Personal information
 Born: August 15, 1982 in Heraklion Crete, Greece.
 Marital Status: Married with 2 children.
 Citizenship: Greek.
 Languages: Greek and English.
 Military Obligations: Fulfilled.
Education
 BSc in Applied Mathematics, Department of Applied Mathematics, University of Crete (20002005).
 MSc in Mathematical Modeling and Scientific Computing, Departments of Mathematics and Applied Mathematics, University of Crete (20052008).
 Master thesis: On the use of Genetic Algorithms and a statistical characterization of the acoustic signal for tomographic and bottom geoacoustic inversions (in Greek).
 Supervisor : Michael Taroudakis.
 PhD in Applied Mathematics, Department of Mathematics and Applied Mathematics, University of Crete (20122019).
 PhD thesis : Acoustic Signal Characterization using Hidden Markov Models with applications in Acoustical Oceanography.
 Supervisor : Michael Taroudakis.
Teaching

Spring Semester 20212202: Course MEM 284  Wave Propagation

Spring Semester 20212022: Course MEM 205  Descriptive Statistics

Fall Semester 20212022: Course MEM 100  Analytical Geometry and Complex Numbers (in Greek)

Spring Semester 20202021: Course MEM 264  Applied Statistics (Lecture notes in English)

Spring Semester 20202021: Course MEM 205  Descriptive Statistics (in Greek)

Fall Semester 20202021: Course MEM 262  Parametric Statistics (in Greek)

Spring Semester 20192020: Course MEM 205  Descriptive Statistics (in Greek)
Employment
 2003/022003/06: Work Placement, Sensitivity Kernels of the Green function in Ocean Acoustic Waveguides, IACM/FORTH.
 Supervisor : Emmanuel Skarsoulis.
 20062008 and 20122019: Teaching Assistant at Department of Mathematics and Applied Mathematics.
 2013/092015/08: Research Fellow (KRHPIS/PEFYKA  General Secretariat for Research and Technology), IACM/FORTH.
 2016/012016/10: Research Fellow (SIEMENS  General Secretariat for Research and Technology), IACM/FORTH.
 2017/042018/04: Research Fellow (ARCHERS  Stavros Niarchos Foundation), IACM/FORTH.
 2018/082019/07: Research Fellow (KRHPIS/PERAN  General Secretariat for Research and Technology), IACM/FORTH.
 2019/082019/11: Postdoctoral Researcher (KRHPIS/PERAN  General Secretariat for Research and Technology), IACM/FORTH.
 2020/012020/03: Postdoctoral Researcher (KRHPIS/POLITEIA  General Secretariat for Research and Technology), IACM/FORTH.
 2020/022020/07: Adjunct Faculty (ΠΔ 407/80), Deptartment of Mathematics and Applied Mathematics, University of Crete.
 2020/10Today: Adjuct Faculty, Department of Mathematics and Applied Mathematics, University of Crete.
 2021/05Today: Postdoctoral Researcher (TURNKEY  HORIZON), Institute of Geodynamics, National Observaory of Athens.
Research Interests
 Seismology
 Ocean Acoustics
 Inverse Problems
 Probabilistic Models
 Pattern Recognition
 Signal Processing
 Reinforcement Learning
 Deep Learning
 Statistical Inference
 Information Theory
Technical Skills
 Programming Languages: Fortran, C, C++, Rust, Java, Python.
 Scientific Libraries: Numpy, Scipy, Scikitlearn, TensorFlow, Pandas, GSL, ObsPy
 Seismological Software: Seiscomp3, Instaseis, AxiSEM, Specfm2D
 Databases: MariaDB, SQLite
 Operating System: GNU/Linux (Fedora/RHEL and Gentoo).
 Software Containerization Platforms: DockerPodman, Conda, Virtualenv.
 Typesetting: LaTeX, OrgMode
Code
Research Mentorships

2019/09  2019/12: Assistant Mentor, Department of Mathematics and Applied Mathematics, University of Crete
 Olga Sambataro’s trainship (Erasmus+ EQF level 7)
 Underwater Acoustics, Propagation Modeling, Signal Processing

2020/03  2020/09: Supervisor, Department of Mathematics and Applied Mathematics, University of Crete
 Panteleimon Sfakianakis' bachelor thesis
 Applying Machine Learning Techniques for Preventive Maintenance of Professional Equipment
Peer Reviews for
 Journal of the Acoustical Society of America (JASA)
 Sensors  MDPI
 Dynamical Systems  Frontiers in Applied Mathematics and Statistics
 Sustainability  MDPI
Memberships
 (since 2014) Hellenic Institute of Acoustics (HELINA).
 (since 2018) Seismological Society of America (SSA).
 (since 2019) American Statistical Association (ASA) [ID 223078]
 (since 2019) Ocean Expert [ID 37775]
 (since 2020) Editorial Board of Dynamical Systems, Frontiers in Applied Mathematics and Statistics
 (since 2021) Topic Editor of Sustainability  MDPI
Publications
 2020: Smaragdakis C. and Taroudakis M.I.: “Acoustic signal characterization based on Hidden Markov Models with applications to geoacoustic inversions”, Journal of the Acoustical Society of America Vol. 148, pp 23372350.
 2020: Smaragdakis C. and Taroudakis M.I.: “Probabilistic Characterisation of Acoustic and Seismic Signals” ERCIM News 122, Special Theme: Solving Engineering Problems with Machine Learning, pp. 3536.
 2017: Taroudakis M., Smaragdakis C and Chapman N.R.: “Denoising procedures for inverting underwater acoustic signals in applications of acoustical oceanography” J. Comp. Acous. Vol. 25, 1750015 https://doi.org/10.1142/S0218396X17500151.
 2014: 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. EL336EL342.
 2013: Taroudakis M.I. and Smaragdakis C. “Inversions of statistical parameters of an acoustic signal in rangedependent environments with applications in ocean acoustic tomography” Journal of the Acoustical Society of America Vol. 134, pp 28142822.
 2009: 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 814822.
Conference Proceedings
 2021: Smaragdakis C., Melis N.: “Strong ground motion simulation in the near field: An application to the M7.0 Samos 2020 earthquake”, 37th General Assembly of the European Seismological Commission, 19  24 Semtember 2020, virtual.
 2020: Sambataro O., Smaragdakis C. and Taroudakis M.: “A comparison of processing techniques applied to timefrequency representation of acoustic signals intended for geoacoustic inversions” in Proceedings eForum Acusticum 2020, pp 17691775.
 2019: Smaragdakis C., Taroudakis M. “Acoustic Signal Characterization using Hidden Markov Models with applications in Acoustical Oceanography.”, Abstract in Proceedings ICA 2019 and EAA Euroregio, 9  13 September 2019, Aachen, Germany, pp 5399
 2018: Smaragdakis C., Mastrokalos J. and Taroudakis M. “Classification of acoustic and seismic signals based on the statistics of their wavelet subband coefficients”, The Journal of the Acoustical Society of America 144(3):19141914 DOI: 10.1121/1.5068386.
 2018: Taroudaki V., Taroudakis M. and Smaragdakis C. “Statistical optimal filtering method for acoustical signal deblurring”, The Journal of the Acoustical Society of America 144(3):16891689 DOI: 10.1121/1.5067509
 2018: Smaragdakis C., Taroudakis M. “Similarity measurements of acoustical and seismic signals using Hidden Markov Models”, In Proceedings of 5th Acoustic Conference of HELINA, Patras (In Greek)
 2017: Smaragdakis C. and Taroudakis M. : “A probabilistic approach based on Hidden Markov Models for the estimation of the geoacoustic parameters of the sea bottom”, 4th Underwater Acoustics Conference and Exhibition, Skiathos, Greece.
 2017: Taroudaki V., Smaragdakis C. and Taroudakis M. “Statistical NearOptimal Filtering Method with Application to Underwater Acoustics”, Abstract of Paper Procedings in AMS Meetings, Vol 38 No 1, Issue 187, p 220.
 2016: Taroudaki V., Smaragdakis C. and Taroudakis M. “Deblurring acoustic signals for statistical characterization in application of ocean acoustic tomography” in the Journal of the Acoustical Society of America 140(4):31353135.
 2016: Taroudakis M. and Smaragdakis C. “Ocean acoustic tomography using a threephased probabilistic modelbased inversion scheme” in Proceedings of the ICA 2016, Buenos Aires.
 2016: Smaragdakis C. and Taroudakis M. “Hidden Markov Models feature extraction for inverting underwater acoustic signals using wavelet packet coefficients”, EuroRegio2016, Porto, Portugal.
 2016: Smaragdakis C., Taroudakis M. “Ocean acoustic tomography using a threephased probabilistic modelbased inversion scheme”, In Proceedings of the 4th Acoustic Conference of HELINA, Piraeus (In Greek).
 2015: Taroudakis M. and Smaragdakis C. “Denoising procedures for inverting underwater acoustic signals in applications of acoustical oceanography” in Proceedings of EuroNoise 2015 31 May  3 June, Maastricht.
 2014: Taroudakis M. and Smaragdakis C. “A hybrid approach for ocean acoustic tomography in range dependent environments based on statistical characterization of the acoustic signal and the identification of modal arrivals” in Proceedings of FORUM ACUSTICUM 2014 (CD edition), Krakow, Poland.
 2014: Smaragdakis C and Taroudakis M. “Characterization of underwater acoustic signals, using a biomathematical model of the psychoacoustic mechanisms of Humpback whales.” in Proceedings of 7th Acoustic Conference of HELINA, Thessaloniki (In Greek).
 2014: Taroudakis M. and Smaragdakis C. “A hybrid approach for ocean acoustic tomography based on statistical characterization of the acoustic signal and the identification of modal arrivals” in Proceedings of the 2nd Underwater Acoustics Conference edited by J.S. Papadakis and L. Bjorno, Rhodes, Greece, pp 691698.
 2012: Taroudakis M. and Smaragdakis C. : “Inversions of Statistical Parameters of an Acoustic Signal in RangeDependent Environments, with Applications in Ocean Acoustic Tomography” in Proceedings of the 11th European Conference on Underwater Acoustics, Edinburgh, pp 962969.
 2010: Papadakis P., Smaragdakis C., Taroudakis M. and Tolstoy A.: “Hybrid inversion techniques for geoacoustic inversion” in Proceedings of the 9th European Conference on Underwater Acoustics, Istanbul.
 2010: Taroudakis M. and Smaragdakis C. : “Underwater Acoustic Signal Characterization in the presence of Noise”, in Internoise 2010, CD Rom edition, Lisbon.
Invited lectures
 28/04/2021  Eastern Washington University : “Characterization of TimeSeries using Hidden Markov Models” talk_ewu.pdf