International Conference on Data-Intensive Scientific Computing and Simulation
(ICDISCS-26)

26th December 2026 || Ahmedabad - India || Hybrid Mode

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Conference Session Tracks

The International Conference on Data-Intensive Scientific Computing and Simulation (ICDISCS), scheduled to be held on 26th December 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,Data 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 – Advancements in High-Performance Computing
    This track focuses on the latest developments in high-performance computing technologies and their applications in scientific research. Participants will explore novel architectures, parallel processing techniques, and optimization strategies that enhance computational efficiency. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 02 – Machine Learning Techniques for Data Analysis
    This session will delve into innovative machine learning methodologies tailored for data-intensive applications. Researchers are invited to present their findings on algorithmic advancements and practical implementations in various scientific domains. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Big Data Analytics in Computational Science
    This track addresses the challenges and solutions associated with big data analytics in computational science. Contributions will highlight novel approaches to data management, processing, and visualization in large-scale scientific datasets. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 04 – Modeling Complex Systems with Statistical Methods
    This session emphasizes the application of statistical methods in modeling and analyzing complex systems. Participants will discuss methodologies that bridge theoretical statistics and practical applications in various fields. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 05 – Optimization Algorithms for Data-Driven Decision Making
    This track explores optimization algorithms designed to enhance decision-making processes in data-intensive environments. Researchers will present case studies and theoretical advancements that demonstrate the efficacy of these algorithms. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Automation in Scientific Computing
    This session focuses on the role of automation in enhancing the efficiency and accuracy of scientific computing processes. Contributions will cover automated workflows, tools, and frameworks that facilitate data analysis and simulation. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 07 – Parallel Computing Techniques for Large-Scale Simulations
    This track investigates parallel computing techniques that enable large-scale simulations in various scientific fields. Participants will share insights on performance optimization and scalability challenges in parallel computing environments. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Data Mining Approaches in Scientific Research
    This session highlights data mining techniques that extract valuable insights from complex datasets in scientific research. Researchers are encouraged to present novel algorithms and their applications across different scientific disciplines. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Quantitative Analysis in Applied Mathematics
    This track focuses on quantitative analysis methods within the realm of applied mathematics. Participants will discuss theoretical developments and practical applications that address real-world problems through quantitative modeling. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – Artificial Intelligence in Data Science
    This session explores the intersection of artificial intelligence and data science, emphasizing innovative applications and methodologies. Researchers will present case studies that demonstrate the transformative impact of AI on data-driven insights. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Statistical Modeling and Simulation Techniques
    This track covers the latest advancements in statistical modeling and simulation techniques used in various scientific domains. Participants will share their research on the development and application of these techniques to solve complex problems. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
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 12 SDG 12
    Responsible Consumption and Production

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]

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