Alireza Siamy

Sharif University of Technology

Papers

3

Total Citations

31

H-Index

3

About

Alireza Siamy is a researcher at the forefront of human-robot interaction (HRI), specializing in real-time social robotics and collaborative intelligence. His work centers on enabling robots to not only perceive but also predict and respond to human behavior, bridging the gap between mechanical systems and natural social cues. Siamy’s most cited paper, “The real-time facial imitation by a social humanoid robot” (2016, 16 citations), introduced a pioneering approach using artificial neural networks and Kinect sensors to allow the humanoid robot “Alice” to mimic human facial expressions in real time—a foundational contribution to expressive HRI design. He further advanced intention prediction in his 2019 study “Playing Rock-Paper-Scissors with RASA” (11 citations), demonstrating how robots can anticipate human moves in interactive games. Most recently, Siamy explored the synergy of human-robot teams in “Investigating the Impact of Human-Robot Collaboration on Creativity and Team Efficiency” (2023, 4 citations), revealing that robots can enhance brainstorming outcomes. With a cumulative citation impact reflecting growing interest in socially aware robotics, Siamy’s work is shaping the future of empathetic, collaborative machines.

Research Focus

Key Achievements

3
H-Index
3
Papers
31
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
The real-time facial imitation by a social humanoid robot
16 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Sharif University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago