Israa Al Barazanchi

Universiti Tenaga Nasional, Imam Sadiq University

Papers

Total Citations

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About

Dr. Israa Al Barazanchi is a leading researcher at the intersection of cybersecurity, artificial intelligence, and the Internet of Things (IoT). Her work is defined by a dual focus: fortifying digital infrastructure through blockchain technology and advancing real-world machine vision systems. Her most cited paper, "Blockchain Technology - Based Solutions for IOT Security" (2021, 14 citations), is a foundational contribution that explores how smart contracts and decentralized ledgers can address critical vulnerabilities in IoT ecosystems, offering a roadmap for secure, automated transactions in distributed networks. This work has become a key reference for researchers seeking to bridge the gap between blockchain’s theoretical promise and practical IoT deployment. More recently, Dr. Al Barazanchi has pushed the boundaries of computer vision with her 2024 study on "Real time pedestrian and objects detection using enhanced YOLO integrated with learning complexity-aware cascades" (5 citations). This paper introduces a novel, efficiency-driven approach to object detection, optimizing the popular YOLO algorithm for autonomous vehicles and surveillance systems. By integrating complexity-aware cascades, her method achieves high accuracy without sacrificing real-time performance—a critical advancement for safety-critical applications. Through these contributions, Dr. Al Barazanchi demonstrates a rare ability to tackle both foundational security challenges and cutting-edge AI deployment, making her a vital voice in the next generation of intelligent, secure systems.