International Conference on Computational Methods in Environmental Modeling
(ICCMEM-26)

8th November 2026 || Delhi - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Computational Methods in Environmental Modeling (ICCMEM), scheduled to be held on 8th November 2026 in Delhi, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Computational Science.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Advanced Computational Techniques in Environmental Modeling
    This track focuses on innovative computational methods that enhance the accuracy and efficiency of environmental modeling. Contributions may include novel algorithms and frameworks that address complex environmental challenges. Aligned SDGs: SDG 13 – Climate Action  |  SDG 15 – Life on Land
  • Track 02 – Statistical Approaches to Climate Data Analysis
    This session explores statistical methodologies for analyzing climate data, emphasizing the importance of robust statistical models in understanding climate variability. Papers may discuss both theoretical advancements and practical applications in climate science. Aligned SDGs: SDG 13 – Climate Action  |  SDG 17 – Partnerships for the Goals
  • Track 03 – Machine Learning Applications in Environmental Science
    This track highlights the integration of machine learning techniques in environmental modeling and data analysis. Submissions should demonstrate how machine learning can provide insights into environmental processes and improve predictive capabilities. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 13 – Climate Action
  • Track 04 – Optimization Techniques for Resource Management
    This session addresses optimization methods applied to environmental resource management, focusing on sustainable practices. Papers should present quantitative approaches that enhance decision-making in resource allocation and conservation. Aligned SDGs: SDG 12 – Responsible Consumption and Production  |  SDG 15 – Life on Land
  • Track 05 – High-Performance Computing in Environmental Simulations
    This track emphasizes the role of high-performance computing in conducting large-scale environmental simulations. Contributions should showcase advancements in computational power that enable more detailed and realistic environmental modeling. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 13 – Climate Action
  • Track 06 – Risk Analysis and Uncertainty Quantification
    This session focuses on methodologies for risk analysis and uncertainty quantification in environmental modeling. Papers should explore how to assess and mitigate risks associated with environmental changes and human activities. Aligned SDGs: SDG 11 – Sustainable Cities and Communities  |  SDG 13 – Climate Action
  • Track 07 – Data Science Innovations for Environmental Monitoring
    This track invites contributions that leverage data science techniques for effective environmental monitoring and assessment. Submissions should highlight innovative data-driven approaches that enhance our understanding of environmental dynamics. Aligned SDGs: SDG 11 – Sustainable Cities and Communities  |  SDG 13 – Climate Action
  • Track 08 – Probabilistic Models in Environmental Decision Support
    This session explores the application of probabilistic models in supporting environmental decision-making processes. Papers should discuss how these models can inform policy and management strategies under uncertainty. Aligned SDGs: SDG 16 – Peace, Justice and Strong Institutions  |  SDG 17 – Partnerships for the Goals
  • Track 09 – Simulation Techniques for Ecosystem Modeling
    This track focuses on simulation methodologies used in ecosystem modeling, emphasizing their role in understanding complex ecological interactions. Contributions should present case studies or theoretical advancements in ecosystem simulations. Aligned SDGs: SDG 14 – Life Below Water  |  SDG 15 – Life on Land
  • Track 10 – Integrating Artificial Intelligence in Environmental Research
    This session explores the integration of artificial intelligence technologies in environmental research and modeling. Papers should discuss the transformative potential of AI in enhancing predictive accuracy and operational efficiency. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 13 – Climate Action
  • Track 11 – Quantitative Analysis of Environmental Data
    This track emphasizes quantitative analysis techniques applied to environmental data sets, focusing on statistical rigor and methodological advancements. Contributions should demonstrate the application of quantitative methods to real-world environmental issues. Aligned SDGs: SDG 12 – Responsible Consumption and Production  |  SDG 15 – Life on Land
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 12 SDG 12
    Responsible Consumption and Production
  • SDG 13 SDG 13
    Climate Action
  • SDG 14 SDG 14
    Life Below Water
  • SDG 15 SDG 15
    Life on Land
  • SDG 16 SDG 16
    Peace, Justice and Strong Institutions
  • SDG 17 SDG 17
    Partnerships for the Goals

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228