Flex Conference (Physical / Digital)

International Conference on Sustainable Engineering and Data Mining Techniques - (ICSEDMT-27)

11th - 12th June 2027 , Newcastle - Australia

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Call For Papers

The (ICSEDMT-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Data Mining are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Sustainable engineering practices and data mining
  • Data mining for renewable energy solutions
  • Life cycle assessment using data analytics
  • Environmental impact analysis through data mining
  • Smart materials and their data-driven applications
  • Data-driven approaches to waste management
  • Energy-efficient engineering solutions
  • Data mining for sustainable urban development
  • Predictive modeling for environmental sustainability
  • Machine learning in climate change mitigation
  • Data analytics for resource conservation
  • Sustainable manufacturing techniques and data
  • Data mining for ecological footprint assessment
  • Innovations in green engineering practices
  • Data-driven policies for sustainable development
  • Social implications of sustainable engineering
  • Data mining in water resource management
  • Sustainable transportation solutions through data
  • Case studies in sustainable engineering
  • Future trends in sustainable engineering analytics

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.