Stavros N. Nikolopoulos, received his PhD degree in Biomedical Engineering from the School of Electrical and Computer Engineering in National Technical University of Athens in Greece. He did post-doctoral studies in the Centre de Recherche de l'ICM, INSERM UMRS 975 - CNRS UMR 7225, Hôpital de la Pitié-Salpêtrière, in Paris, France. Currently he works in the Directorate of Informatics of University of Peloponnese, where he is conducting technical, educational and research activities.

His main research activities regard non linear analysis of timeseries generated from experimental measures,  on biological systems of heart and brain, and of electromagnetic geophysical signals as well. He has been participated in European research programs, such as the Program of Industrial Research Development with code 96BE85 or the  FP7 Project EPILEPSIAE (Evolving Platform for Improving Living Expectation of Patients Suffering from Ictal Events, Grant No 211713). In the latter he was one of the members developed EPILAB, a software package for studies on the prediction of epileptic seizures.

He also participated in the European research program EPEAEK/PYTHAGORAS 70/3/7357, where he conducted research in experimental geophysical signals for identifying precursors to imminent severe land earthquakes. His article “A unified approach of catastrophic events” Natural Hazards and Earth System Sciences 4: 615 – 631 (2004), has been entered in the collective Book entitled “Models and Application of Chaos in Modern Sciences”, edited by Dr Elhadj Zeraoulia, Science Publishers, USA, 2011.  

He has published more than 40 papers in the field of Non linear Timeseries Analysis, obtained from experimental data in international journals and full review conferences.

From 2001 up to 2017, he has been working in the Ministry of Public Order and Citizen Protection in the sector of Cryptology and Information Assurance. He is co-beneficiary in a patent entitled: Communication Security in Networks with the aid of random check, with number: ΔΕ 20030100537. Athens 29-12-2003.

Data process and analysis.

Data mining and prediction

Linear and nonlinear timeseries analysis and prediction, applied to natural experimental data.

Biostatistics

International Journal Papers

[1] S. Nikolopoulos, A. Alexandridi, S. Nikolakeas and G. Manis.  Experimental analysis of heart rate variability of long- recording electrocardiograms in normal subjects and patients with coronary artery disease and normal left ventricular  function, Journal of Biomedical Informatics Volume 36, Issue 3 , June 2003, Pages 202-217

[2] S. Nikolopoulos, P. Kapiris, K. Karamanos, and K. Eftaxias “A unified approach of catastrophic events” Natural Hazards and Earth System Sciences 4: 615 – 631 (2004)

[3] V. Soulioti, Y. Bakopoulos, S Kouremenos, Y. Vrettaros, S. Nikolopoulos, A.S.Drigas Stream Ciphers created by a Discrete Dynamic System for application in the Internet WSEAS Transactions on Communications, Issue 2, Volume 3, April 2004.

[4] V. Soulioti, Y. Bakopoulos, S Kouremenos, S. Nikolopoulos, Y. Vrettaros and A.S.Drigas. Quantum Key Distribution and Adaptive Protocols. WSEAS Transactions on Communications, issue 10, volume 3, p.p. 3345-3349,2004

[5] K. Karamanos, A. Peratzakis, P. Kapiris, S. Nikolopoulos, J. Kopanas, and K. Eftaxias. Extracting Preseismic Electromagnetic Signatures in Terms of Symbolic Dynamics.  Nonlinear Processes in Geophysics, 12, 835–848, 2005.

[6] A. Aggarwal, Y. Bakopoulos, V. Soulioti, N. Bardis, S. Kouremenos, S. Nicolopoulos Stream Ciphers Created by a Discrete Dynamic System for Application in the Internet WSEAS Transactions on Computers, V 5(1), 2006

[7] K. Karamanos, S. Nikolopoulos, G. Manis, A. Alexandridi K. Hizanidis and S. Nikolakeas Block Entropy Analysis of Heart Rate Variability Signals International  Journal of Bifurcations and Chaos Vol. 16, No. 7 (2006) 2093-2101.

[8] S. Nikolopoulos, G. Manis and A. Alexandridi. Investigation of Correlation Dimension Estimation in Heartbeat timeseries. International Journal of Bifurcation and Chaos, Vol. 16, No. 9 pp. 2481-2498,  (2006)

[9] K. Karamanos, D. Dakopoulos, K. Aloupis, A. Peratzakis, L. Athanasopoulou,  S. Nikolopoulos, P. Kapiris, K. Eftaxias Preseismic electromagnetic signals in terms of complexity. Phys. Rev. E 74, 016104 (2006).

[10]  E. Stamatopoulos, M. Vavuranakis, T.G. Papaioannou, S. Nikolopoulos and C. Stefanadis. Effects of coronary microcirculation on intracoronary pressure waveforms as assessed by fast fourier fransform analysis. Artery Research Volume 1, Supplement 1, Page 41, 2006

[11] George Manis, Stavros Nikolopoulos and Anastasia Alexandridi. Assessment of the Classification Capability of Prediction and Approximation Methods for HRV Analysis. Computers in Biology and Medicine, volume 37, issue 5, pp. 642-654, May 2007.

[12] Vavuranakis M., Stamatopoulos I., Papaioannou T., Nikolopoulos S., Toutouzas K., Stefanadis C.  “Alterations of pressure waveforms along the coronary arteries and the effect of microcirculatory vasodilation”. International journal of Cardiology, 117 (2),   p.254-259, Apr 2007.

[13] K. Eftaxias, L. Athanasopoulou, G. Balasis, M. Kalimeri, S. Nikolopoulos, Y. Contoyiannis, J. Kopanas, G. Antonopoulos, and C. Nomicos. “Unfolding the procedure of characterizing recorded ultra low frequency, kHZ and MHz electromagetic anomalies prior to the L’Aquila earthquake as pre-seismic ones – Part 1” Natural Hazards and Earth System Sciences., 9, 1–19, (2009).

[14] K. Eftaxias, G. Balasis, Y. Contoyiannis, C. Papadimitriou, M. Kalimeri, L. Athanasopoulou, S. Nikolopoulos, J.Kopanas, G. Antonopoulos, and C. Nomicos “Unfolding the procedure of characterizing recorded ultra low frequency, kHZ and MHz electromagnetic anomalies prior to the L’Aquila earthquake as pre-seismic ones. Part II.” Natural Hazards and Earth System Sciences., 10, 1–20, (2010).

[15] C. A. Teixeira, B. Direito, H. Feldwisch-Drentrup, M. Valderrama, R. P. 4 Costa, C. Alvarado-Rojas, S. Nikolopoulos, M. Le Van Quyen, J. Timmer, B. Schelter, A. Dourado, EPILAB: A software package for studies on the prediction of epileptic seizures. Accepted for publication on the international journal of Neuroscience Methods 200(2): 257-71 (2011).

[16] M. Valderrama, C. Albarado, S. Nikolopoulos, J. Martinerie, C. Adam, V. Navarro, M. Le Van Quyen, “Identifying an increased risk of epileptic seizures using a multi-feature EEG-ECG classification”. Biomedical Signal Processing and Control, Vol 7, Issue 3, Pages 237-244 (May 2012).

[17] George Manis, Petros Arsenos, Stavros Nikolopoulos, Konstantinos Gatzoulis and Christodoulos Stefanadis. “Details of the Application of Multiresolution wavelet Analysis on Heartbeat Timeseries”. International Journal of Bioelectromagnetism Vol.15 No1, pp60-64, 2013.

[18] George Manis, Stavros Nikolopoulos, Petros Arsenos, Konstantinos Gatzoulis, Polychronis Dilaveris and Christodoulos Stefanadis.  “Risk Stratification for Arrhythmic Sudden Cardiac Death in Heart Failure Patients using Machine Learning Techniques”. Computing in Cardiology 2013; 40:p141-144.