Author

Salman Mahmood

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Open access Oct 2026

An explainable survival aware intelligence framework for customer retention decision support beyond static churn prediction

Traditional customer churn prediction treats retention as a static binary classification task. This limits operational value because it fails to address when a customer will leave, why they are leaving, and which intervention is economically viable. No existing framework integrates temporal, explanatory, and prescripti...

Bala Aravind Vutla, Raza Hasan, Salman Mahmood · Discover Informatics · 0 citations

Open access Sep 2026

A Quantum-Memetic Hybrid Framework for Combinatorial Optimization: Synergistic Integration of Superposition-Based Exploration with Adaptive Exploitation

The proposed Quantum-Memetic Hybrid Algorithm (QMHA), a component-based framework that synergistically integrates qubit-based global search with adaptive classical refinement, offers a robust, verified approach to hybrid optimization without relying on biological metaphors.

Raza Hasan, V. Dattana, Salman Mahmood · Applied Informatics · 0 citations

Open access Aug 2026

Hybridized self adaptive memetic optimization for green cloud scheduling using cross domain adaptation

A new continuous optimizer, the Self-adaptive memetic optimizer (SA-MO), designed for high performance with architectural principles from elite competition-winning algorithms, and a novel cross-domain adaptation framework to apply this powerful continuous optimizer to the discrete, combinatorial domain of cloud schedul...

Raza Hasan, Salman Mahmood, S. Palaniappan et al. · Discover Informatics · 0 citations