Stefania Bandini

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About

Stefania Bandini is a leading researcher at the intersection of artificial intelligence, complex systems, and human-centered computing. Her work primarily focuses on agent-based modeling for pedestrian and crowd dynamics, where she has made foundational contributions to understanding plausible wayfinding behaviors in complex environments. Her most-cited paper, “An agent-based model for plausible wayfinding in pedestrian simulation” (2019, 46 citations), exemplifies her ability to translate cognitive and spatial reasoning into computational models that improve safety and design in public spaces. More recently, Bandini has expanded her research into socially impactful domains, notably through her systematic review on AI-based supports for informal caregivers (2024, 7 citations), addressing the critical need for technology to assist the 80% of long-term care provided by family caregivers in Europe. Her work bridges theoretical rigor with real-world applications, earning her recognition as a pioneer in integrating AI into both urban planning and healthcare support systems. Bandini’s research continues to shape how intelligent systems can enhance human mobility and well-being, making her a vital voice in the future of socially-aware AI.