1 citations · 2 across the 8 of their papers we have counts for
8 papers
Graph-Based Characterization of Vision-Derived Dynamic Modes for Structural Damage Identification
R K B M Rizmi, Khalid Mahmud Labib, Shabbir Ahmed
This study presents a graph theoretic framework for characterizing damage-induced changes in the dynamics of a vibrating cantilever beam from non-contact video measurements. Within…
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…
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…
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…
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…
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…
Stochastic Identification-based Active Sensing Acousto-Ultrasound SHM Using Stationary Time Series Models
Shabbir Ahmed, Fotis Kopsaftopoulos
In this work, a probabilistic damage detection and identification scheme using stochastic time series models in the context of acousto-ultrasound guided wave-based SHM is proposed,…
Time-varying Identification of Guided Wave Propagation under Varying Temperature via Non-Stationary Time Series Models
Shabbir Ahmed, Fotis Kopsaftopoulos
Modern-day civil, mechanical, and aeronautical structures are transitioning towards a continuous, online, and automated maintenance paradigm in order to ensure increased safety and…