G. Akrivis, C. G. Makridakis, C. Smaragdakis: Runge-Kutta Physics Informed Neural Networks: Formulation and Analysis. Preprint and submitted for publication, 2024. [pdf, arXiv:2412.20575]

E.H. Georgoulis, A. Papapantoleon, C. Smaragdakis: A deep implicit-explicit minimizing movement method for option pricing in jump-diffusion models. Preprint and submitted for publication, 2024. [pdf, arXiv:2401.06740]

Smaragdakis C, Taroudaki V, Taroudakis M.I.: Using machine learning techniques in inverse problems of acoustical oceanography. Studies in Applied Mathematics. ;e12704.https://doi.org/10.1111/sapm.12704 , 2024.

Papadakis N, Taroudakis M., Dimari G, Smaragdakis C. and Kosmadakis N.: The Absence of a Rationalized Migration Data Policy in Greece and the Discontinuity of Greek Migration Policy: A Glance at the First Results of the PreMiGro Project HAPSc Policy Briefs Series, 4(2), 45–54. https://doi.org/10.12681/hapscpbs.36660 , 2024.

Taroudaki V., Smaragdakis C. and Taroudakis M.I.: Deblurring Acoustic Signals for Optimum Perception Advances in Social Sciences Research Journal, 9(11), 221-242, 2022.

Smaragdakis C., Mastrokalos J. and Taroudakis M.I.: Statistical Characterization of Seismic Signals Journal of Theoretical and Computational Acoustics. DOI: 10.1142/S25917285225000-49, 2022.

• Scientific Computing,
• Mathematical Modelling,
• Numerical Analysis,
• Deep Learning