Improving the Schedulability of Real-Time Tasks Using Fog Computing von Fizza, Kaneez, Auluck, Nitin, Azim, Akramul

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Dynamic hierarchical intrusion detection task offloading in IoT edge networks von Sahi, Mansi, Auluck, Nitin, Azim, Akramul, Maruf, Md Al

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A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes Using Kernel Traces von Ezeme, Okwudili M., Mahmoud, Qusay H., Azim, Akramul

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Faster Fog Computing Based Over-the-Air Vehicular Updates: A Transfer Learning Approach von Al Maruf, Md, Singh, Anil, Azim, Akramul, Auluck, Nitin

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A Systematic Review of Fault Injection Attacks on IoT Systems von Gangolli, Aakash, Mahmoud, Qusay H., Azim, Akramul

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A Layer-Partitioning Approach for Faster Execution of Neural Network-Based Embedded Applications in Edge Networks von Saguil, Darren, Azim, Akramul

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A Systematic Literature Review on Requirements Engineering and Maintenance for Embedded Software von Fariha, Asma, Alwidian, Sanaa, Azim, Akramul

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A State-of-the-Art Review of Task Scheduling for Edge Computing: A Delay-Sensitive Application Perspective von Avan, Amin, Azim, Akramul, Mahmoud, Qusay H.

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An Energy-Efficient Periodic Resource Model for Bounded Delay-Tolerant Real-Time Systems von Elashri, Suzanne, Azim, Akramul

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A Framework for LLM-Assisted Smart Policing System von Sarzaeim, Paria, Mahmoud, Qusay H., Azim, Akramul

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Design and development of a machine learning-based task orchestrator for intelligent systems on edge networks von Peixoto, Maria J. P., Azim, Akramul

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Facilitating Reuse of Functions in Embedded Software von Maruf, Md Al, Azim, Akramul, Alam, Omar

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PESKEA: Anomaly Detection Framework for Profiling Kernel Event Attributes in Embedded Systems von Ezeme, Okwudili M., Azim, Akramul, Mahmoud, Qusay H.

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A Systematic Review of Using Machine Learning and Natural Language Processing in Smart Policing von Sarzaeim, Paria, Mahmoud, Qusay H., Azim, Akramul, Bauer, Gary, Bowles, Ian

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Extending resources for avoiding overloads of mixed‐criticality tasks in cyber‐physical systems von Maruf, Md. Al, Azim, Akramul

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On the Effectiveness of Feature Selection Techniques in the Context of ML-Based Regression Test Prioritization von Khan, Md Asif, Azim, Akramul, Liscano, Ramiro, Smith, Kevin, Chang, Yee-Kang, Seferi, Gkerta, Tauseef, Qasim

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Remote Method Delegation: a Platform for Grid Computing von Wood, Bradley, Watling, Brock, Winn, Zachary, Messiha, Daniel, Mahmoud, Qusay H., Azim, Akramul

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Design and Development of AD-CGAN: Conditional Generative Adversarial Networks for Anomaly Detection von Ezeme, Okwudili M., Mahmoud, Qusay H., Azim, Akramul

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DReAM: Deep Recursive Attentive Model for Anomaly Detection in Kernel Events von Ezeme, Okwudili M., Mahmoud, Qusay H., Azim, Akramul

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Design and Development of a Digital Twin Platform for Scenario-Based Testing of Road Vehicles von Azim, Akramul, Hossain, Ridwan

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