International Conference on Predictive Modeling in Climate and Environmental Studies ICPMPES

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

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

Registration

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

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Publication

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

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Hybrid Event