International Conference on Computational Modeling of Complex Systems and Networks
(ICCMCSN-26)

25th October 2026 || Guwahati - India || Hybrid Mode

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Conference Session Tracks

The International Conference on Computational Modeling of Complex Systems and Networks (ICCMCSN), scheduled to be held on 25th October 2026 in Guwahati, 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 Algorithms for Complex Systems
    This track focuses on the development and analysis of novel algorithms tailored for modeling and simulating complex systems. Contributions that explore algorithmic efficiency and scalability in computational science are particularly encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 02 – Data-Driven Approaches in Network Analysis
    This session invites papers that utilize data science techniques to analyze and interpret complex networks. Emphasis will be placed on methodologies that leverage machine learning and statistical modeling for network insights. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 03 – Graph Theory Applications in Computational Modeling
    This track explores the application of graph theory to solve problems in computational modeling of complex systems. Submissions should highlight innovative uses of graph-theoretic concepts in real-world scenarios. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 04 – Predictive Analytics in Complex Systems
    This session aims to showcase research that employs predictive analytics to forecast behaviors and trends in complex systems. Papers should demonstrate the integration of statistical methods and machine learning techniques. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 13 – Climate Action
  • Track 05 – Optimization Techniques for Computational Models
    This track addresses optimization methods used in the computational modeling of complex systems. Contributions that present new optimization algorithms or enhance existing ones are highly sought after. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Simulation Methods in Applied Mathematics
    This session focuses on simulation techniques that are pivotal in applied mathematics for modeling complex systems. Papers should discuss the effectiveness and applicability of various simulation strategies. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 07 – Statistical Modeling in Network Dynamics
    This track invites contributions that utilize statistical modeling to understand the dynamics of complex networks. Emphasis will be placed on innovative approaches that provide insights into network behavior over time. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 08 – Machine Learning Innovations in Computational Science
    This session highlights cutting-edge machine learning techniques that enhance computational science applications. Papers should demonstrate the impact of these innovations on modeling and analysis of complex systems. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Quantitative Methods for Complex Systems Analysis
    This track focuses on the application of quantitative methods to analyze complex systems. Contributions that provide new insights or methodologies in quantitative analysis are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Artificial Intelligence in Network Optimization
    This session explores the role of artificial intelligence in optimizing network structures and functions. Papers should present novel AI-driven approaches that improve network performance and efficiency. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 11 – Interdisciplinary Approaches to Computational Modeling
    This track encourages interdisciplinary research that combines mathematics, statistics, and computational science to address complex systems. Submissions should highlight collaborative efforts and novel perspectives in modeling. Aligned SDGs: SDG 4 – Quality Education  |  SDG 17 – Partnerships for the Goals
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 4 SDG 4
    Quality Education
  • 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 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