Juliana Johari

Papers

Total Citations

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About

Dr. Juliana Johari is a researcher whose work bridges the critical domains of autonomous robotics and cybersecurity. Her primary research areas include mobile robot navigation, fuzzy logic control systems, and the application of deep learning to security protocols. Dr. Johari’s most impactful contribution is her seminal 2014 paper on mobile robot obstacle avoidance in static environments using a fuzzy logic approach, which has garnered 25 citations. This work laid a foundational framework for enabling autonomous mobile robots to navigate complex terrains without human intervention, addressing key challenges in industrial, agricultural, and military applications. Her research has been instrumental in advancing the reliability and intelligence of robotic systems. In a more recent and forward-looking vein, Dr. Johari has ventured into the field of cybersecurity with a 2023 review on breaking text-based CAPTCHAs using deep learning methods. This work, already accumulating 6 citations, highlights the growing vulnerability of web security systems to AI-driven attacks. Additionally, her 2020 study on implementing the kinematics bicycle model for vehicle localization using Android sensors demonstrates her versatility in applying low-cost, accessible technology to solve complex localization problems. Dr. Johari’s work consistently demonstrates a commitment to solving real-world problems through innovative, computational approaches.