AIGS 2027 organizes submissions into six scientific tracks, covering computational intelligence, energy technologies, power systems, intelligent engineering, sustainability, and connected smart systems. Interdisciplinary contributions addressing technological, environmental, economic, social, and institutional dimensions of sustainability are welcome within the relevant tracks.
Conference Themes & Research Tracks
- Machine learning, deep learning, and generative AI
- Responsible, trustworthy, and explainable artificial intelligence
- Natural language processing, computer vision, and multimodal AI
- Reinforcement learning, intelligent optimization, and decision systems
- Predictive analytics, big data, and data-driven modeling
- AI agents, autonomous intelligence, and emerging AI applications
- AI-enabled healthcare, education, agriculture, and business applications
- Computational intelligence for engineering, energy, and sustainability
- Solar energy, photovoltaics, and advanced renewable technologies
- Wind, ocean, geothermal, and hydroenergy systems
- Green hydrogen, fuel cells, and alternative energy carriers
- Bioenergy, biomass, and waste-to-energy technologies
- Hybrid renewable systems and distributed energy generation
- Energy conversion, efficiency, and sustainable energy utilization
- AI-driven renewable energy forecasting, monitoring, and optimization
- Clean energy innovation, deployment, and sustainable energy transitions
- Smart grids, microgrids, and distributed energy resources
- Battery technologies, advanced storage, and energy management
- Power-system planning, operation, protection, and intelligent control
- Demand response, smart metering, and electricity markets
- Electric vehicles, electrification, and charging infrastructure
- Power electronics, renewable integration, and grid modernization
- Power-system reliability, cybersecurity, and infrastructure resilience
- AI, machine learning, and digital twins for intelligent energy systems
- Intelligent engineering design, modeling, and optimization
- Robotics, autonomous systems, and intelligent machines
- Industrial automation, adaptive control, and smart manufacturing
- Industry 4.0, Industry 5.0, and human-centered technologies
- Cyber-physical systems, mechatronics, and intelligent instrumentation
- AI-enabled predictive maintenance and industrial monitoring
- Smart sensors, human-robot interaction, and collaborative automation
- Sustainable engineering applications and resource-efficient technologies
- Climate-change mitigation, adaptation, and environmental resilience
- Decarbonization, net-zero technologies, and sustainable development
- AI-driven environmental monitoring, modeling, and climate prediction
- Green buildings, sustainable infrastructure, and intelligent transportation
- Circular economy, resource efficiency, and life-cycle assessment
- Smart agriculture, food security, and intelligent water management
- Sustainable ecosystems, biodiversity, and environmental protection
- Social, economic, and institutional sustainability supported by smart technologies
- Internet of Things, Industrial IoT, and intelligent sensor networks
- Smart cities, smart buildings, and connected communities
- Digital twins, cyber-physical systems, and intelligent infrastructure
- Edge computing, cloud computing, and distributed intelligence
- Big data analytics, blockchain, and secure digital technologies
- Smart healthcare, digital education, and AI-enabled public services
- Intelligent mobility, smart logistics, and digital energy platforms
- AI-driven digital transformation, governance, and community resilience
Research contributions addressing multiple tracks are particularly encouraged. Authors are invited to review the submission requirements and select the most relevant scientific track when preparing their abstracts or full papers.