Ulinnuha Latifa

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About

Ulinnuha Latifa is a researcher whose work sits at the intersection of embedded systems, robotics, and the Internet of Things (IoT), with a strong focus on practical, real-world applications. Her most influential contribution is the design of a robotic arm gripper controlled by an Arduino Uno and interfaced via LabVIEW, a project that has garnered 43 citations. This work demonstrates her expertise in integrating microcontrollers with intuitive software interfaces to create functional mechatronic systems. More recently, she has addressed pressing societal needs, developing an IoT-based "Smart Detection for Queue Automatic" system that uses infrared modules to enforce physical distancing, a timely innovation during the COVID-19 pandemic. This project, with 3 citations, highlights her ability to apply sensor technology and automation to public health challenges. Across her portfolio, Latifa’s research is characterized by a hands-on, engineering-driven approach, blending hardware control with software design to solve problems in automation and safety. Her work serves as a valuable resource for students and engineers exploring the practical implementation of Arduino, LabVIEW, and IoT in robotics and smart systems.