Papers
7
Total Citations
49
H-Index
4
About
Soukaina Gouraguine is an emerging researcher at the intersection of assistive robotics, artificial intelligence, and special education, with a particular focus on leveraging human-robot interaction to support children with neurodevelopmental conditions. Her work centers on two primary areas: robot-assisted therapy for children with autism spectrum disorder and AI-driven interventions for dysgraphia, a learning disability affecting handwriting and written expression. Gouraguine's most influential contribution, cited 24 times, introduced ontological knowledge models and reinforcement learning algorithms to guide therapeutic robots in autism care — a meaningful step toward intelligent, adaptive robotic therapists. Complementing this, her research on socially assistive robots for autistic learners further explores how humanoid systems like NAO can support pedagogical rehabilitation in educational settings. Her dysgraphia-focused work is equally significant, applying convolutional neural networks to detect and classify handwriting disorders in children, and deploying robot assistants to deliver personalized handwriting therapy. Across seven published studies accumulating over 45 citations, Gouraguine demonstrates a consistent commitment to translating advanced machine learning techniques into real-world therapeutic tools. Her research offers meaningful promise for educators, clinicians, and families navigating the challenges of neurodevelopmental learning differences.
Research Focus
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Top Papers
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