WHO CAN ATTEND
The conference is open to research scholars, postgraduate and undergraduate students, faculty members, scientists, and corporate delegates, providing a platform for learning, collaboration, and knowledge sharing.
CALL FOR PAPERS
Abstract Papers are invited from research scholars, faculty members, scientist community, and industry experts adhering to the following guidelines:
- Title: Should be in running text, Times New Roman, font size 14.
- Authors’ Information: Include the name(s), affiliation(s), address(es), email ID, and mobile number of the author(s).
- Abstract Body: Use Times New Roman, font size 12, with 1.5 line spacing. Avoid using special symbols, equations, references, formulas, tables, or diagrams.
- Abstract: Should not exceed 300 words.
- Keywords: Provide a list of relevant keywords.
Selected papers will be included in the conference compendium.
CONFERENCE THEMES
The themes for the conference include but not limited to the following tracks:
- Climate-Resilient Technologies for Adaptation
- Innovations in Sustainable Environmental Systems and Resource Management
- Computational, Data-Driven, and Smart Technologies for Climate and Environmental Sustainability
CONFERENCE TRACKS
Track-1: Climate-Resilient Technologies for Adaptation
- Research on modelling/simulation
- Climate-resilient infrastructure
- Adaptive water and agricultural systems
- Disaster risk assessment and management
- Technology-driven adaptation strategies
- Climate Change Mitigation and Adaptation
Track-2: Innovations in Sustainable Environmental Systems and Resource Management
- Renewable energy systems
- Environmental pollution control
- Sustainable resource management
- Circular economy
- Ecosystem restoration technologies
- Life-cycle assessment approaches
Track-3: Computational, Data-Driven, and Smart Technologies for Climate and Environmental Sustainability
- Application of Artificial Intelligence and Machine learning
- Remote sensing and GIS
- Climate informatics
- Decision-support systems
- Digital twins for climate monitoring and prediction