Vangelis Harmandaris

Vangelis Harmandaris

Vangelis Harmandaris is Professor at the Department of Mathematics and Applied Mathematics, University of Crete, and affiliated researcher at the Institute of Applied and Computational Mathematics, at the Foundation for Research and Technology – Hellas (IACM/FORTH). He is also Professor and ERA-Chair at “The Cyprus Institute” (CyI) in “Modelling and Simulation for Engineering Applications”. He got his diploma and PhD from the Chemical Engineering department in the University of Patras, Greece. Then, he was post-doctoral fellow and research associate at the Max Planck Institute for Polymer Research, Mainz, Germany. In 2009 he joined, as Assistant Professor, the Department of Applied Mathematics, University of Crete, where he is now full Professor. Since 2010 he is also collaborating researcher in the “Institute of Applied and Computational Mathematics”, Foundation for Research and Technology – Hellas.
His research interests concern on the development of mathematical and computational multi-scale methodologies for complex molecular systems and materials of scientific and technological interest. He leads the group of “Mathematical and Computational Modeling of Complex Molecular Systems” (MACOMMS) at the University of Crete/FORTH, and the SimEA group at the CyI.
He has been the author of more than 90 papers in refereed journals, 1 book, 3 chapters in books, and about 100 in refereed, and non-refereed, conference proceedings. His work has been presented more than 150 times (70 invited) in international conferences and academic and industrial institutions. As of June 2021, his articles have received (ISI, Web of Science) 3515 total citations (3082 non-self citations). His h-index is 31. He has been a Reviewer for a large number of International Journals, for the European Union, and for various institutions among which the National Science Foundation (USA), the European Science Foundation, and the PRACE (Partnership for Advanced Computing in Europe). He has also been the Organizer of more than 20 International workshops and conferences.
Vangelis
Harmandaris
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Department of Mathematics and Applied Mathematics, University of Crete, GR-70013, Voutes, Heraklion, Greece
+302810393735
A. F. Behbahani, et al “Dynamics and Rheology of Polymer Melts via Hierarchical Atomistic, Coarse-grained, and Slip-spring Simulations” Macromolecules, 2021, 54, 6, 2740–2762, http://dx.doi.org/10.1021/acs.macromol.0c02583 (Chosen as back-cover).
E. Gkolfi, P. Bačová, and V. Harmandaris, “Size and shape characteristics of polystyrene and poly(ethylene oxide) star-shaped melts studied by atomistic simulations”, Macrom. Theor. Simul., 2021, 30(1), 2000067, https://doi.org/10.1002/mats.202000067 (Chosen as front-cover).
T. Jin, A. Chazirakis, E. Kalligiannaki, V. Harmandaris, M. Katsoulakis, “Data-driven uncertainty quantification for systematic coarse-grained models” Soft Materials, 2020, 18:2-3, 348-368, https://doi.org/10.1080/1539445X.2020.1765803
P. Bačová, E. Glynos, S. Anastasiadis and V. Harmandaris, “Nanostructuring single-molecule polymeric nanoparticles via macromolecular architecture host”, ACS Nano, 2019, 13, 2, 2439-2449, https://doi.org/10.1021/acsnano.8b09374
E . Kalligiannaki, A. Chazirakis, A. Tsourtis, M. Katsoulakis, P. Plechac, V. Harmandaris, “Parametrizing coarse grained models for molecular systems at equilibrium”, Europ. Phys. J. Special Topics, 2016, 225, 1347–1372. doi: http://dx.doi.org/10.1140/epjst/e2016-60145-x
Mathematical Modeling and Machine Learning: Mathematical/Big data coarse-graining, stochastic processes, Bayesian statistics, applied probability, optimization algorithms, non-equilibrium methods, information metrics, statistical methods for analysis of big data, inverse problems.
Computational Modeling and Engineering: Hierarchical multi-scale modeling, atomistic simulations, mesoscopic modeling, molecular dynamics, Monte Carlo, Stochastic Brownian dynamics, field theory simulations, ab-initio DFT calculations, Non-equilibrium simulations.
Soft Condensed Matter: Structure-property relations of complex systems, hybrid complex systems, polymers, nanocomposites, polymer/solid interfaces, thin polymer films, graphene-based nanostructured materials, biomolecular systems, self-assembled monolayers (SAMs), proteins.
Statistical Mechanics: thermodynamics, non-equilibrium thermodynamics, rheology and microscopic modelling.