About
Shadi Khalifa is an Adjunct Assistant Professor with expertise in Big Data Analytics, Distributed Machine Learning, and Wireless Communication. His work bridges Cloud Computing and Data Mining with practical applications in MapReduce, Analytics-as-a-Service, and LTE Systems.
Research Trends: Analysis of Shadi Khalifa’s publications reveals a focus on distributed computing and big data optimization. Key themes include inter-cell interference coordination in wireless networks, smart big data frameworks, and cloud-based analytics. His work emphasizes scalability, efficiency, and integration of machine learning with infrastructure.
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