Papers
10
Total Citations
201
H-Index
8
About
Raheel Nawaz is a multidisciplinary researcher whose work spans assistive robotics, human-robot interaction, and artificial intelligence, with a particular focus on therapeutic applications for children with Autism Spectrum Disorder (ASD). His most impactful contributions center on developing innovative robot-mediated intervention systems, most notably his adaptive multi-robot therapy framework targeting core ASD impairments such as joint attention and imitation — work that has accumulated over 70 citations and established him as a notable voice in this specialized field. Nawaz has systematically advanced this research agenda by evaluating reinforcement stimuli effectiveness in robotic therapies, applying Hidden Markov Models for autism level categorization, and conducting longitudinal studies on collaborative multi-human interaction improvements in ASD children. Beyond assistive technologies, his research portfolio demonstrates impressive breadth, encompassing brain-computer interface classification using SSVEP methods, multimodal personality assessment based on the Big Five model, quadruped robot leg design, fluid dynamics estimation, and robotic applications in carbon fiber composite manufacturing. His 2023 bibliometric review on service recovery further highlights his methodological versatility. With cumulative citations exceeding 200 across diverse domains, Nawaz represents a distinctly cross-disciplinary researcher whose work bridges clinical rehabilitation, intelligent systems, and advanced manufacturing.
Research Focus
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Top Papers
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