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Call For Papers

The ICPMPES bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Computational Science, Data Science, encouraging applied research, case studies, and industry-driven innovations.

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

  • Predictive modeling for climate change impacts
  • Machine learning in environmental monitoring
  • Data-driven approaches to climate adaptation
  • AI applications in disaster management
  • Predictive analytics for biodiversity conservation
  • Real-time environmental data analytics
  • Challenges in climate data integration
  • Machine learning for weather forecasting
  • Impact of urbanization on climate models
  • Sustainable practices through predictive analytics
  • AI for optimizing resource management
  • Collaborative approaches to climate research
  • Ethics in environmental data analytics
  • Future trends in climate modeling
  • Data visualization for environmental insights
  • Machine learning for pollution prediction
  • Interdisciplinary research in climate science
  • Predictive analytics for renewable resource management
  • AI in climate policy formulation
  • Behavioral insights in environmental sustainability

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.