About IC-AISIS 2027
Discover the vision, objectives, and organizing institutions behind the 2nd International Conference on Artificial Intelligence for Sustainability and Intelligent Systems.
Scope of the Conference
The 2nd International Conference on Artificial Intelligence for Sustainability and Intelligent Systems (IC-AISIS'27) aims to provide a global interdisciplinary platform for the presentation and discussion of cutting-edge research, innovations, and real-world applications of Artificial Intelligence (AI) in the domain of sustainability.
Scheduled for July 2nd and 3rd, 2027, at NMAM Institute of Technology, Nitte, this event (in-person + virtual) will gather academicians, researchers, industry professionals, policymakers, and students to address sustainability challenges through AI-driven intelligent systems.
Key Focus Areas
- Environmental conservation
- Smart energy management
- Sustainable healthcare
- Ethical AI practices
- Smart city infrastructure
- Industrial sustainability
- Integration of emerging technologies
Conference Features
Keynote Speeches
From leading experts in AI and sustainability
Technical Sessions
Presenting cutting-edge research papers
Panel Discussions
Exploring challenges and opportunities
Publication Opportunities
Get your research published with (Coming Soon) (Scopus Indexed)
Key areas of focus include environmental conservation, smart energy management, sustainable healthcare, ethical AI practices, smart city infrastructure, industrial sustainability, and the integration of emerging technologies like IoT, blockchain, and quantum computing. The conference will feature keynote speeches, technical sessions, panel discussions, poster exhibitions, and student forums designed to foster innovation, interdisciplinary collaboration, and thought leadership.
Through publication opportunities with (Coming Soon) (Scopus Indexed) and active knowledge exchange, IC-AISIS'27 aspires to make a meaningful contribution to global efforts in sustainable development powered by artificial intelligence.