MICHAEL TAROUDAKIS

MICHAEL TAROUDAKIS

Michael Taroudakis is a Professor in the Department of Mathematics and Applied Mathematics of the University of Crete. He is also a member of the Institute of Applied and Computational Mathematics (IACM) of the Foundation for Research & Technology-Hellas (FORTH).
MICHAEL
TAROUDAKIS
...
University of Crete, Voutes University Campus, 70013 Heraklion, Crete, Greece
+30 2810 391784
Taroudakis M.I., Tzagkarakis G., Tsakalidis P.: “Classification of acoustic signals using the statistics of the 1-D wavelet transform coefficients” Journal of the Acoustical Society of America Vol. 119, pp 1396-1405 (2006).

Taroudakis M.I. and Smaragdakis C. "On the use of Genetic Algorithms and a statistical characterization of the acoustic signal for tomographic and bottom geoacoustic inversions” Acta Acustica united with Acustica Vol. 95, No 5, pp 814-822 (2009).

Taroudakis M.I. and Smaragdakis C. " Inversions of statistical parameters of an acoustic signal in range-dependent environments with applications in ocean acoustic tomography" Journal of the Acoustical Society of America Vol. 134, pp 2814-2822 (2013).

Taroudakis M.I., Smaragdakis C. and Chapman, N.R. " Inversion of acoustical data from the `Shallow Water 06' experiment, using a statistical method for signal characterization " Journal of the Acoustical Society of America Vol. 136, pp. EL336-EL342 (2014).

Taroudakis M. “Towards a silent marine environment: The role of passive acoustic observatories” Rivista Italiana di Acustica Vol 39, pp 51-62 (2015).

Taroudakis M.I.: "Statistical Characterization of Acoustic Signals Using 1D Wavelet Transforms with Applications in Acoustical Oceanography" J. Th. Comp. Acous. Vol. 26, No. 4, 1850047 DOI: 10.1142/S2591728518500470 (2018).
Mathematical modelling of physical phenomena with emphasis in wave propagation

Underwater Acoustics

Direct problems. Helmholtz equation - Parabolic approximation. Normal-mode theory in range-independent and range-dependent environments. Broad-band propagation

Inverse problems. Ocean Acoustic Tomography. Wave-theoretic approaches. Linear and non-linear schemes. Matched-field processing. Neural Networks. Genetic Algrithms. Hybrid schemes.

Geoacoustic Inversions. Bottom recognition.

Statistical Signal Processing for inversions, Machine learning techniques.

Ambient noise in the sea. Prediction models. Monitoring processes

Seismic waves

Noise and Vibration Control.

Marine Bioacoustics

Music and Mathematics
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