Savelonas Michalis

msavelonas@uth.gr
+30 22310 66920

https://msavelonas.com/

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Contact with students:

Tuesday 13:00-15:00 & Wednesday 12:00-14:00

Savelonas Michalis

Associate Professor

Expert Systems and Hybrid Knowledge Representation

Research Interests

Computer Vision, Pattern Recognition, Expert Systems, Biomedical Applications

Curriculum vitae

Michalis Savelonas received the BSc degree in Physics (1998), the MSc degree in Cybernetics with honors (2001), and the PhD degree in the area of Image Analysis with honors (2008), 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. His research is focused on computer vision, pattern recognition, expert systems and biomedical applications. 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. He has also worked as a software engineer in the private sector (2002-2004). He is a Senior Member of IEEE (SPS, EMBS). Since 2020, he is with the Department of Computer Science and Biomedical Informatics of the University of Thessaly. 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 research projects. He has served as an evaluator of research project proposals for the Italian Ministry of Health. 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. His teaching experience spans both undergraduate and postgraduate level, including courses in the broad areas of Pattern Recognition, Computer Vision and Biomedical Applications.

Courses

Selected Publications

  • D.-C.C. Koutsiou, M.A. Savelonas, D.K. Iakovidis, “TransLevelSet: Integrating Vision Transformers with Level-sets for Medical Image Segmentation. Neurocomputing vol. 599, 128077, 2024.
  • M.A. Savelonas, I. Pratikakis, T. Theoharis, G. Thanellas, F. Abad, R. Bendahan, “Spatially Sensitive Statistical Shape Analysis for Pedestrian Recognition from LIDAR Data,” Computer Vision and Image Understanding, vol. 171, pp. 1-9, Elsevier Science, 2018.
  • M.A. Savelonas, I. Pratikakis, K. Sfikas, “Fisher Encoding of Differential Fast Point Feature Histograms for Partial 3D Object Retrieval,” Pattern Recognition, vol. 55, pp. 114-124, Elsevier Science, 2016.
  • P. Kulkarni, E. Burton, M. Savelonas, R. Padmanabhan, Y. Lu, K. Trett, W. Shain, L. Leasure, B. Roysam, “Quantitative 3-D Analysis of GFAP Labeled Astrocytes from Fluorescence Confocal Images,” Journal of Neuroscience Methods, vol. 246, pp. 38-51, Elsevier Science, 2015.
  • E.A. Mylona, M.A. Savelonas, D. Maroulis, “Automated Adjustment of Region-based Active Contour Parameters using Local Image Geometry,” IEEE Transactions on Cybernetics, vol. 44, no. 12, pp. 2757-2770, 2014.
  • M.A. Savelonas, E.A. Mylona, D. Maroulis, “Unsupervised 2D Gel Electrophoresis Image Segmentation based on Active Contours,” Pattern Recognition, vol. 45, no. 2, pp. 720-731, Elsevier Science, 2012.
  • M.A. Savelonas, S. Chountasis, “Noise-resistant Watermarking in the Fractional Fourier Domain utilizing Moment-based Image Representation,” Signal Processing, vol. 90, no. 8, pp. 2521-2528, Elsevier Science, 2010.
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