Hamed Rahimi
Papers
1
Total Citations
5
H-Index
1
About
Hamed Rahimi is a rising researcher at the intersection of computer vision, human-robot interaction, and personalized AI. His work focuses on enabling socially aware robots to understand and adapt to individual human users, a critical step toward natural human-robot collaboration. Rahimi’s most-cited paper, “USER-VLM 360: Personalized Vision Language Models with User-aware Tuning for Social Human-Robot Interactions” (2025), introduces a novel framework that fine-tunes large vision-language models to recognize and respond to specific users in real-time, achieving 5 citations in its first year. This contribution addresses a key limitation in social robotics—the inability of AI to personalize interactions beyond generic responses. By integrating user-aware tuning, Rahimi’s work paves the way for robots that can remember preferences, adapt communication styles, and build rapport over time. His research has been presented to an international audience, signaling its relevance to the global robotics community. Though early in his career, Rahimi’s focus on personalization in human-robot interaction positions him as a promising voice in making AI not just intelligent, but genuinely attuned to the people it serves.
Research Focus
Key Achievements
Top Papers
- 1