Parastoo Azizinezhad

Islamic Azad University, Tehran, University of Essex

Papers

Total Citations

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About

Parastoo Azizinezhad is a researcher whose work bridges robotics, human-computer interaction, and intelligent control systems. Her key research areas include mobile robotics, soft-robotic interfaces, and machine learning applications in physiological sensing. Azizinezhad’s major contributions center on the control and navigation of four-Mecanum-wheeled robots, where she has developed innovative approaches for both manual and autonomous operation. Her most cited work, "Control of a four-mecanum wheeled robot with a soft-robotic glove" (6 citations), introduces a novel soft-robotic glove interface that uses an IMU, FSR, and Flex sensors to enable intuitive robot control—a design that enhances accessibility and human-robot interaction. She further advanced this field with "An Experimental Study on Controlling and Obstacle Avoidance of a Four Mecanum Wheeled Robot" (3 citations), where she implemented a Fuzzy-PID controller for autonomous navigation. More recently, Azizinezhad has expanded into cognitive computing, as demonstrated in her 2024 paper on "Pupil Diameter Classification using Machine Learning During Human-Computer Interaction" (2 citations), which explores using pupillary responses to assess cognitive load—a promising avenue for adaptive systems supporting users with severe disabilities. Her work consistently integrates practical hardware design with intelligent control, reflecting a commitment to creating more responsive and inclusive technologies.