M. Sohrabipour

Sharif University of Technology

Papers

1

Total Citations

4

H-Index

1

About

M. Sohrabipour is a researcher at the intersection of educational technology, human-robot interaction, and assistive learning. Their most prominent work centers on developing accessible digital tools for children with learning disabilities, with a particular focus on dyslexia. In their highly cited 2023 paper, "A Tablet-Based Lexicon Application for Robot-Aided Educational Interaction of Children with Dyslexia," Sohrabipour introduced an innovative system that combines a tablet-based lexicon app with a robot companion to support vocabulary acquisition and engagement. This contribution stands out for its dual emphasis on user-centered design and embodied interaction, offering a scalable, low-cost intervention for special education contexts. While their citation count of 4 reflects an emerging career, the work has already garnered attention for its practical relevance and interdisciplinary approach. Sohrabipour’s research bridges gaps between speech therapy, human-robot interaction, and inclusive education, demonstrating a commitment to creating technology that directly addresses real-world learning challenges. Their ongoing efforts promise to shape how assistive robots and mobile applications can be integrated into classrooms to support diverse learners.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Tablet-Based Lexicon Application for Robot-Aided Educational Interaction of Children with Dyslexia
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Sharif University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago