International Conference on Algorithm Development for Computational Science
(ICADCS-26)

22nd November 2026 || Ahmedabad - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Algorithm Development for Computational Science (ICADCS), scheduled to be held on 22nd November 2026 in Ahmedabad, 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 – Innovations in Algorithm Development
    This track focuses on the latest advancements in algorithm design and their applications in computational science. Researchers are encouraged to present novel algorithms that enhance computational efficiency and accuracy. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 02 – Statistical Modeling in Computational Science
    This session aims to explore the integration of statistical modeling techniques within computational frameworks. Contributions that demonstrate the application of statistical methods to solve complex scientific problems are welcome. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Machine Learning and Data Science Applications
    This track highlights the intersection of machine learning and data science in computational research. Papers that showcase innovative applications of these fields to real-world challenges are particularly encouraged. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Optimization Techniques in High-Performance Computing
    This session will delve into optimization strategies tailored for high-performance computing environments. Researchers are invited to share their findings on optimizing algorithms for enhanced computational speed and resource utilization. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 05 – Numerical Methods for Complex Systems
    This track focuses on the development and application of numerical methods for modeling complex systems in computational science. Contributions that address challenges in numerical stability, convergence, and efficiency are sought. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 13 – Climate Action
  • Track 06 – Predictive Analytics in Computational Research
    This session aims to explore the role of predictive analytics in advancing computational science. Papers that demonstrate the use of predictive models to inform decision-making and enhance research outcomes are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 07 – Big Data and Knowledge Discovery
    This track examines the methodologies for extracting knowledge from large datasets in computational science. Contributions that highlight innovative techniques for data mining and knowledge discovery are welcome. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Artificial Intelligence in Simulation and Modeling
    This session focuses on the application of artificial intelligence techniques in simulation and modeling processes. Researchers are invited to present work that integrates AI to improve the accuracy and efficiency of simulations. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 09 – Quantitative Analysis in Computational Studies
    This track emphasizes the importance of quantitative analysis in computational science research. Papers that utilize quantitative methods to derive insights from data and validate models are encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – Computational Methods for Real-World Applications
    This session highlights the application of computational methods to address real-world challenges across various domains. Contributions that demonstrate the practical implications of computational techniques are particularly welcome. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Emerging Trends in Computational Science
    This track invites discussions on emerging trends and future directions in computational science. Researchers are encouraged to present visionary ideas and innovative approaches that could shape the field. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  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 8 SDG 8
    Decent Work and Economic Growth
  • 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 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