Education
Ph.D. in Biomedical Engineering
National Technical University of Athens, Greece — School of Electrical and Computer Engineering
Postdoctoral Research
Centre de Recherche de l'ICM, INSERM UMRS 975 – CNRS UMR 7225
Hôpital de la Pitié-Salpêtrière, Paris, France
Current Position
Laboratory Teaching Staff, School of Health Sciences, Department of Nutritional Science and Dietetics, University of Peloponnese, Greece
Dr. Nikolopoulos is engaged in teaching and educational activities, research, and technical consulting, contributing his expertise to advance the institution's academic and technological initiatives.
Research Interests
Dr. Nikolopoulos's principal research interests encompass biostatistics applied to food and dietary research, as well as statistical and dynamical analysis—both linear and nonlinear—of time series derived from experimental measurements. His work focuses on biological systems, particularly those involving cardiac and cerebral activity, and extends to physical systems, including electromagnetic geophysical signals.
Research Projects
European Research Programs
Dr. Nikolopoulos has participated in numerous European research initiatives. Notably, he contributed to the Program of Industrial Research Development (code 96BE85) and the FP7 Project EPILEPSIAE (Evolving Platform for Improving Living Expectation of Patients Suffering from Ictal Events, Grant No. 211713). As a key member of the development team, he helped create EPILAB, a software package designed for the study and prediction of epileptic seizures.
Geophysical Research
He also participated in the European research program EPEAEK/PYTHAGORAS 70/3/7357, conducting research on experimental geophysical signals to identify precursors to imminent severe earthquakes.
Publications
Dr. Nikolopoulos has authored more than 40 peer-reviewed publications in the fields of Biomedical Engineering and Nonlinear Time Series Analysis, appearing in international journals and fully refereed conference proceedings.
Selected Publication
His article, "A Unified Approach of Catastrophic Events," published in Natural Hazards and Earth System Sciences (Vol. 4, pp. 615–631, 2004), was subsequently included in the collective volume Models and Application of Chaos in Modern Sciences, edited by Dr. Elhadj Zeraoulia (Science Publishers, USA, 2011).
Professional Experience
From 2001 to 2017, Dr. Nikolopoulos served in the Ministry of Public Order and Citizen Protection, specializing in cryptology and information assurance. During this period, he contributed to the development of secure communication systems, resulting in a co-patent entitled Communication Security in Networks with the Aid of Random Check (Patent No. ΔΕ 20030100537, Athens, December 29, 2003).
Patents
Co-inventor: Communication Security in Networks with the Aid of Random Check. Patent No. ΔΕ 20030100537. Athens, Greece. Issued December 29, 2003.
Biostatistics and data analysis
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.
