Mirko Marras
Papers
2
Total Citations
20
H-Index
2
About
Mirko Marras is a leading researcher at the intersection of artificial intelligence, human-robot interaction, and biometric systems. His work focuses on enabling intelligent systems to perceive and recognize individuals in dynamic, real-world environments. Marras made significant contributions to audio-visual person re-identification and verification, particularly in human-robot interaction contexts. His pioneering work on the "AveRobot" dataset—an audio-visual benchmark for people re-identification—has been instrumental in advancing robots' ability to correctly identify and assist users in tasks like museum guidance. He further developed deep multi-biometric fusion techniques that integrate voice and visual cues, achieving robust user verification even under challenging conditions. With his most-cited papers each garnering 10 citations, Marras has established a strong foundation for socially-aware robotics and secure, multimodal identification systems. His research not only pushes the boundaries of biometric fusion but also directly addresses the practical challenges of deploying intelligent assistants in everyday life, making him a notable figure in the field of interactive AI and human-centered computing.
Research Focus
Key Achievements
Top Papers
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