collaborators

5 papers

eess.SY2026

Learning Structural Eigenmodes with Modal Operator Network (ModalONet)

Saad Waheed, Shabbir Ahmed

Neural operators such as the deep operator network (DeepONet) and the Laplace neural operator (LNO) are effective surrogates, but they are almost exclusively trained to reproduce t…

eess.SY2026

Koopman Spectral Analysis of Lithium-Ion Battery Dynamics: State of Charge as a Marginally Stable Observable

Bakhtiar Nafis, Khalid Mahmud Labib, Saad Waheed +1

Accurate state-of-charge (SOC) estimation remains a fundamental challenge in lithium-ion battery management systems because battery dynamics are highly nonlinear, operating-conditi…

eess.SY2026

Vision-Based Structural Damage Identification in Vibrating Beams via Dynamic Mode Decomposition

R K B M Rizmi, Shabbir Ahmed

Structural damage detection using non-contact sensing remains a challenging problem in structural health monitoring. This study presents a data-driven framework based on Dynamic Mo…

eess.SY2026

Operator-Theoretic and physics-guided Sequence Modeling of Lithium-Ion Battery Voltage Dynamics

Khalid Mahmud Labib, Inayat Rasool, Shabbir Ahmed

Lithium-ion batteries exhibit nonlinear voltage dynamics across varying operating conditions and aging states, making accurate modeling essential for estimation, control, and healt…

eess.SY2026

A Graph Theoretic Approach in Combination With Dynamic Mode Decomposition With Control (DMDc) to Analyze Battery Degradation

Khalid Mahmud Labib, Saad Waheed, Bakhtiar Nafis +1

Accurate monitoring of lithium-ion battery (LIB) degradation is essential, yet it remains challenging due to the complex, nonlinear, and time-varying nature of electrochemical agin…