Khashayar Ghamati
Papers
3
Total Citations
19
H-Index
2
About
Khashayar Ghamati is a researcher at the intersection of artificial intelligence, human-robot interaction (HRI), and human-computer interaction (HCI), with a focus on making machines more socially intelligent and cognitively aligned with humans. His most cited work, “Towards AI-Powered Applications: The Development of a Personalised LLM for HRI and HCI” (2025, 11 citations), introduces a novel Personalised Large Language Model (PLLM) agent that adapts to individual users, advancing how LLMs can be integrated into interactive robotics and computing systems. In a highly cited 2024 study (7 citations), Ghamati demonstrated how the ARI humanoid robot can imitate human gaze behaviour using reinforcement learning and Zero-Shot Transfer, enabling more natural social cues in real-world environments. His 2025 paper (1 citation) further probes the cognitive plausibility of language and vision models by comparing their attention patterns to human eye-tracking data during HRI, raising critical questions about how well AI mirrors human perception. Ghamati’s work bridges technical AI development with cognitive science, offering practical pathways for creating robots that not only perform tasks but also understand and respond to human social signals.
Research Focus
Key Achievements
Top Papers
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