Ph.D in Computer Science
Title of Thesis: Analysis of multichannel chromosome images.

MSc in Computer Science
Title of Thesis: Segmentation of greyscale chromosome images.

BSc in Computer Science
Title of Thesis: Tetrahedralization algorithms of convex polyhedra.


Instructor of Medical Imaging
Cardiovascular Biology and Biomechanics Laboratory
University of Nebraska Medical Center
Director: Yiannis Chatzizisis

Post Doc Researcher
Knowledge and Intelligent Computing Laboratory
Director: Chrysostomos Stylios

PhD Student
Information Processing and Analysis Research Group
PhD Supervisor: Aristidis Lykas

MSc & PhD Student
Unit of Medical Technology and Intelligent Information Systems
Supervisor/Director: Dimitrios Fotiadis

Awards - Scholarships

Marie Curie Fellowship 2013

Scholarship from the Foundation for Research and Technology-Hellas (FORTH) Biomedical Research Insititute FORTH/BRI


Department of Informatics and Telecommunications Engineering (Department of Western Macedonia) the courses:

Department of Computer Engineering (Technological and Educational Institute of Hpeiros, Arta) the courses:

Research Interests


George Georgoulas,
Technical Manager @ENZyme-RD 
Chrysostomos Stylios,
Assistant Professor at the TEI Arta 
Ioannis Tsoumas,
Research Scientist at
ABB Corporate Research
Jacqueline A. Fairley,
Georgia Tech Research Institute  
George Nikolakopoulos,
Full Professor of Control Engineering at Luleå University of Technology
Ulrik Röijezon,
Senior Lecturer, Division Health and Rehab, Luleå University of Technology. 



  1. How far can we get with the pH based labeling and FHR analysis? An exploratory approach.
  2. George Georgoulas, Petros Karvelis, Jiří Spilka, Václav Chudáček, Chrysostomos Stylios, Lenka Lhotská, Investigating pH based evaluation of FHR recordings, Health Technology, pp. 1-14, (2017), (doi:10.1007/s12553-017-0201-7).
  3. Chrysostomos D. Stylios, George Georgoulas, Petros Karvelis, Branislav Opacic, Fabrizio Simeoni, Srecko Maksimovic, Walter Gerreto, A Web Based Decision Support System for Intermodal Port and Dry Port Facilities, Journal of Transportation Technologies, 2017, vol. 7, no. 1, pp. 36-49.
  4. Petros Karvelis, George Georgoulas, Ioannis P. Tsoumas, Jose Alfonso Antonino-Daviu, Vicente Climente-Alarcón, and Chrysostomos D. Stylios, A Symbolic Representation Approach for the Diagnosis of Broken Rotor Bars in Induction Motors, IEEE Transactions on Industrial Informatics, vol. 11, no. 5, pp. 1028-1037, 2015 (Impact Factor 8.785).
  5. Petros Karvelis, Jiří Spilka, George Georgoulas, Václav Chudáček, Chrysostomos Stylios, Lenka Lhotská, Combining Latent Class Analysis Labeling with Multiclass Approaches for FHR categorization, Physiological Measurement 36, 1001-1024, 2015.
  6. George Georgoulas, Petros Karvelis, Theodoros Loutas, Chrysostomos D. Stylios, “Rolling element bearings diagnostics using the Symbolic Aggregate Approximation,” Mechanical Systems and Signal Processing, vol. 60-61, pp. 229-242, 2015
  7. J. Fairley, G. Georgoulas, O. Smart, G. Dimakopoulos, P. Karvelis, C. Stylios, D. Rye, and D. Bliwise, “Wavelet Analysis to Detect Phasic Electromyographic Activity for Applications in Neurodegenerative Disorder Tracking,” Computers in Biology and Medicine vol. 28, no.1 pp. 77-84, 2014.
  8. G. Georgoulas, P. Karvelis, G. Iacobellis, V. Boschian, M. Fanti, W. Ukovich, C. Stylios, “Harmony Search augmented with Optimal Computing Budget Allocation Capabilities for Noisy Optimization,” IAENG International Journal of Computer Science, vol. 40, no.4, pp. 285-290, 2013.
  9. N. Giannakeas, P. Karvelis,T. Exarchos, F. Kalatzis, D. Fotiadis, "Segmentation of Microarray Images Using Pixel Classification - Comparison with Clustering based Methods," Computers in Biology and Medicine, vol. 43, no. 6, pp. 705-716, 2013.
  10. P. Karvelis, A. Likas “Fully Unsupervised M-FISH Chromosome Image Characterization,” IEEE J Biomed. Health Inform., vol. 17, no. 6, pp.1068-78, 2013.
  11. L. Athanasiou, P. Karvelis, T. Exarchos, V. Tsakanikas, K. Naka, L. Michalis, and D. Fotiadis,  "A hybrid plaque characterization method using intravascular ultrasound images," Technology and Healthcare, pp. 199-216, 2013.
  12. L. Athanasiou, P. Karvelis, V. Tsakanikas, K. Naka, L. Michalis, C. Bourantas, and D. Fotiadis, “A novel semi‐automated atherosclerotic plaque characterization  method using grayscale intravascular ultrasound images. Comparison with  Virtual Histology,” IEEE Transactions on Information Technology in Biomedicine,vol. 16,no.3, pp.391-400,2012.
  13. P. Karvelis, D. Fotiadis, A. Likas, Identifying touching and overlapping chromosomes using the watershed transform and gradient paths, Pattern Recognition Letters, vol. 31, pp. 2474–2488, 2010.
  14. M. Bourantas, M. Papafaklis, P. Karvelis, C. Katsouras, L. Michalis, “Comparison of Quantitative Coronary Angiography (QCA) with Intracoronary Ultrasound  (ICUS). Can QCA accurately estimate the severity of a luminal stenosis?”,  Angiology, vol. 60, pp. 169 – 179, Apr 2009.
  15. P. Karvelis, D. Tsalikakis, D. Fotiadis, I. Georgiou, Enhancement of Multichannel Chromosome Classification Using a Region-Based Classifier and Vector Median Filtering, IEEE Trans. on Information Technology in Biomedicine, vol. 13, no. 4, pp. 561-570, 2009.
  16. P. Karvelis, A. Tzallas, D. Fotiadis, I. Georgiou, A Multichannel Watershed-Based Segmentation Method for Multispectral Chromosome Classification, IEEE Trans. on Medical Imaging, vol. 25, no. 5, pp. 697-708, 2008.
  17. A. Tzallas, P. Karvelis, C. Katsis, D. Fotiadis, S. Giannopoylos, S. Konitsiotis, A Method for Classification of Transient Events in EEG Recordings: Application to Epilepsy Diagnosis, Methods of Information on Medicine,vol. 45, no. 6, pp. 610-621, 2006.


  1. G. Georgoulas, P. Karvelis, D. Gavrilis, C. D. Stylios, G. Nikolakopoulos, An ordinal classification approach for CTG categorization, 39th Annual International Conference of IEEE Engineering in Medicine & Biology Society (EMBC’17), S. Korea, 11-15 July 2017.
  2. S. Mansouri, P. Karvelis, G. Georgoulas, G. Nikolakopoulos, Remaining Useful Battery Life Prediction for UAVs based on Machine Learning, IFAC 2017 World Congress, Toulouse, France The 20th World Congress of the International Federation of Automatic Control, 9-14 July 2017, Toulouse, France.
  3. N. Avdelidis, V. Kappatos, G. Georgoulas, P. Karvelis, C. Deli, P. Theodorakeas, G. Giakas, A. Tsiokanos, M. Koui, A. Jamurtas, Detection and characterization of exercise induced muscle damage (EIMD) via thermography and image processing, SPIE Smart Structures, Advanced materials, sensor networks, and structural health monitoring, Portland, USA.
  4. P. Karvelis, U. Röijezon, R. Faleij, G. Georgoulas, G. Nikolakopoulos, A Laser Dot Tracking Method for the Assessment of Sensorimotor Function of the Hand 25th Mediterranean Conference on Control and Automation, MED2017, Malta.
  5. P. Karvelis, G. Georgoulas, F. Jacqueline, S. Chrysostomos, D. Rye, D. Bliwise, Towards a Fully Automated Tool for Annotation of Phasic Electromyographic Activity, 24th Mediterranean Conference on Control and Automation June 21-24, 2016. Athens, Greece.
  6. G. Georgoulas, P. Karvelis, S. Colios, C. Stylios, Examining nominal and ordinal classifiers for forecasting wind speed, in the 8th IEEE International Conference on Intelli­gent Systems IS’16.
  7. G. Georgoulas, P. Karvelis, I. Tsoumas, J. A. Antonino-Daviu, J. Corral Herna, C. Stylios, V. Climente-Alarco and G. Nikolakopoulos, “Automatizing the detection of rotor failures in induction motors operated via soft-starters”, in the Proceedings of the 41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2016, November 9-12, pp.3743 - 3748, 2015, Yokohama, Japan.
  8. P. Karvelis, G. Georgoulas, C. Stylios, I.Tsoumas, J. Antonino-Daviu, V. Alarcon, Jesús Corral-Hernández, George Nikolakopoulos, Symbolic time series analysis of the soft starting transient in induction machines, in the 2015 IEEE International Conference on Industrial Technology (ICIT 2015), Seville, Spain, March 17-19, 2015.
  9. C. Stylios, P. Karvelis, G. Georgoulas, A Generic Tool for the Implementation of the Aanalytics Hierarchy Process, Proceedings of Computer Science and Information Technologies Sheffield, pp. 147-152, England September 17 - 22, 2014.
  10. P. Karvelis, G. Georgoulas, C. Stylios, I. Tsoumas, J. Antonino-Daviu, M. Picazo Ródenas, V. Alarcón, "An Automated Thermographic Image Segmentation Method for Induction Motor Fault Diagnosis," in the Annual Conference of the IEEE Industrial Electronics Society (IECON), Dallas, TX - USA, 29 October- 1 November 2014.
  11. G. Georgoulas, P. Karvelis, C. Stylios, I.Tsoumas, J. Antonino-Daviu, V. Alarcon, "Automatizing the Broken Bar Detection Process via Short Time Fourier Transform and Two-Dimensional Piecewise Aggregate Approximation Representation," IEEE Energy Conversion Congress and Exposition (ECCE), Pittsburg, PA, USA, Sept. 2014.
  12. J. Fairley , P. Karvelis, G. Georgoulas, C. Stylios, D. Rye, D. Bliwise, "Symbolic representation of human electromyograms for automated detection of phasic activity during sleep," 2014 IEEE Workshop on Statistical Signal Processing (SSP), pp. 185-188, 2014.
  13. P. Karvelis, J. Fairley, G. Georgoulas, C. Stylios, D. Rye, D. Bliwise, "Semi-Automated Annotation of Phasic Electromyographic Activity," Artificial Intelligence: Methods and Applications Lecture Notes in Computer Science, Vol. 8445, pp 532-543, 2014.
  14. J. Spilka, G. Georgoulas, P. Karvelis, V. Chudáček, C. Stylios, L. Lhotská, "Discriminating Normal from “Abnormal” Pregnancy Cases Using an Automated FHR Evaluation Method," Artificial Intelligence: Methods and Applications Lecture Notes in Computer Science, vol. 8445, pp 521-531, 2014.
  15. P. Karvelis, G. Georgoulas, I. Tsoumas, Ch. Stylios, J. Antonino-Daviu, V. Climente-Alarcon, "An intelligent icon approach for rotor bar fault detection", to be presented in the Annual Conference of the IEEE Industrial Electronics Society (IECON), Vienna-Austria, 10-13 November 2013.
  16. Jiri Spilka, George Georgoulas, Petros Karvelis, Vangelis Oikonomou, Vaclav Chudacek, Chrysostomos Stylios, Lenka Lhotska, Petr Janku, Automatic evaluation of FHR recordings from CTU-UHB CTG database, In Information Technology in Bio- and Medical Informatics (ITBAM 2013), p. 47-61, 2013.
  17. S. Kolios, P. Karvelis, C. Stylios, P. Tagkas, Cloud top height estimation from the Meteosat water vapor imagery using computational intelligence techniques: Preliminary results Fifth International Conference on Advances in Satellite and Space Communications, SPACOMM 2013, pp.66-71, 2013.
  18. P. Karvelis, A. Likas, D. Fotiadis, "Semi unsupervised M-FISH chromosome image classification," Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference on , pp.1-4, 3-5 Nov. 2010.
  19. L. Athanasiou, P. Karvelis, V. Tsakanikas, K. Stefanou, K. Naka,L. Michalis, G. Rigas,D. Fotiadis, “Atherosclerotic Plaque Characterization Using Geometrical Features from Virtual Histology Intravascular Ultrasound Images" 10th IEEE International Conference on Information Technology and Applications in Biomedicine, ITAB 2010, Corfu, Greece
  20. P. Karvelis, D. Fotiadis, I. Georgiou and P. Sakaloglou, "Enhancement of the Classification of Multichannel Chromosome Images Using Support Vector Machines," 31st Annual International Conference of the IEEE EMBS Minneapolis, USA, September 2-6, pp. 3601-3604, 2009.
  21. P. Karvelis, and D. Fotiadis, A region based decorrelation stretching method: Application to multispectral chromosome image classification, IEEE International Conference on Image Processing, (ICIP 2008), San Diego, October 2008.
  22. P. Karvelis, D. Fotiadis, A. Tzallas, and I. Georgiou, "Region Based Segmentation and Classification of Multispectral Chromosome Images," 20th IEEE  International Symposium on Computer-Based Medical Systems, (CBMS 2006), June 20-22, Maribor, pp. 251-256, 2007.
  23. C. Bourantas, Α. Tweedel, M. Papafaklis, P. Karvelis, D. I. Fotiadis, C. Katsouras, L. Michalis, Σύγκριση Ενδοστεφανιαίου Υπερηχογραφήματος (IVUS) και Ποσοτικής Ανάλυσης Στεφανιογραφίας (QCA). Πόσο ακριβής είναι ο προσδιορισμός του μήκους της στένωσης από την ποσοτική ανάλυση στεφανιογραφίας (In Greek), 27ο Πανελλήνιο Καρδιολογικό Συνέδριο, Αθήνα , 2-4 Νοεμβρίου, 2006.
  24. P. Karvelis, D. Fotiadis, Analysis of Cytogenetic Abnormalities using Multispectral Chromosome Images, International Special Topic on Information Technology in Biomedicine, (ITAB 2006), Oct 26‐28, 2006.
  25. N. Giannakeas, P. Karvelis, and D. Fotiadis, A Classification-Based Segmentation of cDNA Microarray Images using Support Vector Machines, Proceedings of the 30th IEEE EMBS Annual International Conference, (EMBS 2008), pp. 875-878, Vancouver, Canada, Aug 20-Sept 24, 2008.
  26. P. Karvelis, and Fotiadis, D.I., "Enhancement of Multispectral Chromosome Image Classification Using Vector Median Filtering", 15th International Workshops on Conceptual Structures, pp. 49-54, 2007.
  27. P. Karvelis, D. Fotiadis, I. Georgiou, and M. Syrrou, A Watershed Based Segmentation Method for Multispectral Chromosome Images Classification,  Proceedings of the 28th IEEE EMBS Annual International Conference, (EMBS 2006), pp. 3009-3012, New York City, USA, Aug 30-Sept 3, 2006.
  28. P. Karvelis, D. Fotiadis, M. Syrrou, I. Georgiou, Segmentation of chromosomes images based on a recursive watrershed transofrm, Proceedings of the 3rd European Medical Biological Engineering Conference, (EMBEC 2005), pp. 497-502, Prague, 20‐25 November 2005.
  29. A. Tzallas, C. Katsis, P. Karvelis, D. Fotiadis, S. Giannopoulos, S. Konitsiotis, Classification of Transient Events in EEG recordings using Support Vector  Machines, Proceedings of the 3rd European Medical & Biological Engineering Conference, (EMBEC 2005), pp. 310-316, Prague, 20‐25 November 2005.
  30. A. Tzallas , C. Katsis, P. Karvelis, D. Fotiadis, S. Konitsiotis and S. Giannopoulos, Classification Of Transients In EEG Recordings, Proceedings of the 2nd International Conference on Advances in Biomedical Signal and Information Processing, (MEDSIP 2004), Malta, 5-8 September 2004.

Book Chapters

  1. P. Karvelis and D.Fotiadis, Recent Advances in Automated Chromosome Image Aanalysis, Handbook of research on advanced techniques in diagnostic images and biomedical application, 2008.
  2. D. Tsalikakis, P. Karvelis and D. Fotiadis, Segmentation of Cardiac Magnetic Resonance Images, Handbook of research on advanced techniques in diagnostic images and biomedical application, 2008.

Reviewer for Intarnational Journals