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Health Informatics Laboratory

POSTDOCTORAL RESEARCHERS

Emmanouil Zoulias

ezoulias@nurs.uoa.gr

2107461504

Dr. Emmanouil Zoulias is a member of the Laboratory Teaching Staff of the Health Informatics Laboratory, Public Health Sector, Department of Nursing of the National and Kapodistrian University of Athens, with a field of study “Health Informatics”. He is a graduate of the Department of Electrical and Computer Engineering of the National Technical University of Athens. He holds a Master’s degree in Biomedical Technology from the University of Dundee and a PhD in the scientific area of ​​Artificial Intelligence and Decision Support Systems, with Machine Learning in Health. He has extensive experience in Artificial Intelligence and Machine Learning, and has participated in the design, development and implementation of many IT projects. He has worked for four years as an IT specialist in the Public Health System of Greece, while for ten years he has served at the National Centre for Public Administration and Local Government (EKDDA), two of which as Head of the IT Department. His research focuses mainly on IT and Technologies in Health and Education, with an emphasis on artificial intelligence, data analytics, data mining, IoT technologies, simulation technologies and 3D printing. In addition, he has over 16 years of experience in vocational training, including IT, project management, and process modelling. He has participated in numerous research projects funded by European and national sources, focusing on health and education. At the undergraduate level, he teaches the laboratory courses "Introduction to Health Informatics and Data Management", "Health Informatics", and the theoretical course "Biomedical Informatics and Technology" of the Department of Nursing. At the postgraduate level, he teaches the courses "Analysis of Biomedical Signals and Images" and "Intelligent Decision Making Systems" in the Inter-Institutional Postgraduate Program "Organization and Management of Health Services - Health Informatics" and the course "Electronic Health and Its Applications" in the Postgraduate Programs of the Department of Nursing. He is a postdoctoral candidate in the Department of Nursing on the topic of "Artificial Intelligence in Nursing Education".