Sonia Khan

TwinSoft: Risk-bounded digital-twin control with semantic telemetry and SDN/NFV enforcement for low-latency autonomous vehicular communication networks

Kamran Ahmad Awan, Sonia Khan, Meshari Huwaytim Alanazi, Mohammad Shorfuzzaman et autres

Coherence-Driven Edge Intelligence for Trustworthy Vehicular Low-Altitude Internet of Things Networks

Kamran Ahmad Awan, Sonia Khan, Mueen Uddin, Hamed Alsufyani et autres

Integrated vehicular and low-altitude Internet of Things networks require stable trust regulation under dynamic mobility, interference, and adversarial conditions. In this study, a unified edge intelligence approach is proposed to address the trustworthiness issue in modern edge intelligence. A validated constraint-consistent state …

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Quantum-resilient federated learning with trust-assisted adaptive anomaly detection for Internet of Things environment

Amjad Rehman, Tanzila Saba, Kamran Ahmad Awan, Sonia Khan et autres

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Adaptive multimodal engagement framework with hierarchical attention for 6G-IoT metaverse applications

Sonia Khan, Mueen Uddin, Maha Abdelhaq, Khalid Mahmood et autres

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Quantum Inspired Vehicular Network Optimization for Intelligent Decision Making in Smart Cities

Kamran Ahmad Awan, Sonia Khan, Eman Abdullah Aldakheel, Saif Al-Kuwari et autres

Connected and automated vehicles require city-scale coordination under strict latency and reliability constraints. However, many existing approaches optimize communication and mobility separately, which can degrade performance during network outages and under compute contention. This paper presents QIVNOM, a quantum-inspired framework that jointly …

Quantum Inspired Vehicular Network Optimization for Intelligent Decision Making in Smart Cities

Kamran Ahmad Awan, Sonia Khan, Eman Abdullah Aldakheel, Saif Al-Kuwari et autres

Connected and automated vehicles require city-scale coordination under strict latency and reliability constraints. However, many existing approaches optimize communication and mobility separately, which can degrade performance during network outages and under compute contention. This paper presents QIVNOM, a quantum-inspired framework that jointly …

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Quantum Inspired Vehicular Network Optimization for Intelligent Decision Making in Smart Cities

Kamran Ahmad Awan, Sonia Khan, Eman Abdullah Aldakheel, Saif Al‐Kuwari et autres

Connected and automated vehicles require city-scale coordination under strict latency and reliability targets, yet many solutions optimize communications and mobility separately, resulting in degraded performance during outages and under edge–cloud computational contention. This work introduces QIVNOM, a quantum-inspired framework that jointly optimizes …

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A hierarchical and privacy-preserving intrusion detection framework for SAGIN-enabled IIot using graph neural networks and deep Q-learning

Mueen Uddin, Sonia Khan, Fuhid Alanazi, Maha M. Althobaiti et autres

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ABS6G: Adaptive Blockchain Framework for Real-Time Trust Management of Smart City IoT Systems in 6G Networks

Abdulrahman Ahmed Gharawi, Sonia Khan, Mohammad D. Alahmadi, Kamran Ahmad Awan

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HALOGrid—HyperAdaptive long short term memory model with intelligent grid optimization

Kamran Ahmad Awan, Maha Abdelhaq, Celestine Iwendi, Sonia Khan et autres

HALOGrid is an adaptive edge–cloud malware detection framework for IoT traffic. The approach couples a lightweight LSTM (residual paths, attention, drift-penalty regularization) for low-latency edge inference with a telemetry-driven tuner that performs real-time hyperparameter updates. The tuner employs Augmented Grid Search (AGS): …

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Adaptive resource aware and privacy preserving federated edge learning framework for real time internet of medical things applications

Khalid Mahmood, Sonia Khan, Maha Abdelhaq, Mahmood ul Hassan et autres

The Internet of Medical Things requires frameworks that ensure secure processing, computational efficiency, and scalability for continuous healthcare data streams. Existing solutions remain limited in their ability to support real-time anomaly detection, resource-constrained optimization, and multi-tier aggregation in large-scale deployments. This work …

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Sustainable Data Energy and Resource Optimization Framework for Agricultural Consumer Electronics

Kamran Ahmad Awan, Abdullah M. Alqahtani, Osama Zwaid Aletri, Sonia Khan et autres

Efficient resource utilization and energy management are essential for sustainable agricultural consumer electronics in modern IoT systems. Existing frameworks often struggle with adaptability, scalability, and energy efficiency, especially in dynamic and resource-constrained environments. This study aims to address these challenges by proposing …

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