TRACK #1: AI Applications for Holistic Smart City Management

CHAIRS

Ahmed Youssef, Massimo Martinelli, Ankit R. Patel

Description

This track focuses on the foundational technologies and methodologies that enable the development of AI-driven smart cities. It emphasizes the integration of intelligent systems and infrastructures to enhance urban life through innovation, sustainability, and connectivity.

Subfields of Interest (not limited to):

• Smart Urban Planning: Techniques for modeling and simulating urban growth and infrastructure needs using AI;
• Real-time Data Processing: Systems that analyze large datasets from IoT devices for timely decision-making;
• Waste Management Optimization: AI-driven solutions for monitoring waste generation, improving recycling rates, and optimizing collection routes;
• Sustainability Metrics: Methods for assessing and enhancing sustainability practices in urban settings;
• Citizen-Centric Services: Development of platforms for citizen engagement, participatory governance, and community-driven initiatives;
• Infrastructure Resilience: Approaches to predict and manage vulnerabilities and failures in urban infrastructure;
• Smart Living and Governance: A holistic development of people and governance. It includes smart education, health, culture, housing, citizen safety, IT connectivity, and online citizen services.