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Syed Muhammad Raza is a lecturer at the University of Glasgow's James Watt School of Engineering, specializing in Autonomous Systems and Connectivity. His research interests lie primarily in the areas of machine learning, Internet of Things (IoT), and network management. He has contributed significantly to the field with numerous publications in top-tier journals and conferences. His work includes advancements in anomaly detection in real-time IoT data streaming, as well as proactive handover decisions using deep reinforcement learning. Raza's expertise extends to improving data aggregation methods in IoT sensor networks and developing intelligent paging services for enhanced connectivity performance. With a strong foundation in cognitive communications and networking, he actively explores innovative solutions in the context of software-defined networking and service function chaining. Raza continues to collaborate with fellow researchers and industry professionals to push the boundaries of technology and improve user experiences in complex network environments.