Author

Hamid D. Ismail

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Open access Sep 2026

Early Detection of Transcriptomic State-Transition Dynamics in Cancer Through Nonlinear Dynamical Systems Analysis

Background: Understanding transcriptomic state-transition dynamics is important for elucidating cancer progression and therapeutic response, yet existing single-cell transcriptomic approaches primarily characterize gene-expression changes or pseudotemporal ordering rather than the dynamical organization of cellular-sta...

Hamid D. Ismail, A. Harb, Basem M. William et al. · BioMedInformatics · 0 citations

Open access 2026

QDRFormer: Quantum-Inspired Density Representation Learning With Random Forest-Guided Transformers for Early Prediction of PLL Instability and Chaos

Early prediction of nonlinear instability in phase-locked loops (PLLs) is essential for ensuring the reliability of modern power electronic and communication systems. This paper presents QDRFormer, a quantum-inspired density representation learning framework integrating density-matrix-based features, local instability...

Hamid D. Ismail, A. Harb, B. Gokaraju et al. · IEEE Access · 0 citations