For publications please look into my Google Scholar
What is a stochastic process ? Why learn it?
This has been best explained by Obama in the video on the right side/below. Simply put, it is a random process. There are plenty of stochastic processes that we encounter in our day-to-day life. For instance, when you are searching randomly for the lost smartphone/key, tossing a coin to decide who will go first, kicking the football randomly without seeing if there is anyone to receive it, etc. I believe every process we can imagine is random on a certain timescale. For example, you go to lunch at 1 P.M. every day. But if I ask, at what minutes and what seconds exactly, that has to be random. Naively, one might not be bothered so much by such randomness since, unlike Newton's laws, no prediction could be made to exactly determine the process's future. However, one can always predict the future outcome of the process on a proababilistic level with the help of the theory of stochastic processes. For e.g., no one can predict the stock market's movement, yet physicists, economists, and mathematicians greatly rely on the theory of stochastic processes to predict the market's nature. Biological processes such as DNA assembly and RNA transcription have the theory of stochastic processes in their core. Furthermore, the recent development of artificial intelligence (AI) is nothing but a niche application of the theory of stochastic processes. Thus, we need to have an in-depth understanding of stochastic processes.
"Start again, this time you may be successful" - this is not only a Grandfather's advice but also a Physicist's way of handling random stuff, and can be mathematically proven to be effective! When you randomly search for something, it is highly possible that you are going in a completely wrong direction from where you should go actually. Thus restarting again can prevent you from being lost forever where there is no hope of target finding. But restarting too much is not good though as it does not even allow you to take any step towards the target. So what to do then? I study stochastic process under resetting so that I can answer this question.
Fig: Suppose you are searching for some hidden treasures (target - in the figure) around your home. You start searching for it here and there (the green lines being your trajectory). Some days you will be lucky to find the treasures and have a party. However, many days will be there when your search may be fruitless and then being exhausted you need to come back home (the dashed line) empty-handed. You take some rest in your home and start searching the next day. In scientific language, this is called `'resetting', that you come back to the starting position and restart again.
You can ask, why did you need to reset or come back home? The answer is, simply to enhance the search efficiency (so you do not kill yourself being lost in some jungle far away from your some or die out of hunger). Thus 'restarting' is not always bad. But can you prove that mathematically? Yes, and there comes my research on `stochastic resetting'.
Current members of our group at IMSc with the leader standing behind ;)
1) Reviewer: Physical Review E, Physical Review Letters, Physical Review Research
2) Teaching Assistant for the course: Computational Physics, 2023, IMSc. Course instructor: Dr. Sayantan Sharma
3) Teaching Assistant for the course: Stochastic Processes, 2023, 2025, IMSc. Course instructor: Dr. Arnab Pal
4) Volunteered in organizing: IMSc 60 conference (2023), Frontiers in Non-equilibrium Physics conference (2023), Science at the Sabha (2023), Science at the Sabha (2024), Amal Kumar Raychaudhuri Centenary conference (2024), Chennai Soft Matter Days conference (2024)
5) Organizers: Statistical Physics Journal Club, IMSc
6) Student representative in the computer committee, IMSc