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About

Haslina Arshad is a researcher whose work sits at the dynamic intersection of robotics, computer vision, artificial intelligence, and human-computer interaction. With a career spanning over a decade, her research has made meaningful contributions to how machines perceive, interpret, and respond to human behavior. Her most-cited work — a 2022 systematic review on vision-based assessment systems in robotics and AI (27 citations) — demonstrates her commitment to synthesizing emerging trends across intelligent systems, augmented reality, and automated evaluation frameworks. Her 2015 review on gesture recognition using Kinect (17 citations) established her as a thoughtful analyst of natural user interfaces, exploring how depth-sensing technology enables intuitive human-machine communication across medical, entertainment, and research domains. Arshad has also made notable contributions to robotics education, developing virtual learning environments that help students grasp complex concepts like robot kinematics and trajectory planning — work that reflects a rare blend of technical rigor and pedagogical innovation. Her 2010 and 2012 papers on virtual robot kinematic teaching systems helped pioneer computer-assisted approaches to engineering education. Collectively, her publications highlight a researcher dedicated to making intelligent systems more interactive, assessable, and accessible — both in research laboratories and university classrooms.