Kaustubh Manchanda
Areas of Interest & Expertise
- Dynamical Models
- Graph Theory
- Collective Phenomenon
- Algorithmic Thinking
- Computational Neuroscience
Biography
I joined the University in January 2019 and I teach Physics, Mathematics and Programming in the School of Arts and Sciences.
Prior to this, I was teaching at the Post Graduate Department of Physics in Vijaya College, Bangalore University.
I finished my PhD from the School of Physical Sciences, Jawaharlal Nehru University in 2013. I worked as a DS Kothari Postdoctoral fellow at the Department of Mathematics, Indian Institute of Science (2014−2017).
I have extensively worked with automata models to understand simple neuronal dynamics in networks of neurons. In my recent work, I (along with my co-authors) review and outline some of the key results and findings in the field of generalised synchronisation, a fundamental phenomenon observed in nonlinear dynamics.
I love to travel and indulge in local cuisines and adventure activities. I practice Buddhism and enjoy reading spiritual books.
Courses
Mathematical Methods in Physics 1
Experimental Foundations: Perform experiments that were significant milestones in the development of physics.
Nonlinear Dynamics
Exploring dynamics of proteins, fireflies, pendulums and more!
Mathematics for Physics II
Everyday math for a physicist!
Introduction to Programming
Helping you explore programming with depth.
Mathematical Methods in Physics
The importance of calculus in Physics.
Publications
Journal Articles
- Manchanda, K., & Ramaswamy. R. (2011). An order parameter for the transition from strong to weak generalized synchrony from empirical mode decomposition analysis. Physical Review E, 83, 066201(1) — 066201(6). https://doi.org/10.1103/PhysRevE.83.066201
- Manchanda, K., Singh, T. U., & Ramaswamy, R. (2011). Dynamics of excitable nodes on random graphs. Pramana, 77, 803 — 809. https://link.springer.com/article/10.1007/s12043-011‑0180‑6
- Singh, T. U., Manchanda, K., Ramaswamy, R., & Bose A. (2011). Excitable nodes on random graphs: Relating dynamics to network structure. SIAM Journal of Applied Dynamical Systems, 10, 987 — 1012. https://epubs.siam.org/doi/abs/10.1137/100802864
- Manchanda, K., Yadav, A. C., & Ramaswamy, R. (2013). Scaling behavior in probabilistic neuronal cellular automata. Physical Review E, 87, 012704(1)- 012704(6). https://journals.aps.org/pre/abstract/10.1103/PhysRevE.87.012704
- Yadav, A. C., Manchanda, K., & Ramaswamy, R. (2017). Emergent organization in a market model. Physica A, 482, 118 — 126. https://www.sciencedirect.com/science/article/abs/pii/S0378437117303321
- Manchanda, K., Bose, A., & Ramaswamy, R. (2017). Collective dynamics in heterogeneous networks of neuronal cellular automata. Physica A: Statistical Mechanics and its Applications, 487, 111 — 124. https://doi.org/10.1016/j.physa.2017.06.021
- Jafri, H. H., Singh, T. U., & Manchanda, K. (2019). Revisiting generalized synchrony: Progress and perspectives. Indian Academy of Sciences Conference Series, 2(1), 39 – 54. 10.29195/iascs.02.01.0006
Ongoing project
- Mody, S.K., Manchanda, K., Rangarajan, G. (Ongoing). Granger causality analysis of sparse neuronal networks in monkey brain.