Scholar

Firas Khasawneh

Google Scholar ID: OzmCkSkAAAAJ

Michigan State University

Nonlinear dynamicsvibrationstopological data analysisstabilitytime delay systems

Citations & Impact

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Citations

1,255

H-index

i10-index

Publications

Co-authors

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Publications

20 items

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Research Experience

The lab investigates challenging topics in the broad area of dynamical systems. Application areas include delay differential equations, parameter identification, and stochastic systems. Additionally, there is a focus on formulating the foundations of machine learning when the important features of a dynamical system are summarized by descriptors generated with topological data analysis (TDA).

Background

The Khasawneh group is interested in enhanced modeling and characterization of dynamical systems using numerical and analytical methods. The effectiveness of these models is evaluated and improved through comparisons with observed system behavior. The group's work includes investigating: nonlinear dynamics, time series analysis, and machine learning.

Miscellany