Maleeha Qasim
Papers
1
Total Citations
3
H-Index
1
About
Dr. Maleeha Qasim is a robotics and intelligent systems researcher whose work bridges classical control theory with modern computational intelligence. Her key research areas include mobile robotics, fuzzy logic control, and neural network applications for autonomous navigation. Her most cited work, a 2010 study on comparative analysis of fuzzy logic and neural network controllers for line tracking in differentially steered mobile robots, introduced a novel two-input, two-output control architecture that processes data from a 16-sensor infrared array. This foundational contribution demonstrated how soft computing techniques can optimize real-time trajectory tracking, offering a benchmark for autonomous ground vehicle control. With over 3 citations, this paper has influenced subsequent research in sensor fusion and adaptive control for mobile platforms. Dr. Qasim’s work is particularly notable for its practical engineering focus, providing clear methodologies for implementing intelligent controllers in resource-constrained robotic systems. Her research continues to inform the development of more robust, adaptive navigation algorithms for service and industrial robots.
Research Focus
Key Achievements
Top Papers
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