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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.
Session Overview
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.
IoT & Edge Computing
Intelligent sensors and devices for monitoring urban ecosystems.
Cybersecurity in Smart Cities
Policies and technologies to protect critical infrastructure.
Robotics for Sustainability
Automated systems for waste recycling, renewable energy management, and healthcare delivery.
Real-Time Urban Solutions
Algorithms for traffic optimization, emergency response, and climate adaptation.
Cross-Disciplinary Integration
Bridging computing, engineering, and social sciences for holistic urban innovation.
Outcomes of the Session
Intelligent Data Analytics and 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 that connect citizens, devices, and systems for smarter, more sustainable governance.
Intelligent Security Mechanism and Policies
Participants will learn strategies for safeguarding smart city infrastructures through intelligent security mechanisms and resilient policies.
Robotics and Embedded Systems Technologies
Participants will discover how robotics and embedded systems can automate urban services, improve efficiency, and support sustainability goals.
Real-Time Computing and Algorithms
Participants will acquire knowledge of real-time algorithms that enable rapid, adaptive responses to urban challenges such as mobility, energy, and disaster management.
All the selected papers will be Published in Springer series “Lecture Notes in Networks and Systems” . Indexed by SCOPUS, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, SCImago. All books published in the series are submitted for consideration in Web of Science.
To be a Presenter please submit your Research Abstract
To be a Listener, Please register
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