Liliana Lo Presti

Papers

Total Citations

H-Index

About

Liliana Lo Presti is a researcher whose work lies at the intersection of computer vision, human behavior analysis, and intelligent systems for retail and public spaces. Her most cited paper, "I-MALL: An Effective Framework for Personalized Visits," introduces a sophisticated ICT infrastructure that integrates hardware and software to analyze customer behavior in environments like shopping malls and conferences. This framework enables personalized services, improving the customer experience through real-time data collection and analysis. With 4 citations, this work highlights her contribution to creating smarter, more responsive environments that bridge the gap between technology and human interaction. Lo Presti's research focuses on developing systems that understand and anticipate user needs, making her a key figure in the field of ambient intelligence. Her work has practical implications for retail, hospitality, and event management, demonstrating how computer vision and machine learning can transform everyday experiences. By combining technical innovation with real-world applications, Liliana Lo Presti continues to advance the study of human-centered computing, offering valuable insights for students and researchers interested in the future of smart spaces.