Papers

2

Total Citations

24

H-Index

2

About

Mohammad Aldosari is a pioneering researcher at the intersection of social robotics, wearable technology, and culturally adaptive interventions for autism spectrum disorder (ASD). His work focuses on leveraging human-robot interaction and sensor-based systems to mitigate behavioral challenges, particularly meltdowns, in individuals with ASD. In his landmark pilot study, "Social Robots and Wearable Sensors for Mitigating Meltdowns in Autism," Aldosari demonstrated how integrating social robots with physiological sensors can preemptively detect and de-escalate distress episodes—a contribution that has garnered 19 citations and laid groundwork for non-pharmacological, real-time support tools. Notably, Aldosari is among the first to address cultural specificity in ASD robotics, as seen in his 2016 paper "Culture as a Driver for the Design of Social Robots for Autism Spectrum Disorder Interventions in the Middle East." This work challenges one-size-fits-all approaches by advocating for designs that respect regional social norms, family dynamics, and religious practices. His research not only advances assistive technology but also underscores the importance of context-aware innovation. With growing recognition in both engineering and clinical communities, Aldosari’s work is shaping a future where robots are not just tools, but culturally sensitive companions for neurodiverse individuals.

Research Focus

Key Achievements

2
H-Index
2
Papers
24
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Social Robots and Wearable Sensors for Mitigating Meltdowns in Autism - A Pilot Test
19 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Cleveland Clinic, Cleveland Clinic Lerner College of Medicine

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago