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Call For Paper
The 3rd International Conference on Artificial Intelligence and Sustainable Computing for Smart Cities (AIS2C2) will be held in ______________. The theme of the conference this year will be Machine Learning based Solutions for Smart Cities.  Besides contributions addressing the conference theme, authors are welcome to submit their original research results in traditional topics across broad application and functional domains, within the context of smart urban infrastructure systems. The technical areas include, but are not limited to:

1. AI and Urban Infrastructure Engineering

  • Smart infrastructure (transportation, utilities, etc.)
  • AI in urban planning and architecture
  • Smart grid technologies and energy efficiency
  • IoT and sensors in smart cities
  • AI in sustainable city development

2. AI in Education and Learning Systems

  • AI-driven education systems in smart cities
  • E-learning platforms and smart classrooms
  • Personalized learning using AI
  • AI-based education for urban skills development
  • Digital literacy and educational equity in smart cities

3. AI and Public Health / Biotech in Smart Cities

  • AI in healthcare delivery and management in urban environments
  • Bioinformatics and biotech applications in smart cities
  • AI for public health surveillance and disease control
  • Predictive modeling for healthcare in densely populated areas
  • AI in biomedical innovation for urban communities

4. AI in Governance and Policy Making

  • AI-driven smart governance and e-governance platforms
  • AI applications for urban policy decision-making
  • Ethical and responsible AI in smart cities
  • AI for public safety and law enforcement
  • AI and civic engagement in smart cities

5. AI in Humanities, Social Sciences, and Ethics

  • AI’s impact on society and culture in urban environments
  • Ethical AI for smart cities
  • AI and urban human interaction
  • Social implications of AI-driven urban systems
  • AI for cultural heritage preservation in cities

6. AI in Law and Legal Frameworks for Smart Cities

  • Legal challenges in AI and smart city governance
  • AI-driven legal tech for urban law
  • Intellectual property (IP) issues in AI technologies
  • AI and data protection laws in smart cities
  • Privacy and security regulations for AI applications

7. AI for Smart Mobility and Transportation

  • AI for intelligent transport systems
  • Autonomous vehicles in smart cities
  • Urban traffic management using AI
  • Mobility-as-a-service (MaaS) platforms
  • AI-based solutions for reducing urban congestion

8. AI for Environmental Sustainability and Climate Change

  • AI-driven solutions for reducing urban carbon footprint
  • AI in waste management and recycling
  • Environmental monitoring using AI technologies
  • AI in renewable energy management for cities
  • Climate adaptation strategies using AI

9. AI in Urban Security and Public Safety

  • AI applications in crime prediction and prevention
  • AI for emergency response and disaster management
  • Cybersecurity in smart cities
  • AI and surveillance systems in urban environments
  • AI in public safety infrastructure

10. AI in Financial Technology (FinTech) and Smart Economies

  • AI in smart city financial management
  • AI in urban fintech solutions (mobile payments, banking, etc.)
  • AI for economic development and entrepreneurship in smart cities
  • AI for smart city digital currencies and e-governance

11. AI in Telecommunication and Connectivity

  • AI for 5G deployment in smart cities
  • IoT network management and optimization using AI
  • AI for improving urban internet connectivity
  • AI for smart city telecom infrastructure

12. AI for Smart Housing and Urban Living

  • AI in smart homes and buildings
  • AI for real estate management in cities
  • AI in smart utilities (water, electricity, etc.)
  • AI for urban space optimization
  • AI solutions for improving urban living standards

13. AI for Disaster Risk Reduction and Management

  • AI in urban disaster resilience planning
  • AI for early warning systems in cities
  • Predictive analytics for natural and man-made disaster response
  • AI in risk assessment and mitigation for urban infrastructure

14. Human-Computer Interaction (HCI) and UX in Smart Cities

  • AI in enhancing urban user experiences
  • HCI for AI-driven urban services
  • AI for inclusive design in smart cities
  • Interaction design for urban AI applications

15. AI in Energy Efficiency and Smart Grids

  • AI for energy optimization in urban areas
  • Smart grids and renewable energy integration with AI
  • AI for smart energy distribution
  • AI applications for reducing energy waste in cities

16. AI and Big Data Analytics in Urban Settings

  • AI-driven data collection and analysis in smart cities
  • Urban big data platforms and applications
  • Predictive analytics for urban services
  • AI for personalized services in urban environments

17. AI Startups and Innovation in Smart Cities

  • AI-based startup ecosystems in urban areas
  • Innovation hubs and accelerators for AI in smart cities
  • Venture capital and funding AI in urban development
  • Collaborative platforms for AI innovation in smart cities

18. AI in Urban Management and Smart City Operations

  • AI-driven decision-making for urban resource management
  • AI applications in smart city administration
  • Urban asset management using AI
  • AI for smart city performance monitoring and optimization
  • AI in municipal services (waste management, public utilities)

19. AI in Project and Operations Management

  • AI for project management in smart infrastructure development
  • AI-driven workflow automation in urban settings
  • Operations management in AI-powered city systems
  • Predictive analytics for urban project planning and execution
  • AI in supply chain management for urban projects

20. AI for Smart City Business Management and Entrepreneurship

  • AI for business process automation in urban enterprises
  • AI-enabled platforms for city-based startups
  • AI for urban entrepreneurship and innovation hubs
  • Business model innovation in AI-powered cities
  • AI for business analytics and decision support in urban environments

21. AI and Leadership in Smart Cities

  • AI-driven leadership and governance strategies
  • Managing AI-based transformation in smart cities
  • AI leadership in public sector organizations
  • AI in strategic planning for urban development
  • AI and change management in smart city transitions

22. AI in Human Resource Management (HRM) for Smart Cities

  • AI for workforce management in smart city organizations
  • AI-based recruitment and talent management
  • AI in employee performance monitoring and evaluation
  • AI for optimizing workplace diversity and inclusion
  • AI-driven learning and development for urban talent

23. AI in Financial and Risk Management in Smart Cities

  • AI for urban financial planning and management
  • AI-driven risk assessment and mitigation strategies
  • AI applications in smart city budgeting and resource allocation
  • AI in urban investment strategies and financial forecasting
  • AI for fraud detection and financial security in urban economies

24. AI for Marketing and Consumer Insights in Smart Cities

  • AI-driven urban marketing strategies
  • AI in consumer behavior analysis for smart city services
  • AI applications in urban product and service innovation
  • Predictive marketing using AI for city businesses
  • AI-based personalization of urban retail experiences

25. AI in Supply Chain and Logistics Management in Urban Environments

  • AI for smart city supply chain optimization
  • AI-driven logistics for urban infrastructure and services
  • AI in last-mile delivery systems in cities
  • AI for demand forecasting in urban areas
  • AI for inventory management in city-based retail

26. AI in Innovation and Knowledge Management for Smart Cities

  • AI for fostering innovation in urban management
  • AI-driven knowledge sharing and collaboration platforms in cities
  • AI for smart city R&D and innovation ecosystems
  • AI in urban intellectual property (IP) management
  • Managing AI-powered innovation in city governance

27. AI for Smart City Ecosystem Management

  • AI-driven ecosystem management in urban areas
  • AI applications in city collaboration networks and clusters
  • Managing inter-organizational relationships using AI
  • AI-based platforms for urban public-private partnerships
  • Collaborative AI solutions for ecosystem resilience in cities

28. AI in Machine Learning and Deep Learning for Smart Cities

  • Advanced machine learning models for urban applications
  • Deep learning for smart city decision-making
  • AI in real-time data processing for urban systems
  • Reinforcement learning in smart city robotics
  • AI models for smart city automation

29. AI and Cloud Computing for Urban Services

  • Cloud-based AI platforms for smart city services
  • Distributed AI models in urban applications
  • Scalable cloud solutions for smart city data processing
  • AI in urban cloud infrastructure management

30. AI in Edge Computing and IoT for Smart Cities

  • AI at the edge for real-time urban decision-making
  • Edge AI in smart city IoT networks
  • AI-driven processing in IoT-enabled smart city infrastructure
  • AI for low-latency urban services through edge computing

31. AI in Cybersecurity for Smart Cities

  • AI-driven solutions for urban cybersecurity threats
  • AI for detecting and mitigating cyber-attacks in cities
  • Machine learning algorithms for urban data protection
  • AI for securing IoT devices in smart cities

32. AI for Autonomous Systems in Urban Environments

  • Autonomous vehicles and drones in smart cities
  • AI for managing autonomous public transportation
  • AI-driven logistics automation in cities
  • Autonomous systems for urban service delivery

Submission Guidelines

The submissions are divided into three tracks. Every paper will be assessed by the track chair and reviewed by at least three program committee members. The contributors are advised to choose the track that best suits their work. The contributions should be related to any one of the tracks as discussed above

Call for Technical Program Committee

Researchers and practitioners from all over the world, from academia, industry, and the government are invited to participate in the conference and share their perspectives, experiences, and vision by joining the Technical Program Committee.