Pouyan Ziafati

University of Luxembourg, Utrecht University

Papers

12

Total Citations

178

H-Index

7

About

Pouyan Ziafati is a multidisciplinary researcher whose work sits at the intersection of socially assistive robotics, autism spectrum disorder (ASD) interventions, autonomous robot programming, and IoT security. His most impactful contributions focus on leveraging social robots to support children with ASD, most notably through studies using QTrobot to improve attention, reduce repetitive and stereotyped behaviors, and teach emotional and social skills — work that has collectively garnered nearly 90 citations and demonstrated measurable therapeutic benefits in clinical settings. His comparative study examining human versus robot interactions with ASD children further solidified the case for robotic interventions in therapeutic contexts. Beyond clinical applications, Ziafati has made significant contributions to the technical foundations of autonomous robotics, addressing gaps in agent programming languages and event-processing architectures for robot control. He has also tackled the growing security challenges posed by IoT-integrated social robots in healthcare and ambient assisted living environments, developing frameworks that bridge security interoperability with real-world deployment. His most recent work explores the use of large language models in robot-assisted therapeutic role-play, signaling a forward-looking engagement with AI-driven tools for neurodivergent support — an area of increasing relevance and responsibility.

Research Focus

Key Achievements

7
H-Index
12
Papers
178
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
More Attention and Less Repetitive and Stereotyped Behaviors using a Robot with Children with Autism
55 citations · 2018
📈 Most Prolific Year: 2013 (3 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: University of Luxembourg, Utrecht University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago