Haleema Sadia
Papers
6
Total Citations
165
H-Index
6
About
Haleema Sadia is a pioneering researcher at the intersection of robotics, artificial intelligence, and autism spectrum disorder (ASD) therapy, dedicated to developing innovative technological interventions for children with neurodevelopmental challenges. Her work centers on designing and evaluating multi-robot therapy systems that address core ASD impairments, particularly joint attention, imitation, and social communication. Sadia's most influential contribution is her adaptive multi-robot therapy framework, which employs mathematical modeling to guide therapeutic interactions — a study that has garnered 70 citations and established her as a leading voice in robot-mediated autism interventions. Building on this foundation, she has explored neurological dimensions of ASD by integrating EEG analysis to examine brain hemisphere dominance during joint attention tasks, and has rigorously compared reinforcement stimuli to optimize robotic therapy effectiveness. Her longitudinal studies examining improvements in multi-human interaction further demonstrate a commitment to translating laboratory findings into real-world clinical practice. Notably, she has applied Hidden Markov Models to classify autism severity levels, reflecting her sophisticated use of machine learning alongside robotics. With a cumulative citation count exceeding 160, Sadia's research offers students and clinicians alike a compelling evidence base for technology-driven, personalized autism therapy.
Research Focus
Key Achievements
Top Papers
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- 5Attentional Behavior of Children With ASD in Response to Robotic Agents11 citations · 2021
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