activity
20182025
most citedChatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector

17 citations · 47 across the 14 of their papers we have counts for

collaborators

27 papers

physics.flu-dyn2025

P-Bifurcations in Stochastic Flutter Model Under Turbulence

Sunia Tanweer, Firas A. Khasawneh

Aeroelastic flutter represents a critical nonlinear instability arising from the coupling between structural elasticity and unsteady aerodynamics. In deterministic settings, flutte…

cs.CG2025

The Walk-Length Filtration for Persistent Homology on Weighted Directed Graphs

David E. Muñoz, Elizabeth Munch, Firas A. Khasawneh

Directed graphs arise in many applications where computing persistent homology helps to encode the shape and structure of the input information. However, there are only a few ways…

math.DS2025

Dynamical System Parameter Path Optimization using Persistent Homology

Max M. Chumley, Firas A. Khasawneh

Nonlinear dynamical systems are complex and typically only simple systems can be analytically studied. In applications, these systems are usually defined with a set of tunable para…

q-bio.QM2025

Use of Topological Data Analysis for the Detection of Phenomenological Bifurcations in Stochastic Epidemiological Models

Sunia Tanweer, Konstantinos Mamis, Firas A. Khasawneh

We investigate predictions of stochastic compartmental models on the severity of disease outbreaks. The models we consider are the Susceptible-Infected-Susceptible (SIS) for bacter…

cs.LG2025

Hall Effect Thruster Forecasting using a Topological Approach for Data Assimilation

Max M. Chumley, Firas A. Khasawneh

Hall Effect Thrusters (HETs) are electric thrusters that eject heavy ionized gas particles from the spacecraft to generate thrust. Although traditionally they were used for station…

nlin.CD2024

Topological Approach for Data Assimilation

Max M. Chumley, Firas A. Khasawneh

Many dynamical systems are difficult or impossible to model using high fidelity physics based models. Consequently, researchers are relying more on data driven models to make predi…