Short Bio

I am an Assistant Professor at the University of Ioannina at the Department of Informatics and Telecommunications. I received my Ph.D. from the Department of Computer Science, University of Ioannina, Greece, and my M.Sc. and B.Sc. in Computer Science from the same institution.

In the past, i was a Research Assistant at the University of Nebraska Medical Center, USA and Post Doc Researcher at the Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden.

My research covers a wide range of topics such as Computer Vision, Image Processing and Machine Learning.

Contact Info

E-mail: pkarvelis@uoi.gr

Office phone: +30 26810 50518

Office address: Department of Telecomunications and Informatics, Kostakioi, Arta, 47150

GitHub: https://github.com/pkarvelis

LinkedIn: https://www.linkedin.com/in/petros-karvelis-36b42963/

Office Hours: Monday 10-12, Tuesday 10-12, Friday 9-11

Make an Appointment: Fill in the form

Publications

Journals

C. Mietus, T. Lackner, P. Karvelis, G. Willcockson, C. Shields, N. Lambert, P. Koutakis, M. Fuglestad, H. Hernandez, G. Haynatzki, J. Kim, H. DeSpiegelaere, I. Pipinos, G. Casale, "Abnormal Microvascular Architecture, Fibrosis, and Pericyte Characteristics in the Calf Muscle of Peripheral Artery Disease Patients with Claudication and Critical Limb Ischemia," Journal of Clinical Medicine, vol. 9(8), 2575-2596, 2020.
Christoforos Kanellakis, Sina Sharif Mansouri, Miguel Castaño, Petros Karvelis, Dariusz Kominiak, G Nikolakopoulos, Where to look: a collection of methods for MAV heading correction in underground tunnels, IET Image Processing, 2020.
Petros Karvelis, George Georgoulas, Vasilis Kappatos, Chrysostomos Stylios, Deep machine learning for structural health monitoring on ship hulls using acoustic emission method, Ships and Offshore Structures, p.1-9, 2020.
Petros Karvelis, Daniele Mazzei, Matteo Biviano, Chrysostomos Stylios, PortWeather: A Lightweight Onboard Solution for Real-Time Weather Prediction. Sensors 2020, 20, 3181.
Nick Eleftheroglou, Sina Sharif Mansouri, Theodoros Loutas, Petros Karvelis, George Georgoulas, George Nikolakopoulos, Dimitrios Zarouchas, Intelligent data-driven prognostic methodologies for the real-time remaining useful life until the end-of-discharge estimation of the Lithium-Polymer batteries of unmanned aerial vehicles with uncertainty quantification, Applied Energy, Volume 254, 2019.
George Georgoulas, Petros Karvelis, Vaclav Chudacek, Jiri Spilka, Miroslav Burša, Lenka Lhotska, Chrysostomos D Stylios, George Nikolakopoulos, How far can we get with the pH based labeling and FHR analysis? An exploratory approach, Signal, Image and Video Processing, p.1-9, 2020.
U. Röijezon, R. Faleij, P. Karvelis, G. Georgoulas and G. Nikolakopoulos3, A new clinical test for sensorimotor function of the hand – development and preliminary validation, BMC Musculoskelet Disord. 2017; 18: 407, 2017 (doi: 10.1186/s12891-017-1764-1).
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).
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.
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).
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.
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
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.
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.
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.
P. Karvelis, A. Likas “Fully Unsupervised M-FISH Chromosome Image Characterization,” IEEE J Biomed. Health Inform., vol. 17, no. 6, pp.1068-78, 2013.
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.
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,” EEE Transactions on Information Technology in Biomedicine,vol. 16,no.3, pp.391-400,2012.
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.
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.
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.
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.
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

Conferences

A. Papoutsis, G. Botilias, P. Karvelis, C. Stylios, A Machine Learning Approach for Human Activity Recognition , Proceedings, of the 17th International Conference on Wearable Micro and Nano technologies for Personalized Health, pHealth 2020, September 14-16, Prague, 2020.
G. Botilias, A. Papoutsis, P. Karvelis, C. Stylios, Track My Health: An IoT Approach for Data Acquisition and Activity Recognition, Proceedings, of the 17th International Conference on Wearable Micro and Nano technologies for Personalized Health, pHealth 2020, September 14-16, Prague, 2020.
Chrysostomos Stylios, Petros Karvelis, John Garofalakis, “Lean Innovative Connected Vessels “LINCOLN” Project,” Information, Intelligence, Systems and Applications, 2020, 2020.
Sina Sharif Mansouri, Christoforos Kanellakis, Petros Karvelis, Dariusz Kominiak, George Nikolakopoulos, “MAV Navigation in Unknown Dark Underground Mines Using Deep Learning,” European Control Conference, 2020.
Christoforos Kanellakis, Petros Karvelis, Sina Sharif Mansouri, Ali-akbar Agha-mohammadi, George Nikolakopoulos, “Vision-driven NMPC for Autonomous Aerial Navigation in Subterranean Environments,” International Federation of Automatic Control, Berlin, Germany 2020.
P. Karvelis, S. Petsios, G. Georgoulas, C. Stylios, “Short Time Wind Forecasting with Uncertainty,” 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA), 2019.
S. Albertario, J. Cassina, P. Karvelis and C. Stylios, “Maritime IoT Platform,” 9th International Conference on Logistics and Maritime Systems, 2019.
N. Eleftheroglou, D. Zarouchas, T. Loutas, S. Mansouri, G.Georgoulas, P. Karvelis, G. Nikolakopoulos and R. Benedictus, "Real time Diagnostics and Prognostics of UAV Lithium-Polymer Batteries," 2019 Prognostics and System Health Management Conference (PHM 2019), Paris, France, on May 2-5, 2019.
S. Mansouri, P. Karvelis, C. Kanellakis, D. Kominiak and G. Nikolakopoulos, "Vision-based MAV Navigation in Underground Mine Using Convolutional Neural Network," 45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal, Oct. 14-17, 2019.
C. Kanellakis, P. Karvelis and G. Nikolakopoulos, “Image enhancing in poorly illuminated subterranean environments for MAV applications: A comparison study,” 12th International Conference on Computer Vision Systems, 2019.
C. Kanellakis, P. Karvelis and G. Nikolakopoulos, “Open Space Attraction Based Navigation in Dark Tunnels for MAVs,” 12th International Conference on Computer Vision Systems, 2019.
C. Kanellakis, P. Karvelis and G. Nikolakopoulos, “On Image based Enhancement for 3D Dense Reconstruction of Low Light Aerial Visual Inspected Environments”, Proceedings of Computer Vision Conference (CVC) 2019 in the series "Advances in Intelligent Systems and Computing", Las Vegas, USA, 2019.
P. Karvelis, T. Michail, D. Mazei, S. Petsios, A. Bau, G. Montelisciani, C. Stylios, Adopting and Embedding Machine Learning Algorithms in Microcontroller for Weather Prediction, 9th international Conference on Intelligent Systems, 22-25 September,2018.
G. Georgoulas, P. Karvelis, C. Stylios, L. Frosini, I. Tsoumas, "Exploring the Detectability of Short-Circuit Faults in Inverter-Fed Induction Motors," IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, Washington, DC, pp. 5930-5935, 2018.
A. Eleftheriou, K. Kouvaris, P. Karvelis, C. Stylios, "Micro Climate Prediction Utilising Machine Learning Approaches", 2018 IEEE International Conference on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea), Bari, Italy, pp. 197-200, 2018.
T. Athanasiou, D. Salmas, P. Karvelis, I. Angelis, V. Andrea, P. Schismenos, M. Styliou and C. Stylios, "A Web-Geographical Information System for Real Time Monitoring of Arachthos River, Greece," th IFAC Conference on Technology, Culture and International Stability TECIS 2018: Baku, Azerbaijan,Volume 51, Issue 30, Pages 384-389, 2018.
S. Kolios, P. Karvelis and C. Stylios, “Web-based Geographical Information System for Real-Time Flood Monitoring of the River Arachthos in Epirus Region, Greece”, Proceedings of SPACOMM 2018 : The Tenth International Conference on Advances in Satellite and Space Communications, pp. 28-31, Athens, 2018.
P. Karvelis, D. Gavrilis, G. Georgoulas and C. Stylios, “Topic recommendation using Doc2Vec”, International Joint Conference on Neural Networks (IJCNN), Rio, Brazil, 2018.
V. Kappatos, P. Karvelis, G. Georgoulas, V. Tzitzilonis, “Optimum Position of Acoustic Emission Sensors for Ship Hull Structural Health Monitoring Based on Deep Machine Learning”, Sixth International Conference on Advances in Mechanical and Robotics Engineering - AMRE 2017, 8–9 December 2017, Rome, Italy.
P. Karvelis, G. Georgoulas, S. Kolios and C. D. Stylios, Ensemble Learning for Forecasting Main Meteorological Parameters, 2017 IEEE International Conference on Systems, Man and Cybernetics (SMC), Banff, Canada, 2017.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
P. Karvelis, D. Fotiadis, M. Syrrou, I. Georgiou, Segmentation of chromosomes images based on a recursive watrershed transform, Proceedings of the 3rd European Medical Biological Engineering Conference, (EMBEC 2005), pp. 497-502, Prague, 20‐25 November 2005.
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.
C. D. Stylios, G. Georgoulas, P. Karvelis, J. Spilka, V. Chudáček and L. Lhotska Least squares support vector machines for FHR classification and assessing the pH based categorization XIV Mediterranean Conference on Medical and Biological Engineering and Computing MEDICON 2016, 31 Mar - 2 Apr, 2016.