The aim of this session is to explore innovative applications of data-driven analytics and artificial intelligence within the context of smart cities. It seeks to bring together researchers, practitioners, and policymakers to share methodologies, tools, and real-world case studies that promote urban sustainability, enhance citizen services, and enable data-informed decision-making. Topics of interest include, but are not limited to, urban mobility optimization, energy-efficient infrastructure, IoT-based monitoring systems, predictive analytics for public safety, and AI-driven governance in smart city ecosystems.

Session organiser: Iman Rahimi, University of Technology Sydney, Australia, iman.rahimi-1@uts.edu.au
Conference link:https://academyba.com/icbap2025/
Submission link:https://cmt3.research.microsoft.com/ICBAP2025/Submission/Index