Welcome
I am Dr. Anisha Kashyap, a Research Scientist-I at the Biotechnology Research and Innovation Council – National Brain Research Centre (BRIC-NBRC). My research focuses on nonlinear dynamics and complex systems, with applications across neuroscience, astrophysics, and biology. I employ recurrence quantification analysis (RQA), nonlinear time-series analysis, and network-based methods to investigate dynamical behavior in complex systems.
I completed my Ph.D. in Physics from the University of Mumbai, where I modeled the swaying motion of branched structures like trees using analytical, numerical, and experimental approaches. My doctoral work involved Lagrangian modeling, chaos and synchronization studies, and time series analysis of real wind tunnel data. During my postdoctoral work at IUCAA, I applied recurrence analysis and machine learning to classify eclipsing binaries and identify early warning signals in astrophysical transients. My current research extends these approaches to intracranial EEG (iEEG) data to study sleep-related brain-state transitions.
With experience spanning theoretical modeling, numerical simulation, and data analysis, I explore complexity across natural and cosmic systems.
"From the rhythm of a swaying tree to the heartbeat of a distant binary star, I explore complex patterns across nature and the cosmos."