Seyed Ramezan Hosseini

Sharif University of Technology

Papers

6

Total Citations

93

H-Index

5

About

Seyed Ramezan Hosseini is a pioneering researcher at the intersection of social robotics, human-robot interaction, and assistive technologies. His work primarily focuses on developing intelligent robotic systems for education and rehabilitation, with a special emphasis on children with autism and sign language communication. Hosseini’s most impactful contribution is the Social Virtual Reality Robot (V2R) concept, which integrates virtual reality with social robotics to teach music and automatically assess behaviors in children with autism—a novel approach that has garnered 31 citations. He has also advanced one-shot learning from demonstration techniques for reciprocal sign language-based human-robot interaction (26 citations), enabling robots to learn and respond to Persian Sign Language. His survey on fictional robots in sci-fi movies (22 citations) offers unique insights into how popular culture shapes public expectations of robotics. Additional notable work includes a cognitive architecture for teaching assistant social robots and objective measurement of shoulder stiffness using robotic devices. Hosseini’s research bridges cutting-edge AI, robotics, and therapeutic applications, demonstrating significant potential for real-world impact in special education and rehabilitation.

Research Focus

Key Achievements

5
H-Index
6
Papers
93
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Social Virtual Reality Robot (V2R): A Novel Concept for Education and Rehabilitation of Children with Autism
31 citations · 2017
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Sharif University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago