Karima Boukari

Papers

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About

Karima Boukari is a researcher whose work sits at the intersection of wireless sensor network reliability and advanced video processing. Her key research areas include fault detection in distributed systems and efficient motion estimation algorithms for video compression. In her most cited work, "Failure detection on wireless sensor network based on comparative study" (2017, 3 citations), Boukari provides a critical comparative analysis of the primary faults affecting Wireless Sensor Networks (WSNs)—technologies that bridge the physical and virtual worlds. This study offers valuable insights for improving the robustness of WSNs in real-world applications. Expanding her technical scope, Boukari also contributed to the field of video coding with "Fast motion estimation algorithm based on geometric wavelet transform" (2019, 2 citations). In this work, she addresses the computational challenges of motion estimation, a core process for predicting object displacement between video frames and reducing data redundancy. By proposing a faster algorithm leveraging geometric wavelets, her research aims to enhance the efficiency of modern video applications. Though early in her career, Boukari’s work demonstrates a clear focus on solving practical problems in sensing and multimedia systems.