Ahmad Qadeib Alban
Papers
2
Total Citations
48
H-Index
2
About
Ahmad Qadeib Alban is a pioneering researcher at the intersection of autism therapy, wearable technology, and social robotics. His work focuses on leveraging physiological sensing and human-robot interaction to detect and predict challenging behaviours in children with Autism Spectrum Disorder (ASD). Alban’s major contributions include demonstrating that heart rate data from wearable sensors can serve as a reliable predictor of imminent challenging behaviours during social robot interactions, a breakthrough that enables proactive, non-invasive interventions. His two most-cited papers, both from 2021 and 2023, have each garnered 24 citations, reflecting growing interest in his innovative approach. By integrating biosignal monitoring with robotic therapy, Alban addresses a critical gap in autism care: the difficulty caregivers and therapists face in anticipating and managing behavioural episodes. His work not only enhances the safety and effectiveness of therapy sessions but also paves the way for personalized, data-driven support systems. Alban’s research stands at the forefront of assistive technology, offering promising tools to improve quality of life for children with autism and their families.
Research Focus
Key Achievements
Top Papers
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