Mukesh Tiwari

Mukesh Tiwari
PhD (Optical Science & Engineering), University of New Mexico, USA
079-68261614 mukesh_tiwari[at]daiict[dot]ac[dot]in

Mukesh Tiwari is currently working as an Associate Professor at DA-IICT. He joined the institute in 2009. Prior to this, he completed his M.Sc. in Physics from the Indian Institute of Technology, Delhi and PhD from the University of New Mexico, working with Nitant Kenkre. His primary research interest is in non-equilibrium statistical mechanics and nonlinear dynamics. His current research directions are in impact propagation, absorption and dispersion in structured and amorphous granular materials, architectured granular systems for impact decimation and aspects of processes on networks with applications to social science. His earlier work explored quasi particle motion in classical and quantum mechanical systems to gain understanding of friction at microscopic scale, polaron transport etc.

Non-equilibrium Statistical Mechanics and Nonlinear Dynamics

  • M. Tiwari and V. M. Kenkre, Approach to Equilibrium of a Nondegenerate Quantum System: Decay of Oscillations and Detailed Balance as Separate Effects of a Reservoir, Eur. Phys. J. B,87, 4(2014)(doi: 10.1140/epjb/e2014-40891-0)
  • Mukesh Tiwari, T R Krishna Mohan and Surajit Sen, Drag force regimes in granular Impact, Physical Review E 90, 062202 (2014). (doi: 10.1103/PhysRevE.90.062202)
  • Mukesh Tiwari, T. R.  Krishna Mohan, Surajit Sen, “Decorated granular layers for impact decimation”, Granular Matter 18, 1–5 (2016). (doi: 10.1007/s10035-016-0652-y)
  • Surajit Sen, T. R. Krishna Mohan, Mukesh Tiwari “Impact Dispersion Using 2D  and 3D Composite Granular Packing”, KONA Powder and particle journal 34248- 257 (2017). (doi: 10.14356/kona.2017014)
  • Mukesh Tiwari, T. R. Krishna Mohan, and Surajit Sen, “Impact decimation using alignment of granular spheres,” International Journal of Modern Physics. B,  31, 1742012, (2017). (doi: 10.1142/S0217979217420127)
  • Modeling and Simulation
  • Nonlinear Dynamics
  • Introduction to Complex Networks
  • Electromagnetic Theory
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