levels of reliability, and finally collecting data only from the reliable and relevant ones to each connected platform.

Big Data Management Ecosystems

Tools and techniques for automatically collecting, transforming, storing, processing, and analyzing structured, semi-structured and un-structured Big Data, exploiting diverse ecosystems.

Scientific Publications

Journal Articles

  1. Kiourtis, A., Mavrogiorgou, A., & Kyriazis, D. (2021, March), A Comparative Study of Bluetooth SPP, PAN and GOEP for Efficient Exchange of Healthcare Data, In Emerging Science Journal (ESJ), Ital Publication
  2. Kyriazis. D., et al. (2019, December), The CrowdHEALTH project and the Holistic Health Records: Collective Wisdom Driving Public Health Policies, In Acta Informatica Medica Journal (ACTA), Volume 27, Issue 5, pp. 369-373, Avicena
  3. Perakis, K., Miltiadou, D., De Nigro, A., Torelli, F., Montandon, L., Magdalinou, A., Mavrogiorgou, A., & Kyriazis, D. (2019, December), Data Sources and Gateways: Design and Open Specification, In Acta Informatica Medica Journal (ACTA), Volume 27, Issue 5, pp. 341-347, Avicena
  4. Kiourtis, A., Nifakos, S., Mavrogiorgou, A., & Kyriazis, D. (2019, October), Aggregating the Syntactic and Semantic Similarity of Healthcare Data towards their Transformation to HL7 FHIR through Ontology Matching, In International Journal of Medical Informatics (IJMI), Volume 132, 104002, Elsevier
  5. Mavrogiorgou, A., Kiourtis, A., Perakis, A., Miltiadou, D., Pitsios, S., & Kyriazis, D. (2019, June), Analyzing data and data sources towards a unified approach for ensuring end-to-end data and data sources quality in healthcare 4.0, In Computer Methods and Programs in Biomedicine Journal (JCMPB), Volume 181, 104967, Elsevier
  6. Mavrogiorgou, A., Kiourtis, A., Perakis, K., Pitsios, S., & Kyriazis, D. (2019, April), IoT in Healthcare: Achieving Interoperability of High-Quality Data Acquired by IoT Medical Devices, In Sensors Journal (SENSORS), Volume 19, Issue 9, pp. 1978, MDPI
  7. Mavrogiorgou, A., Kiourtis, A., & Kyriazis, D. (2019, April), A Plug’n’Play Approach for Dynamic Data Acquisition from Heterogeneous IoT Medical Devices of Unknown Nature, In Evolving Systems Journal (EVOS), pp. 1-21, Springer
  8. Mavrogiorgou, A., Kiourtis, A., Touloupou, M., Kapassa, E., & Kyriazis, D. (2019, April), Internet of Medical Things (IoMT): Acquiring and Transforming Data into HL7 FHIR through 5G Network Slicing, In Emerging Science Journal (ESJ), Volume 3, Issue 2, pp. 64-77, Ital Publication
  9. Kiourtis, A., Mavrogiorgou, A., Menychtas, A., Maglogiannis, I., & Kyriazis, D. (2019, February), Structurally Mapping Healthcare Data to HL7 FHIR through Ontology Alignment, In Journal of Medical Systems (JOMS), Volume 43, Issue 3, pp. 62, Springer
  10. Kiourtis, A., Mavrogiorgou, A., Kyriazis, D., Maglogiannis, I., & Themistocleous, M. (2018, December), Exploring the Complete Data Path for Data Interoperability in Cyber-Physical Systems, In International Journal of High Performance Computing and Networking (IJHPCN), Volume 12, Issue 4, pp. 339-349, Inderscience

Conference Articles

  1. Kleftakis, A., et al. (2021, April), Analyzing Collective Knowledge towards Public Health Policy Making, In 17th International Conference on Artificial Intelligence Applications & Innovations (AIAI), Springer
  2. Manias, G., Mavrogiorgou, A., Kiourtis, A., & Kyriazis, D. (2021, April), SemAI: A Novel Approach for Achieving Enhanced Semantic Interoperability in Public Policies, In 17th International Conference on Artificial Intelligence Applications & Innovations (AIAI), Springer
  3. Mavrogiorgou, A., et al. (2021, March), beHEALTHIER: A Microservices Platform for Analyzing and Exploiting Healthcare Data, In 34th IEEE CBMS International Symposium on Computer-Based Medical Systems, IEEE
  4. Kiourtis, A., Mavrogiorgou, A., Kyriazis, D., Torelli, F., Martino, D., & De Nigro, A. (2021, March), Holistic Health Records towards Personalized Healthcare, In 7th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE), Springer
  5. Mavrogiorgou, A., Kiourtis, A., Manias, G., & Kyriazis, D. (2021, March), An Optimized KDD Process for Collecting and Processing Healthcare Data, In 12th International Conference on Information and Communication Systems, IEEE
  6. Mavrogiorgou, A., Kiourtis, A., Manias, G., & Kyriazis, D. (2021, February), Adjustable Data Cleaning towards Extracting Statistical Information, In 31st Medical Informatics Europe Conference (MIE), IOS Press
  7. Kiourtis, A., Mavrogiorgou, A., Symvoulidis, C., Tsigkounis, C., & Kyriazis, D. (2021, February), Indexing of Cloud Stored Electronic Health Records for Consented Third Party Accessing, In 28th Conference of the Open Innovations Association (FRUCT), pp. 158-166, IEEE.
  8. Symvoulidis, C., Mavrogiorgou, A., Kiourtis, A., & Kyriazis, D. (2021, February), Healthcare Provision in the Cloud – An EHR Object Store-based Cloud Used for Emergency, In 14th International Joint Conference on Biomedical Engineering Systems and Technologies (HEALTHINF), pp. 435-442, SciTePress
  9. Kiourtis, A., Mavrogiorgou, A., Menesidou, S.A., Gouvas, P., & Kyriazis, D. (2020, November), A Secure Protocol for Managing and Sharing Personal Healthcare Data, In EFMI 2020 Special Topic Conference (EFMI STC), pp. 92-96, IOS Press
  10. Kiourtis, A., Mavrogiorgou, A., Kyriazis, D., Grazziani, A., & Torelli, F. (2020, October), Improving Health Information Exchange through Wireless Communication Protocols, In 16th International Conference on Wireless and Mobile Computing, Networking and Communications (STWiMob), pp. 32-39, IEEE
  11. Manias, G., Mavrogiorgou, A., Kiourtis, A., & Kyriazis, D. (2020, September), An Evaluation of Neural Machine Translation and Word Embeddings in Multilingual Neural Sentiment Analysis, In International Conference on Progress in Informatics and Computing (PIC), pp. 274-283, IEEE.
  12. Kiourtis, A., Mavrogiorgou, A., Vidakis, K., & Kyriazis, D. (2020, July), Health Record Index: Secure Access of Cloud-stored Healthcare Data, In 18th International Conference on Informatics, Management and Technology in Healthcare (ICIMTH), pp. 221-224, IOS Press
  13. Vidakis, K., Mavrogiorgou, A., Kiourtis, A., & Kyriazis, D. (2020, June), A Comparative Study of Short-Range Wireless Communication Technologies for Health Information Exchange, In 2nd International Conference on Electrical, Communication and Computer Engineering (ICECCE), pp. 1-6, IEEE
  14. Kyriazis et al. (2020, June), PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management, In 16th International Conference on Artificial Intelligence Applications and Innovations (AIAI), pp. 141-150, Springer
  15. Mavrogiorgou, A., et al. (2020, May), CrowdHEALTH: An eHealth Big Data Driven Platform towards Public Health Policies, In 6th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE), pp. 241-249, SciTePress
  16. Kiourtis, A., Mavrogiorgou, A., & Kyriazis, D. (2020, May), A Semantic Similarity Evaluation for Healthcare Ontologies Matching to HL7 FHIR Resources, In 30th Medical Informatics Europe Conference (MIE), pp. 13-17, IOS Press
  17. Mavrogiorgou, A., Kiourtis, A., & Kyriazis, D. (2019, November), Delivering Reliability of Data Sources in IoT Healthcare Ecosystems, In 25th Conference of Open Innovations Association (FRUCT), pp. 211-219, IEEE
  18. Kapassa, E., Touloupou, M., Mavrogiorgou, A., Kiourtis, A., Giannouli, D., Katsigianni, K., & Kyriazis, D (2019, October), An Innovative eHealth System Powered By 5G Network Slicing, In 6th International Conference on Internet of Things Systems, Management and Security (IoTSMS), pp. 7-12, IEEE
  19. Mavrogiorgou, A., Kiourtis, A., & Kyriazis, D. (2019, July), IoT Devices Recognition through Object Detection and Classification Techniques, In 3rd International Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), pp. 12-20, IEEE
  20. Mavrogiorgou, A., Kiourtis, A., Touloupou, M., & Kyriazis, D. (2019, July), Identification of Bluetooth-Enabled IoT Devices Through Syntactic Similarity Techniques, In 11th International Conference on Ubiquitous and Future Networks (ICUFN), pp. 200-205, IEEE.
  21. Kiourtis, A., Mavrogiorgou, A., Nifakos, S., & Kyriazis, D. (2019, July), A String Similarity Evaluation for Healthcare Ontologies Alignment to HL7 FHIR Resources, In 7th Science and Information Conference (SAI), pp. 956-970, Springer
  22. Touloupou, M., Kapassa, E., Mavrogiorgou, A., & Kyriazis, D. (2019, June), Towards Optimized Verification and Validation of 5G Services, In 6th IEEE International Conference on Software Defined Systems (SDS), pp. 5-10, IEEE
  23. Kiourtis, A., Mavrogiorgou, A., & Kyriazis, D. (2019, February), Constructing Healthcare Ontologies of any Data Format, In 11th International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED), pp. 43-48, IARIA XPS Press
  24. Mavrogiorgou, A., Kiourtis, A., & Kyriazis, D. (2018, November), Identification of medical IoT devices APIs through ontology mapping techniques, In 5th EAI International Conference on IoT Technologies for HealthCare (HealthyIoT), pp. 39-54, Springer
  25. Mavrogiorgou, A., Kiourtis, A., Symvoulidis, C., & Kyriazis, D. (2018, October), Capturing the Reliability of Unknown Devices in the IoT World, In 5th International Conference on Internet of Things Systems, Management and Security (IoTSMS), pp. 62-69, IEEE
  26. Mavrogiorgou, A., Kiourtis, A., Touloupou, M., Kapassa, E., Kyriazis, D., & Themistocleous, M. (2018, October), The road to the future of Healthcare: Transmitting interoperable healthcare data through a 5G based communication platform, In 15th European, Mediterranean, and Middle Eastern Conference on Information Systems (EMCIS), pp. 383-401, Springer
  27. Kiourtis, A., Mavrogiorgou, A., & Kyriazis, D. (2018, September), FHIR Ontology Mapper (FOM)-Aggregating Structural and Semantic Similarities of Ontologies towards their Alignment to HL7 FHIR, In 20th IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM), pp. 1-7, IEEE
  28. Kiourtis, A., Mavrogiorgou, A., & Kyriazis, D. (2018, August), Towards a Secure Semantic Knowledge of Healthcare Data through Structural Ontological Transformations. In 12th Joint Conference on Knowledge-Based Software Engineering (JCKBSE), pp. 178-188, Springer
  29. Kiourtis, A., Mavrogiorgou, A., & Kyriazis, D. (2018, July), Matching Ontologies to HL7 FHIR towards their syntactic and semantic similarity, In 15th International Conference on Informatics, Management and Technology in Healthcare (ICIMTH), pp. 51-54, IOS Press
  30. Mavrogiorgou, A., Kiourtis, A., & Kyriazis, D. (2018, May), A Generic Approach for Capturing Reliability in Medical Cyber-Physical Systems, In 14th International Conference on Artificial Intelligence Applications and Innovations (AIAI), pp. 250-262, Springer
  31. Kapassa, E., Touloupou, M., Mavrogiorgou, A., & Kyriazis, D. (2018, February), 5G & SLAs: Automated proposition and management of agreements towards QoS enforcement, In 21st Conference on Innovation in Clouds, Internet and Networks (ICIN), pp. 1-5, IEEE
  32. Kiourtis, A., Mavrogiorgou, A., & Kyriazis, D. (2017, October), Gaining the Semantic Knowledge of Healthcare Data through Syntactic Models Transformations, In 1st International Symposium on Computer Science and Intelligent Controls (ISCSIC), pp. 102-107, IEEE
  33. Mavrogiorgou, A., Kiourtis, A., & Kyriazis, D. (2017, September), A Comparative Study of Classification Techniques for Managing IoT Devices of Common Specifications, In 14th International Conference on the Economics of Grids, Clouds, Systems, and Services (GECON), pp. 67-77, Springer
  34. Mavrogiorgou, A., Kiourtis, A., Kyriazis, D., & Themistocleous, M. (2017, September), A Comparative Study in Data Mining: Clustering and Classification Capabilities, In 14th European, Mediterranean, and Middle Eastern Conference on Information Systems (EMCIS), pp. 82-96, Springer
  35. Kiourtis, A., Mavrogiorgou, A., Kyriazis, D., & Themistocleous, M. (2017, September), Acquiring the Ontological Representation of Healthcare Data Through Metamodeling Techniques, In 14th European, Mediterranean, and Middle Eastern Conference on Information Systems (EMCIS), pp. 324-336, Springer
  36. Mavrogiorgou, A., Kiourtis, A., & Kyriazis, D. (2017, July), Plug‘n’play IoT devices: An approach for dynamic data acquisition from unknown heterogeneous devices, In 11th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS), pp. 885-895, Springer
  37. Kyriazis et al. (2017, July), CrowdHEALTH: Holistic Health Records & Big Data Analytics for Health Policy Making and Personalized Health, In 15th International Conference on Informatics, Management and Technology in Healthcare (ICIMTH), pp. 19-23, IOS Press
  38. Kiourtis, A., Mavrogiorgou, A., & Kyriazis, D. (2017, June), Aggregating Heterogeneous Health Data through an Ontological Common Health Language, In 10th International Conference on Developments in eSystems Engineering (DeSE), pp. 175-181, IEEE
  39. Kiourtis, A., Mavrogiorgou, A., Kyriazis, D., Maglogiannis, I., & Themistocleous, M. (2016, March), Towards Data Interoperability: Turning Domain Specific Knowledge to Agnostic across the Data Lifecycle, In 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 109-114, IEEE

Book Chapters

1.Kiourtis, A., Mavrogiorgou, A., & Kyriazis, D. (2021, January), Diving into the concepts of Data Mining and Clustering, Encyclopedia of Law and Data Science