IISc Bangalore

Anagha Madhusudanan

Inspire Faculty

Name: Anagha Madhusudanan

Title: DST-INSPIRE Faculty Fellow

Email: anagham@iisc.ac.in

Office room number: 142

Google Scholar link: https://scholar.google.com/citations?user=ggtNNO8AAAAJ&hl=en



University of Melbourne                                                                               February 2016 – June 2020

PhD, Mechanical Engineering

Fields: Fluid mechanics, linearized Navier-Stokes equations


University of Bristol                                                               September 2013 – September 2014

MSc Mathematical Sciences

Fields: Fluid mechanics, Dynamical systems theory


University of Delhi                                                                                                 July 2010 – April 2013

BSc (H) Physics


University of Cambridge                                                                                  January 2022-April 2023

INI-Simons Postdoctoral fellow


California Institute of Technology                                                           August 2020 – December 2021

Postdoctoral Scholar in Aerospace Engineering

Research Interests

Turbulent flows, reduced order modelling techniques like proper-orthogonal-decomposition (POD) or Dynamic mode decomposition (DMD), Linearized Navier-Stokes equations, Resolvent analysis, Wavelet analysis.

Research Statement

Dr. Madhusudanan’s research centers on the modelling of turbulent fluid flows, with the overarching goal of obtaining reduced-order (i.e. low-rank) models for these dynamic systems. The computational efficiency of such models holds the potential for a range of practical applications. Additionally, the process of obtaining such models involves filtering out crucial flow mechanisms from the overall complexity of the flow. While refining our models, this process also enhances our understanding of the governing flow mechanisms.

In this work, a diverse array of techniques is employed to construct these models, encompassing equation-based techniques such as linear and non-linear modelling, as well as data-driven techniques such as proper orthogonal decomposition, dynamic mode decomposition, wavelet analysis, and more. Recent projects undertaken by Dr. Madhusudanan involve using reduced-order models to understand turbulent flows impacted by different real-world physical mechanisms, including but not limited to rotation, stratification, boundary conditions.

This will be updated soon.



This will be updated soon.