Tareq Hafdhi Abdtawfeeq
Papers
1
Total Citations
2
H-Index
1
About
Tareq Hafdhi Abdtawfeeq is an emerging researcher at the intersection of biomedical engineering, machine learning, and assistive robotics, with a primary focus on improving the quality of life for individuals with neurodevelopmental disorders. His most cited work, "Heart Rate Predictive Value Using Wearable Sensors in Social Robotics Conversations to Help Children with Autism" (2024), pioneers the use of physiological signals—specifically heart rate variability captured via wearable sensors—to predict and mitigate problematic behaviors during human-robot interactions. By applying machine learning algorithms to real-time biometric data, Abdtawfeeq’s research offers a novel, non-invasive approach to enhancing social communication skills in children with autism spectrum disorder (ASD), directly addressing critical challenges faced by families and therapists. Although his citation count is currently modest (2 citations), the timeliness and interdisciplinary nature of his work signal strong potential for impact in the growing field of socially assistive robotics. His contributions bridge sensor technology, affective computing, and clinical intervention, laying groundwork for adaptive robotic systems that can respond to a child’s emotional state. As a forward-thinking researcher, Abdtawfeeq is poised to influence how wearable sensors and AI-driven robotics are integrated into therapeutic settings for vulnerable populations.
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Top Papers
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