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Rasha’s research interests include leveraging cloud computing and high-performance parallel distributed systems for multi-stage big data analytics utilizing intelligent agents and deep convolutional neural networks (DCNN). To this end, she has developed a scalable, dynamic, and secure framework, which can be employed in smart cities. Rasha’s research explores data from various heterogeneous independent sources, accommodating both stream data and batch workloads, such as the Internet of Things (IoT) sensor data and Big Geospatial data.