About

Sara Ali is a multidisciplinary researcher whose work spans human-robot interaction, assistive technologies, and robotics engineering. She is best known for her pioneering contributions to robot-mediated therapies for children with Autism Spectrum Disorder (ASD), where she has developed innovative adaptive multi-robot systems targeting core impairments such as joint attention and imitation. Her most influential work, "An Adaptive Multi-Robot Therapy for Improving Joint Attention and Imitation of ASD Children" (2019), has garnered 70 citations, establishing her as a prominent voice in the field of therapeutic robotics. Through a series of rigorous experimental studies, Ali has investigated the effectiveness of varied reinforcement stimuli, attentional behavior, and visual dominance in ASD children using EEG-based neuroimaging, collectively accumulating over 100 additional citations. Beyond autism research, her work extends to quadruped robot design, multimodal personality assessment using the Big Five model, and fluid dynamics in aerial robotics. Notably, she has also contributed to service recovery research through a widely cited bibliometric review. Ali's diverse yet cohesive body of research reflects a commitment to applying advanced engineering and computational methods to both human-centered and mechanical challenges.

Research Focus

Key Achievements

10
H-Index
22
Papers
292
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
An Adaptive Multi-Robot Therapy for Improving Joint Attention and Imitation of ASD Children
70 citations · 2019
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 51
🏛 Institutions: National University of Sciences and Technology, K.N.Toosi University of Technology, National Court Reporters Association

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago