Evangelia Kalligiannaki
Address: Nikolaou Plastira 100, Vassilika Vouton,
GR 700 13 Heraklion, Crete, GREECE
Office: C-215
Phone: +302810391891
e-mail: ekalligiannaki at aegean.gr
evangelia.kalligiannaki at iacm.forth.gr
Education
2007 Ph.D, Applied Mathematics,
Department of Applied Mathematics, University of Crete, Greece.
2002 M.S. in Applied Mathematics,
Department of Applied Mathematics, University of Crete, Greece
1999 B.Sc. in Mathematics,
Department of Mathematics, University of Crete, Greece.
Research Interests
Stochastic processes and applications.
Stochastic simulations. Monte Carlo methods.
Multi-scale modeling. Uncertainty quantification. Variational inference.
Statistical mechanics. Interacting particle systems. Molecular dynamics.
Semiclassical asymptotics, high frequency fields near caustics.
Awards & Grands
Hellenic Foundation for Research and Innovation (H.F.R.I.), 2018
Research projects for postdoctoral researchers.
Funding: 170.000 €.
Teaching
Stochastic processes, (online, zoom platform )
Undergraduate course, Spring 2021.
Department of Mathematics and Applied Mathematics, University of Crete, Greece. Course websiteInference for Stochastic Differential Equations, Uncertainty Quantification, and Machine Learning with applications in Molecular Systems. Graduate course. Spring 2020.
with Vagelis Harmandaris, Department of Mathematics and Applied Mathematics, University of Crete, Greece. Course website
Publications
G Baxevani, V Harmandaris, E Kalligiannaki, I Tsantili. Bottom-up transient time models in coarse-graining molecular systems. SIAM MMS, Vol. 21, Iss. 4, 1746-1774, (2023), 10.1137/23M1548451, arXiv:2302.05159
T. Jin, A. Chazirakis, E. Kalligiannaki, V. Harmandaris, and M. Katsoulakis. Data-driven Uncertainty Quantification for Systematic Coarse-grained Models. Soft Materials 18(2-3) 348-368, 2020. doi: 10.1080/1539445X.2020.1765803
V. Harmandaris, E. Kalligiannaki, M. A. Katsoulakis, Computational Design of Complex Materials Using Information Theory: from Physics-to Data-driven Multi-scale Molecular Models, ERCIM News 115, 19-20 , 2018.
E. Kalligiannaki, A. Chazirakis, A. Tsourtis, M. Katsoulakis, P. Plechac, V. Harmandaris, Parametrizing coarse grained models for molecular systems at equilibrium, EPJ ST, 225(8), 1347-1372, 2016, dx.doi.org/10.1140/epjst/e2016-60145-x.
V. Harmandaris, E. Kalligiannaki, M. Katsoulakis and P. Plechac, Path-space variational inference for non-equilibrium coarse-grained systems, J.Comp. Phys.,314(1), 2016, 355-383, doi:10.1016/j.jcp.2016.03.021, arXiv:1508.00289.
E. Kalligiannaki, V. Harmandaris, M. Katsoulakis, P. Plechac, The geometry of force matching in coarse graining and related information metrics, J. Chem. Phys., doi:10.1063/1.4928857, arXiv:1504.02152.
E. Kalligiannaki, M. Katsoulakis, P. Plechac, Spatial multi-level interacting particle simulations and information theory-based error quantification, SIAM J. Sci. Comput. 36-2, 2014, A634-A667, doi:10.1137/120887060, arXiv:1208.0730.
E. Kalligiannaki, M. Katsoulakis, P. Plechac, D. Vlachos, Multilevel coarse graining and nano-pattern discovery in many particle stochastic systems, J. Comp. Phys., 231(6), 2012, 2599-2620. doi:10.1016/j.jcp.2011.12.011, arXiv:1109.0459.
E. Kalligiannaki, M. Katsoulakis, P. Plechac, Coupled coarse graining and Markov Chain Monte Carlo for lattice systems, "Numerical Analysis of Multiscale Computations", Eds: B. Engquist, O. Runborg, Y R. Tsai, Lect. Notes Comput. Sci. Eng. 82, 2011, 235-257, arXiv:1006.3781.
E. Kalligiannaki, G.N. Makrakis, Conservation equations for the semiclassical Schrodinger equation near caustics, Appl. Anal., 86(8), 2007, 917-944. doi:10.1080/00036810701355000.
E. Kalligiannaki, Th. Katsaounis, G.N. Makrakis, High frequency waves near cusp caustics, Quart. Appl. Math., 61(1), 2003, 111-129.
In conference proceedings
”Efficiency evaluation and comparisons of solar cell technologies based on measurements from the Arabian peninsula”, Y. Pantazis, E. Kalligiannaki, Y. Kamarianakis, K. Kotsovos, I. Gereige, M. Abdullah, A. Jamal, A. Tzavaras and T. Katsaounis, EuroSun, 2022
“KNN-based ensembles for day-ahead solar power output forecasting," Y. Kamarianakis, Y. Pantazis, E. Kalligiannaki, T. Katsaounis, K. Kotsovos, I. Gereige, M. Abdullah, A. Jamal, and A. Tzavaras, EuroSun, 2022
”Performance evaluation and comparison of solar cell technologies based on historical data,” Y. Pantazis, E. Kalligiannaki, Y. Kamarianakis, K. Kotsovos, I. Gereige, M. Abdullah, A. Tzavaras, and T. Katsaounis, 8th World Conference on Photovoltaic Energy Conversion, 2022, 10.4229/WCPEC-82022-3BV.3.28
“Day-ahead forecasting of solar irradiance: KNN-based ensembles”, Y. Kamarianakis, Y. Pantazis, E. Kalligiannaki, K. Kotsovos, I. Gereige, M. Abdullah, A. Tzavaras and T. Katsaounis, 8th World Conference on Photovoltaic Energy Conversion, 2022, 10.4229/WCPEC-82022-4BV.4.1
A. Chazirakis, V. Kirieri, E. Sarris, E. Kalligiannaki, V. Harmandaris. Neural Network Potential Surfaces: A comparison of two approaches. Procedia Computer Science, 148, 345-354, 2020, 10.1016/j.procs.2020.11.036 .
V. Harmandaris, E. Kalligiannaki, M. Katsoulakis, Systematic Coarse-Grained Models for Molecular Systems Using Entropy, Proceedings 2020, 46(1), 27 doi:10.3390/ecea-5-06710.
G. Baxevani, E. Kalligiannaki, V. Harmandaris, Study of the transient dynamics of coarse-grained molecular systems with the path-space force-matching method, Procedia Computer Science, 156, 59-68, 2019, 10.1016/j.procs.2019.08.180.
E. Kalligiannaki, M. Katsoulakis and P. Plechac, V. Harmandaris, Path space force matching and relative entropy methods for coarse-graining molecular systems at transient regimes. Procedia Computer Science, 136, 331-340, 2018, doi:10.1016/j.procs.2018.08.281
S. Elkantassi, E. Kalligiannaki and R. Tempone. Inference and sensitivity for stochastic wind power forecast models. UNCECOMP 2017, 2nd ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering, Rhodes Island, Greece, 15-17 June 2017, doi:10.7712/120217.5377.16899.
V. Harmandaris, E. Kalligiannaki, M. Katsoulakis and P. Plechac. From Atomistic to Systematic Coarse-Grained Models for Molecular Systems. UNCECOMP 2017, 2nd ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering, Rhodes Island, Greece, 15-17 June 2017, doi:10.7712/120217.5378.17211.