activity
20072026
most citedContinuous data assimilation for the magnetohydrodynamic equations in 2D using one component of the velocity and magnetic fields

23 citations · 60 across the 19 of their papers we have counts for

collaborators

27 papers

quant-ph2026

A Quantum Optimization Framework for Data-Assimilation-Augmented Parameter Estimation

Muhammad Jalil Ahmad, Mohammadhossein Mohammadisiahroudi, Animikh Biswas +1

Parameter estimation is a fundamental challenge in the calibration of ordinary differential equation (ODE) models, where repeated numerical integration can lead to high computation…

math.DS2026

Data Assimilation for Chemical Reaction Networks and Population Models via a Tunable Observer

Animikh Biswas, Gargi Chaudhuri, Muruhan Rathinam

We consider the problem of state reconstruction for a nonlinear dynamical system from observations of a linear function of the state. We present a design method for a tunable obser…

math.DS2026

A Data-Assimilation-Augmented Optimization Framework for Parameter Estimation in Dynamical Systems

Muhammad Jalil Ahmad, Animikh Biswas, Kathleen Hoffman

Parameter estimation in nonlinear dynamical systems from observational data is a fundamental inverse problem with applications in many disciplines. In practice, this is further com…

math.AP2026

Reformulation and Interpretation of the Regularity Criterion for 3D NSE Based on Finitely Many Observations

Abhishek Balakrishna, Animikh Biswas

We revisit and sharpen a recent observable regularity criterion for the three-dimensional Navier-Stokes equations on the periodic cube by requiring only finitely many measurements…

math.AP2024

A unified framework for the analysis of accuracy and stability of a class of approximate Gaussian filters for the Navier-Stokes Equations

Animikh Biswas, Michal Branicki

Bayesian state estimation of a dynamical system utilising a stream of noisy measurements is important in many geophysical and engineering applications. We establish rigorous result…

math.AP2022

A Novel Regularity Criterion For The three-dimensional Navier-Stokes Equations Based On Finitely many observations

Abhishek Balakrishna, Animikh Biswas

In this paper we present two results: (1) A data assimilation algorithm for the 3D Navier-Stokes equation (3D NSE) using nodal data, and, as a consequence (2) a novel regularity cr…