- Track 1: Smart and Sustainable Energy Systems (SDG 7)
AI-driven approaches in energy generation, optimization, smart grids, renewable integration, and predictive maintenance. - Track 2: AI in Climate Modeling and Change Mitigation (SDG 13)
AI applications for climate prediction, carbon footprint estimation, and policy development for climate resilience, smart disaster management - Track 3: Sustainable cities and communities (SDG 11)
Smart city frameworks, rural resource planning, traffic and mobility optimization, AI-driven disaster response systems and contingency planning, waste management, recycling processes, waste generation prediction, landfill management, and creating sustainable economic models. - Track 4: Innovative Industrial Strategies (SDG 7, 9, 12)
AI-driven exploration techniques in infrastructure, safety monitoring in mining, predictive maintenance, sustainable resource extraction, responsible consumption, production, and affordable and clean energy for future sustainability, green technologies. - Track 4: Land-Water Smart Management (SDG 6, 14, 15)
AI for water conservation, smart irrigation systems, flood prediction and management, and wastewater treatment optimization, clean water, and smart sanitation, life perspectives on the land and under the water. - Track 5: Smart Environmental Monitoring and Resource Management (SDG 6, 12)
AI-based solutions for monitoring air, water, and soil quality, and managing ecosystems and natural resources. - Track 6: Security and Ethics in AI for Energy and Environment (SDG 16)
Investigates ethical, legal, and cybersecurity challenges in deploying AI in sensitive energy and environmental domains.
Paper Submission
Instructions for the authors that page limit is maximum 7 pages including tables, figures, and bibliographies.
Paper submission link: https://forms.gle/7z2F3g7q2E42YzdE7
