Papers
11
Total Citations
60
H-Index
4
About
Khalifa Mansouri is a researcher whose work sits at the dynamic intersection of social robotics, human-robot interaction, and assistive technology, with a particular focus on supporting children with special educational needs. His most impactful contributions center on developing intelligent robotic systems to aid therapeutic and pedagogical interventions for children with autism spectrum disorders and dysgraphia. Mansouri's most cited work, "Towards Robot-Assisted Therapy for Children With Autism" (2022, 24 citations), demonstrates his pioneering application of ontological knowledge models and reinforcement learning to design robot-assisted therapeutic frameworks, establishing him as a notable voice in this emerging field. Beyond autism therapy, Mansouri has made significant strides in deploying convolutional neural networks (CNNs) for detecting and classifying dysgraphia, enabling humanoid robots like NAO to serve as classroom assistants that identify and support students with handwriting difficulties. His research also extends into industrial applications, applying CNN-based robot classifiers to welding defect detection. Across his portfolio, Mansouri consistently bridges artificial intelligence, fuzzy reasoning, and multilingual human-robot communication to create practical, real-world assistive solutions. With over 50 cumulative citations and a growing body of interdisciplinary work, his research is carving a meaningful path toward technology-driven rehabilitation and inclusive education.
Research Focus
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