Sumaira Manzoor
Papers
10
Total Citations
174
H-Index
7
About
Sumaira Manzoor is a leading researcher at the intersection of robotics, artificial intelligence, and cognitive systems, whose work is fundamentally reshaping how autonomous machines perceive, reason, and interact with their environments. Her primary contributions lie in ontology-based knowledge representation for robotic systems, where she has pioneered frameworks that enable robots to process semantic knowledge for more efficient task assistance in domestic, hospital, and industrial settings. Her highly cited survey on ontology-based knowledge representation (54 citations) has become a foundational reference in the field, while her neuro-inspired cognitive navigation framework (41 citations) addresses the longstanding challenge of robotic environment modeling and planning. Manzoor has also made significant advances in edge deployment of deep learning models, developing practical solutions for real-time face mask recognition and pedestrian tracking using Siamese networks. Her comparative studies of traditional machine vision versus modern deep learning approaches for mobile robot object recognition have provided crucial guidance for practitioners. With over 170 total citations across her publications, Manzoor’s work on 3D recognition, human-robot interaction, and adaptive learning control continues to push the boundaries of what autonomous systems can achieve in dynamic, real-world environments.
Research Focus
Key Achievements
Top Papers
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- 53D Recognition Based on Sensor Modalities for Robotic Systems: A Survey12 citations · 2021
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- 8Edge Deployment of Vision-Based Model for Human Following Robot6 citations · 2023
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