Sarah Ostadabbas
Papers
8
Total Citations
99
H-Index
4
About
Sarah Ostadabbas is a researcher whose work spans assistive technology, multimodal data fusion, and machine learning-driven rehabilitation systems. She is perhaps best known for her pioneering contributions to tongue-operated robotic rehabilitation, developing innovative systems that enable stroke survivors and individuals with severe physical disabilities to control robotic exoskeletons and human-computer interfaces through tongue-based inputs — work that has accumulated citations across multiple studies and directly addresses the pressing challenge of upper limb recovery after neurological injury. Ostadabbas has also made significant strides in the field of multimodal data fusion, co-authoring a highly cited 2020 cross-disciplinary study (57 citations) that advanced transdomain understanding by demonstrating how integrating multiple data streams can accelerate solution development across fields. Her more recent work extends into artificial intelligence applications, including an assistive AI framework (STREAMS) for biosignal-based robotic control and machine learning approaches to autism spectrum disorder assessment, reflecting her commitment to translating cutting-edge AI into clinically meaningful tools. Through her breadth of contributions — from wearable tongue-drive systems to intelligent biosignal processing — Ostadabbas has established herself as an impactful voice at the intersection of biomedical engineering, rehabilitation robotics, and applied machine learning.
Research Focus
Key Achievements
Top Papers
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- 3Enhancements of a tongue-operated robotic rehabilitation system7 citations · 2015
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