Conference Themes

Papers and contributions are invited from the below, but not essentially limited to the following themes:

1. AI-Driven Climate Intelligence and Infrastructure Resilience
   Predictive modelling for extreme weather and climate trends using energy-efficient AI algorithms
   Remote sensing and AI for ecosystem monitoring and land-use assessment
   Big data-driven risk mapping and climate-vulnerable infrastructure evaluation
   Sustainable design of AI-powered early warning and disaster response systems
   
   

2. Intelligent Urban Systems and Smart Mobility
   Low-power AI systems for traffic flow optimisation and congestion mitigation
   Green design principles for AI-enabled smart buildings and infrastructure
   Sustainable urban planning using AI-based digital twins and simulations
   Resource-efficient public utility management through AI-IoT integration
   
   

3. AI for Renewable Energy Systems and Power Management
   Forecasting of renewable energy sources using carbon-aware machine learning
   AI-based smart grid management and adaptive load control
   Energy-efficient predictive maintenance for turbines and solar PVs
   Sustainable optimisation of battery storage and hybrid power systems
   
   

4. Sustainable Manufacturing and Process Automation through AI
   AI-driven industrial control for reducing material waste and emissions
   Energy and resource optimisation in robotics, additive manufacturing, and CNC
   Data-driven circular process design for greener production cycles
   Lifecycle-aware automation tools for sustainable industrial operations
   
   

5. Smart Agriculture and Food Systems Enabled by AI
   AI models for minimising resource use in crop health and soil analytics
   Sustainable irrigation and nutrient application via AI-climate integration
   Eco-conscious pest detection and yield forecasting using lightweight AI
   AI-supported optimisation of food logistics and cold chain systems
   
   

6. Circular Economy and Sustainable Waste Management through AI
   Green AI solutions for intelligent waste sorting and materials recovery
   Lifecycle analysis using AI for sustainable product development
   Predictive tools for recycling efficiency and circular resource flows
   Automation in energy recovery, composting, and waste valorisation
   
   

7. Ethical and Transparent AI for Sustainable Governance
   Development of explainable, low-footprint AI systems for decision-making
   Risk assessment frameworks for environmental and societal AI impacts
   Secure, privacy-conscious AI for ecological data processing
   Equitable AI deployment to ensure inclusive sustainability outcomes
   
   

8. Smart Water Systems and Resource Optimisation Using AI
   AI-enabled leak detection and efficient water distribution management
   Machine learning for sustainable water quality and availability forecasting
   Decision-support systems for watershed conservation and drought planning
   Energy-aware modelling of water demand and conservation strategies
   
   

9. AI in Low-Carbon Transportation and Intelligent Mobility
   Sustainable route optimisation and logistics planning through AI
   AI-based real-time traffic modelling for reduced emissions
   Green fleet management and optimisation of public transport systems
   AI-driven support for autonomous electric and shared mobility services
   
   

10. Future-Ready Education and Interdisciplinary Innovation in AI for Sustainability
    Curricula promoting awareness of AI's carbon footprint and mitigation strategies
    Cross-domain innovation platforms combining AI, environment, and ethics
    Research on sustainable AI models and responsible digital infrastructure
    Student-led initiatives to build AI solutions aligned with environmental stewardship