Michalis Savelonas is an Associate Professor at the Department of Computer Science and Biomedical Informatics of the University of Thessaly. His research is focused on computer vision, pattern recognition, expert systems and biomedical applications. He received the BSc degree in Physics, the MSc degree in Cybernetics with honors, and the PhD degree in the area of Pattern Recognition and Computer Vision (Dept. of Informatics and Telecommunications) with honors, all from the National and Kapodistrian University of Athens, Greece. For his PhD research, he received a scholarship from the European Union and the Greek General Secretariat of Research and Technology.
In the past, he has served as a postdoctoral researcher in the National and Kapodistrian University of Athens, University of Houston, TX, USA, Athena Research and Innovation Center, Athens University of Economics and Business, University of Thessaly and Democritus University of Thrace. He has also served as adjunct faculty in the National and Kapodistrian University of Athens, Hellenic Air Force Academy and Technological Educational Institute of Lamia/Central Greece. In addition, he has worked as a software engineer in the private sector. Since 2020, he is with the Department of Computer Science and Biomedical Informatics of the University of Thessaly. He is a Senior Member of IEEE (EMBS, SPS).
Prof. Savelonas has co-authored more than 80 scientific articles in peer reviewed international journals, conference proceedings and book chapters. He has been actively involved in more than 10 EU, US and Greek R&D projects. He is a topic editor in Remote Sensing and Sensors, whereas he has served as a reviewer in more than 40 international journals, including IEEE Transactions on Image Processing, Pattern Recognition, IEEE Transactions on Signal Processing, IEEE Transactions on Fuzzy Systems, Medical Image Analysis and Expert Systems with Applications. He has served as an evaluator of research project proposals for the Italian Ministry of Health. His teaching experience spans both undergraduate and postgraduate level, including courses in the broad areas of Pattern Recognition, Computer Vision, Expert Systems and Biomedical Applications.
Michalis Savelonas 