As long as I live so long will I learn - Sri Ramakrishna

Shamik Gupta

Name: Shamik Gupta

Area of Research: Statistical Physics, Non-linear Dynamics

Contact address:


Link to personal webpage:

Education and Employment:

Faculty (2016-Present): RKMVERI

Visiting Scientist (2015-2016): Max Planck Institute for the Physics of Complex Systems, Dresden, Germany

Visiting Scientist (2014-2015): University of Florence, Florence, Italy

Postdoctoral Scholar (2012-2014): Université Paris-Sud, Paris, France

Postdoctoral Scholar (2011-2012): École normale supérieure de Lyon, Lyon, France

Postdoctoral Scholar (2008-2011): Weizmann Institute of Science, Rehovot, Israel

Ph. D. (2008): Tata Institute of Fundamental Research, Mumbai, India

M.Sc. (Physics,First Class)(2002): University of Calcutta, Kolkata, India

B.Sc. (Physics Hons., First Class)(2000): Presidency College, Kolkata, India

5 Selected Recent Publications

  • Dynamical origin of non-thermal states in galactic filaments, Pierfrancesco Di Cintio, Shamik Gupta and Lapo Casetti, Mon. Notices Royal Astron. Soc. 475, 1137 (2018)

  • Spontaneous collective synchronization in the Kuramoto model with additional non-local interactions, Shamik Gupta, J. Phys. A: Math. Theor. 50, 424001 (2017), Special Issue “Emerging Talents”

  • Path-integral formalism for stochastic resetting: Exactly solved examples and shortchuts to confinement, Édgar Roldán and Shamik Gupta, Phys. Rev. E 96, 022130 (2017)

  • Out-of-equilibrium fluctuations in stochastic long-range interacting systems, Shamik Gupta, Thierry Dauxois and Stefano Ruffo, EPL 113, 60008 (2016)

  • Diffusion with stochastic resetting at power-law times, Apoorva Nagar and Shamik Gupta, Phys. Rev. E 93, 060102(R) (2016)

Complete list of publications available at

Research Interests

My field of research is Statistical Physics and Nonlinear Dynamics. A system of a large number of interacting particles often displays a variety of emergent phenomena that are qualitatively different from the behavior of a single or a few particles. Prominent examples are magnetism, spontaneous synchronization (think of the pacemaker cells of the heart all spontaneously sending out synchronized electrical signals to contract the heart), etc. In such systems, the behavior often changes suddenly and dramatically as external tuning parameters like temperature, magnetic field, etc. are varied. Statistical mechanics provides the right (and the only) framework to understand and predict the static and dynamic properties of these systems.

Over the years, I have worked on a wide spectrum of topics in statistical physics and nonlinear dynamics: stochastic processes, fluctuation theorems, quantum dynamics, synchronization phenomena, and long-range interacting systems on which I have worked extensively. Applications of my work have been to areas such as astrophysical, condensed matter and biological systems. An underlying theme of my work is characterization of statics and dynamics of complex systems and study of how long-range interactions and/or correlations lead to emergent behaviors in such systems.

Current PhD students:

Debraj Das