Hind Z. Khaleel
Papers
11
Total Citations
121
H-Index
7
About
Hind Z. Khaleel is a robotics and intelligent systems researcher whose work sits at the intersection of optimization algorithms, robot kinematics, and autonomous mobile robotics. Her research has made meaningful contributions to some of the field's most persistent challenges, particularly the inverse kinematics problem for redundant robot manipulators — systems with more degrees of freedom than strictly necessary for a given task. Her early work combining Genetic Algorithms and Neural Networks to solve this notoriously nonlinear problem (2018) laid a foundation she has continued to build upon, later applying Particle Swarm Optimization to further enhance solution accuracy. Khaleel has more recently pioneered applications of the Pelican Optimization Algorithm (POA), achieving notable results in both mobile robot trajectory planning and ultrasonic sensor measurement enhancement — papers that have each garnered over 20 citations since their 2023–2024 publication, reflecting rapid uptake within the robotics community. Her portfolio also spans educational robotics, maze-navigation decision-making, and socially motivated designs such as a touchless sanitizer-dispensing mobile robot developed in response to the COVID-19 pandemic. With a cumulative citation profile exceeding 115 references and a growing presence in applied AI for robotics, Khaleel represents an increasingly influential voice in intelligent robotic systems research.
Research Focus
Key Achievements
Top Papers
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