My students and I use laboratory populations of fruitflies as a system to address various questions falling under two main areas and also the interface between them: life-history evolution and population ecology. We also occasionally do supporting theoretical work that is rooted in our primary work which involves long-term experiments using laboratory selection or time-series of population sizes under different environments.

In recent years there has been an enormous interest in the emergent phenomena arising in strongly correlated systems in condensed matter physics. One such phenomenon is the giant magnetoelectric effect or the multiferroicity where the electric and magnetic orders coexist with a strong cross coupling. This renders the manipulation of magnetic ordering by the electric field or vice versa and thus attracted tremendous interest from the academic as well as technological fields.

Very recently a really attention- grabbing and very interesting project in the field of quantum technology titled “Exotic Quantum phase states driven through frustrated magnetism ” has been started by our lab.

Superconductivity—the ability of a material to transmit an electric current without loss—is a quantum effect that, despite years of research, is still limited to very low temperatures. Interest in finding new superconducting materials rather than convention oxide has been increased in recent years owing. Project at our lab focus on finding and understanding underlying physics for high temperature superconductors by varying pressure, magnetic field and chemical pressure (doping).

We have developed Time-dependent Exact Diagonalization (ED) and adaptive Time-dependent Density Matrix Renormaliation (t-DMRG) methods.

1. Using t-ED and t-DMRG, we study dipolar hardcore Bosonic and Fermionic systems to find onset and distance of various quantum exotic phases and phase transitions, including thermal and many-body systems and Anderson localisations when other interactions /disorder/impurity potential are turned on.

1.Calculating the total scattering time using Boltzmann Transport equation and estimating drift-diffusion mobility at various physical domains.

2. Estimating charge transport in molecular solids including diffusion and recombination currents, using electronic structure calculations, molecular dynamics , Monte Carlo simulations (finding appropriate photovoltaic devices or light-emitting diodes)

3. Inclusion of dynamic electric field and estimating the diffusion-mobility ratio, to predict whether the material is fit for light emission or transistor behaviours.

a) Non-histone nuclear proteins and chromatin dynamics