Research Interests: Bayesian (Nonparametric) Statistics, Nonlinear (Random) Dynamical Systems, Statistical Machine Learning.

Publications

• T Bountis, K Kaloudis, J Shena, C Skokos, C Spitas (2022): “Energy transport in one-dimensional oscillator arrays with hysteretic damping”, The European Physical Journal Special Topics 231 (3), 225-236.

• J. Shena, K. Kaloudis, C. Merkatas, C., M.A. Sanjuán (2021): “On the approximation of basins of attraction using deep neural networks”. Submitted.

• S. Kadyrov, A. Kashkynbayev, P. Skrzypacz, K. Kaloudis, T. Bountis (2021): “Periodic solutions and the avoidance of pull-in instability in non-autonomous MEMS”, Mathematical Methods in the Applied Sciences.

• T. Oikonomou, K. Kaloudis, B. G. Bagci (2021): “q-exponentials do not maximize the Renyi entropy”, Physica A: Statistical Mechanics and its Applications, 126126.

• K. Kaloudis, G. A. Kevrekidis, H. C. Maltezou, C. Anastassopoulou, A. Tsakris, L. Russo (2020): “Estimation of the effective reproduction number for SARS-CoV-2 infection during the first epidemic wave in the metropolitan area of Athens, Greece ”, Submitted.

• T. Bountis, K. Kaloudis, T. Oikonomou, B. Many Manda, Charalampos Skokos (2020): “Stability Properties of 1-Dimensional Hamiltonian Lattices with Non-analytic Potentials”, Int. J. Bifurc. Chaos 30 (15), 2030047.

• T. Bountis, K. Kaloudis, C. Spitas (2020): “Periodically Forced Nonlinear Oscillators With Hysteretic Damping”, Journal of Computational and Nonlinear Dynamics, 15 (12), 121006.

• S. J. Hatjispyros, K. Kaloudis (2019): “A Bayesian nonparametric approach to the approximation of the global stable manifold”, Chaos 29, 123123.

• K. Kaloudis, S. J. Hatjispyros (2018): “A Bayesian nonparametric approach to dynamical noise reduction”, Chaos 28, 063110.

• C. Merkatas, K. Kaloudis, S. J. Hatjispyros (2017): “A Bayesian nonparametric approach to reconstruction and prediction of random dynamical systems”, Chaos 27, 063116.

Theses

• PhD Thesis: “Bayesian Methods and Estimation of Nonlinear Dynamical Systems”, Advisor: Prof. S.J. Hatjispyros.

• MSc Thesis: “Bayesian Parametric Estimation of Discrete Time Random Dynamical Systems”, Advisor: Prof. S.J. Hatjispyros.

Selected Talks-Presentations

• K. Kaloudis (2022): “On the approximation of basins of attraction using deep neural networks”, 19th e-Summer School in Stochastic Finance, AUEB.

• K. Kaloudis, T. Bountis, C. Spitas (2022): “Energy Transport in 1-Dimensional Oscillator Arrays with Hysteretic Damping” , 28th Summer School-Conference on Dynamical Systems and Complexity, Chania, Greece, Online conference.

• K. Kaloudis (2021): “Random dynamical systems: A Bayesian approach”, 18th e-Summer School in Stochastic Finance, AUEB.

• K. Kaloudis, L. Russo, C. Siettos (2020): “Modeling pedestrians and autonomous vehicle dynamics”, Dynamics Days Digital 2020.

• K. Kaloudis, T. Bountis, C. Spitas (2020): “Periodically Driven Nonlinear Reid Oscillators”, VI Dynamics Days Central Asia, Nur-Sultan, Kazakhstan.

• K. Kaloudis, S. J. Hatjispyros (2019): “A Bayesian nonparametric approach to the approximation of the global stable manifold”, XXXIX Dynamics Days Europe, Rostock, Germany.

• S.J. Hatjispyros, K. Kaloudis, C. Merkatas (2018): “Random Dynamical Systems: A Bayesian Approach”, 15th Summer School in Stochastic Finance , Athens University of Economics and Business, Greece.

• S. J. Hatjispyros, K. Kaloudis, C. Merkatas (2017): “Reconstruction, Prediction & Noise Reduction: A Bayesian nonparametric approach”, 24th Summer School-Conference on Dynamical Systems and Complexity, University of Thessaly, Greece.

• K. Kaloudis, S. J. Hatjispyros (2016): “A Bayesian approach to dynamical noise reduction”, XXXVI Dynamics Days Europe, Corfu, Greece.

• S.J. Hatjispyros, K. Kaloudis, C. Merkatas (2015): “Bayesian Reconstruction of Nonlinear Dynamical Systems”, 12th Summer School in Stochastic Finance, Athens University of Economics and Business, Greece.

Posters

• S.J. Hatjispyros, K. Kaloudis, C. Merkatas (2015): “Bayesian Reconstruction of Higher Dimensional Nonlinear Dynamical Systems”, 28th Panhellenic Conference in Statistics, Athens, Greece

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