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Intelligent Technologies for
Next‑Generation Cities
Objective of Session : "Intelligent Systems"
All accepted and registered full papers must be presented at the conference and will be published in the Springer series This series is indexed by Scopus, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, and SCImago. All books published in this series are also submitted for consideration in Web of Science.
Objective of Session
"Intelligent Systems"
This session explores how intelligent technologies—spanning data analytics, computing, communication, security, robotics, and real‑time algorithms—can transform urban environments into next‑generation sustainable cities. It emphasizes the convergence of advanced computing and engineering with urban planning, highlighting how smart, secure, and adaptive systems can address the challenges of rapid urbanization, climate change, and resource management.
Key Objectives
Advance Intelligent Data Analytics
Demonstrate how big data and predictive analytics can optimize energy use, traffic flow, and resource allocation in cities.
Promote Intelligent Computing
Showcase computing innovations that enable scalable, efficient, and sustainable urban infrastructures.
Enhance Intelligent Communication
Explore next-generation communication networks (5G/6G, IoT) that connect citizens, devices, and systems for smarter governance.
Strengthen Security Mechanisms
Discuss intelligent cybersecurity policies and mechanisms to safeguard smart city infrastructures and citizen data.
Integrate Robotics & Embedded Systems
Highlight applications of robotics and embedded systems in automation, waste management, healthcare, and urban services.
Optimize Real-Time Algorithms
Present algorithmic solutions for real-time decision-making in transport, disaster response, and smart energy systems.
Focus Areas
Smart City Platforms
- AI-driven dashboards for governance and citizen engagement.
- Enable data-driven decision-making for urban management.
IoT & Edge Computing
- Intelligent sensors and connected devices for monitoring urban ecosystems.
- Support real-time data processing at the edge for faster responses.
Cybersecurity in Smart Cities
- Develop policies and technologies to protect critical infrastructure.
- Ensure data privacy and resilience in digital urban systems.
Robotics for Sustainability
- Automated systems for waste recycling, renewable energy, and healthcare delivery.
- Improve efficiency and sustainability through robotics integration.
Real-Time Urban Solutions
- Algorithms for traffic optimization, emergency response, and climate adaptation.
- Enable faster and smarter urban decision-making.
Cross-Disciplinary Integration
- Bridge computing, engineering, and social sciences.
- Promote holistic and innovative approaches to urban development.
Outcomes of the Session
Key learnings participants will gain from this session
Intelligent Data Analytics & Technologies
Participants will understand how intelligent data analytics can optimize urban systems, enhance decision-making, and drive sustainable innovation.
Intelligent Computing
Participants will gain insights into computing frameworks that enable scalable, efficient, and eco-friendly smart city infrastructures.
Intelligent Communication
Participants will explore next-generation communication networks connecting citizens, devices, and systems for smarter governance.
Security Mechanisms & Policies
Participants will learn strategies for safeguarding smart city infrastructure through intelligent security systems and resilient policies.
Robotics & Embedded Systems
Participants will discover how robotics and embedded systems automate urban services and support sustainability goals.
Real-Time Computing & Algorithms
Participants will acquire knowledge of real-time algorithms enabling adaptive responses to mobility, energy, and disaster challenges.
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