Room 204, School of Arts and Sciences
Central Campus
Stopping a process in its midst, only to start it all over again, may prolong, leave unchanged, or even shorten the time taken for its completion. Among these three possibilities the latter is particularly interesting as it suggests that resetting can be used to expedite the completion of non-equilibrium processes which otherwise would hinder. I will introduce the problem of resetting using the example of simple diffusion, but will then explain why many unknowns compel us to generalise to arbitrary stochastic processes and resetting mechanisms. I will then demonstrate how the framework developed herein can serve as a universal platform to understand the efficiency of biochemical reactions, generic macroscopic & microscopic search processes, and to design performance and optimisation of queuing systems.
Arnab Pal currently holds the Reader position at the Institute of Mathematical Sciences (IMSc), Chennai, working in non-equilibrium statistical physics and stochastic processes. Before joining IMSc, he briefly served as an Assistant Professor at IIT Kanpur. He earned his PhD from Raman Research Institute and held postdoctoral fellowships in Israel. His research work combines theoretical modeling, numerical and data analysis to explore stochastic complex phenomena, fluctuation-driven dynamics and energy dissipation in small-scale systems in physics, chemistry, and biology.