Kartinah Zen

Papers

Total Citations

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About

Kartinah Zen is a researcher whose work bridges the critical intersection of cloud infrastructure and augmented reality (AR). Her primary research areas include time-critical Internet of Things (IoT) systems, latency analysis, and robust tracking technologies for AR applications. In her most-cited work, "Latency Analysis of Cloud Infrastructure for Time-Critical IoT Use Cases" (2022, 9 citations), Zen investigates the factors that influence real-time processing delays—such as artificial intelligence inference—for demanding applications like driverless cars and robotic surgical arms, highlighting the need for high bandwidth and low latency. Her earlier contributions, including two papers on "Analysing the attributes of fiducial markers for robust tracking in augmented reality applications" (2017, 8 citations; 2016, 3 citations), address the fundamental challenge of camera pose estimation. By systematically evaluating marker-based tracking techniques, Zen has advanced the reliability of AR systems, robot navigation, and 3D modelling. With a total of 20 citations across her key works, Zen’s research is foundational for developers and engineers building next-generation, time-sensitive technologies. Her work is particularly notable for its practical impact on both cloud computing and immersive digital experiences.