Dr Nick (Ebi) Dashti specialises in theoretical and computational statistical mechanics.

Ebi received his PhD in Statistical Physics from the Sharif University of Technology. He studied Critical Phenomena, Non-Equilibrium, and Complex Systems. One of his main goals was to find a connection between complex systems and the solvable models (percolation, Ising, O(n), Potts) using analytical (statistical and conformal field theories, stochastic processes) and computational (classical and quantum Monte Carlo, simulated annealing, stochastic non-linear differential equation, molecular dynamics) frameworks. 

In addition to this, he is interested in applying machine learning (ML) techniques to extract essential information from large amounts of data, either from experiments or simulations. There is a growing consensus that solutions to complex systems require novel methodologies that can integrate traditional physics-based modelling approaches with state-of-the-art ML techniques.

Nowadays he focuses on Non-Equilibrium systems and Molecular Dynamics using modern Statistical Mechanics methods within the Bernhardt Group at the AIBN.


​All academic degrees (BSc, MSc, and PhD) were supported by  Sharif University's scholarships.

Iran National Science Foundation grant (postdoctoral researcher at the University of Tehran):  study self-organized critical systems and experimental thin films.

KIAS grant, Research Fellow (2018-2020): Classification of Complex Systems.

KIAS grant, Research Fellow  (2020-2022): investigation of dynamic phase transition in granular materials using Machine Learning techniques.

Key Publications

H. Dashti, M. N. Najafi, H. Park, Self-repelling bipedal exploration process, Phys. Rev. E 104, 054135 (2021).

H. Dashti, A.A. Saberi, and Hyunggyu Park, Two-dimensional super-roughening in the three-dimensional Ising model, Physical Review E(Rapid Communication) 100, 060101 (2019).

A.A. Saberi, H. Dashti, and J. Krug, Competitive Universalities in the Kardar- Parisi-Zhang Growth Models, Physical Review Letters 122, 040605 (2019), highlighted as a cover of PRL.

H. Dashti, A.A. Saberi and S. Rouhani, Roughening transition and universality of single-step growth models in (2+1)-dimensions, New Journal of Physics, May (2017).

H. Dashti, A.A. Saberi and S. Rouhani, Classification of (2+1)-dimensional growing surfaces using Schramm-Loewner evolution, Phys. Rev. E 82, 020101(R) (2010).