Rangoussi Maria



Office: Room ZB-114, Building Z, Campus 2 «Ancient Olive Grove»

Office Tel: +30 210 538-1224

Lab: ECTLab, Rooms ZB-103 & ZB-208, Building Z, Campus 2 «Ancient Olive Grove»

Lab Tels: +30 210 5381222 & +30 210 5381528

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Personal Webpage: rangoussi.eee.uniwa.gr


Google Scholarhttps://scholar.google.com/citations?hl=en&user=Mbc7Ya4AAAAJ



1994 - PhD in Digital Signal Processing and Pattern Recognition, Information Technology sector, School of Electrical and Computer
           Engineering, National Technical University of Athens, Greece
1990 -
MSc in Digital Signal Processing, Department of Electrical Engineering, University of Virginia, Virginia, USA
1987 -
Diploma of Electrical Engineer (specialization field: Information Technology), Department of Electrical Engineering,
           National Technical University of Athens, Greece


Research Interests

  • Digital Signal Processing (1-D signals, images, video)
  • Spectral Analysis – Time-Frequency and Time-Scale Representations
  • Pattern Recognition – Artificial Neural Networks, Genetic Algorithms, Fuzzy Logic Algorithms, Deep Learning
  • Speech processing and recognition
  • Biomedical signal processing (1-D signals, images, video)
  • Modeling and control of dynamic systems
  • Wireless sensor networks for environmental monitoring
  • E-learning – Educational Technologies – Educational data mining and visualization


Selected Publications


  • M.Rangoussi, and G.B.Giannakis, "FIR Modeling using Log-Bispectra: Weighted Least-Squares Algorithms and Performance Analysis,” IEEE Trans. on Circuits and Systems, vol. 38, pp. 281-296, March 1991.
  • M.Rangoussi, and G.Carayannis, "Adaptive detection of speech using third-order statistics,” Intl. Journal of Adaptive Control and Signal Processing, Special Issue on Adaptive Signal Processing and Higher Order Statistics, Wiley, vol. 10, no. 2/3, pp. 113-136, March-June 1996.
  • M.Poulos, M.Rangoussi, N.Alexandris, and A.Evangelou, "On the use of EEG features towards person identification via Neural Networks," Medical Informatics & the Internet in Medicine, (now: “Informatics for Health and Social Care”), vol. 26, No 1, pp. 35-48, January 2001.
  • M.Poulos, M.Rangoussi, N.Alexandris, and A.Evangelou, "Person Identification from the Electroencephalogram using non-linear signal classification," Methods of Information in Medicine, vol. 41, No. 1, pp. 64-75, January 2002.
  • N.Stathopoulos, S.Savvaidis, and M.Rangoussi, “Propagation characteristics of nonlinear waveguides with complex refractive index using a transmission line model”, Optical and Quantum Electronics, vol. 38, no. 8, pp. 683-699, June 2006.
  • A.Çay, S.Vassiliadis, M.Rangoussi, and I.Tarakçıoğlu, “Prediction of the air permeability of woven fabrics using neural networks”, International Journal of Clothing Science and Technology, vol. 19, no. 1, pp. 18-35, 2007.
  • S.Halkiotis, T.Botsis, and M.Rangoussi, “Automatic detection of clustered microcalcifications in digital mammograms using mathematical morphology and neural networks”, Signal Processing, Volume 87, Issue 7, pp. 1559-1568, July 2007.
  • S.M.Potirakis, N.-A.Tatlas, N.Zafeiropoulos, T.Ganchev, and M.Rangoussi, “Assessment of military intercom headsets for maximum voice reproduction level in high noise conditions,” Applied Acoustics, Elsevier, vol. 74, issue 6, pp.870–881, June 2013.
  • K.Prekas, T.Shah, N.Soin, M.Rangoussi, S.Vassiliadis, and E.Siores, “Sedimentation behaviour in electrorheological fluids based on suspensions of zeolite particles in silicone oil,” Journal of Colloid and Interface Science, vol. 401, July 2013, pp. 58-64.
  • S.M.Potirakis, B.Nefzi, N.-A.Tatlas, G.Tuna, and M.Rangoussi, “Design Considerations for an Environmental Monitoring Wireless Acoustic Sensor Network”, Sensor Letters, vol. 12, pp.1-7, 2014.
  • N.-A.Tatlas, S.M.Potirakis, S.A.Mitilineos, and M.Rangoussi, “On the effect of compression on the complexity characteristics of wireless acoustic sensor network signals”, Signal Processing, Elsevier, vol. 107, no. 2 pp.153-163, 2/2015.
  • S.Mitilineos, S.Potirakis, N.-A.Tatlas, and M.Rangoussi, “A Two-Level Sound Classification Platform for Environmental Monitoring,” Journal of Sensors, Hindawi Publications (Open Access), Article ID 5828074, Volume 2018. 
  • Α. Charitopoulos, M. Rangoussi, D. Koulouriotis, “On the Use of Soft Computing Methods in Educational Data Mining and Learning Analytics Research: a Review of Years 2010–2018,” International Journal of Artificial Intelligence in Education, 30(3), pp. 371-430, 2020. (https://doi.org/10.1007/s40593-020-00200-8).


  • I.Paraskevas, M.Rangoussi, S.M.Potirakis, and S.Savvaidis, “Phase spectral processing for improved time-domain soft microphone based noise estimation,” Acoustical Society of America, Proceedings of Meetings on Acoustics (POMA), electronic publication, vol. 4, 2008.
  • I.Paraskevas, S.M.Potirakis, and M.Rangoussi, “Natural Soundscapes and Identification Of Environmental Sounds: A Pattern Recognition Approach,” Proc. Intl. Conf. on Digital Signal Processing (DSP'09), Santorini, Greece, July 2009.
  • M.Rangoussi, S.M.Potirakis, and I.Paraskevas, “On the Development and Use of Sound Maps for Environmental Monitoring,” (paper 8113), 128th Audio Engineering Society Convention (AES’2010), London, UK, May 22-25, 2010.
  • I.Kokkaliaris, S.Potirakis, and M.Rangoussi, “Remote electronic laboratory experiment development and evaluation in higher technological education”, Proc. 2013 IEEE Global Engineering Education Conference (EDUCON), Berlin, Germany, 13-15 March 2013.
  • N.-A.Tatlas, S.M.Potirakis, S.A.Mitilineos, S.Despotopoulos, D.Nicolaidis, and M.Rangoussi, “A Wireless Acoustic Sensor Network for environmental monitoring based on flexible hardware nodes,” in Proc. AUDIO MOSTLY 2015 International Conference, Aristotle University of Thessaloniki, Greece, Oct. 8-10, 2015.
  • A.Charitopoulos, M.Rangoussi, and D.Koulouriotis, “Educational data mining and data analysis for optimal learning content management: Applied in moodle for undergraduate engineering studies,” 8th IEEE Global Engineering Education Conference (EDUCON 2017), Athens, Greece, Apr. 25-28, 2017.
  • G.Sykamiotis, A.Charitopoulos, M.Rangoussi, and D.Koulouriotis, “Extraction and presentation of access and usage data from an e-learning platform (moodle): Design and development of a software application,” 8th IEEE Global Engineering Education Conference (EDUCON 2017), Athens, Greece, Apr. 25-28, 2017.
  • E.Misailidis, A.Charitopoulos, and M.Rangoussi, “Visualization of educational data mined from the moodle e-learning platform,” 22nd Pan-Hellenic Conference on Informatics (PCI 2018), Athens, Greece, 29 Nov -1 Dec 2018.
  • K. Yiasemides, K. Zachariadou, M. Rangoussi, “Active learning in a hands-on Physics lab: A pilot study to fine-tune instruction and student assessment methodology,” IEEE Global Engineering Education Conference, (IEEE EDUCON 2020), pp. 1594-1603.
  • G.Charkoftakis, M.Rangoussi, “A single-stage, Deep Neural Network detector for the detection and tracking of moving objects in real time,” 24th Panhellenic Conference on Informatics (PCI’2020), ACM International Conference Proceeding Series, pp. 311–315, Nov. 20-22, 2020.
  • V.Siafis, M.Rangoussi, “Visualization of educational data mined from E-Learning platforms: A comparative evaluation of tools,” 14th Intl. Conf. of Education, Research and Innovation (ICERI 2021), Seville, Spain, Nov. 8-9, 2021.


Undergraduate Courses


Postgraduate Courses


Curriculum Vitae


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