International Conference on Advanced Computing and Data Optimization
(ICACDOP-26)

7th November 2026 || Chennai - India || Hybrid Mode

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Conference Session Tracks

The International Conference on Advanced Computing and Data Optimization (ICACDOP), scheduled to be held on 7th November 2026 in Chennai, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of 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 – High-Performance Computing in Data Science
    This track focuses on the advancements in high-performance computing technologies that facilitate large-scale data analysis. Participants will explore methodologies that enhance computational efficiency and speed in data-intensive applications. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 02 – Parallel Computing Techniques for Big Data
    This session addresses the innovative parallel computing techniques that are essential for processing and analyzing big data. Discussions will include algorithmic strategies and frameworks that optimize performance in distributed environments. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 03 – Distributed Systems for Data Analytics
    This track examines the role of distributed systems in enhancing data analytics capabilities. It will cover architectural designs and implementation strategies that improve data processing and storage across multiple nodes. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 04 – Machine Learning Algorithms for Predictive Analytics
    This session delves into the development and application of machine learning algorithms tailored for predictive analytics. Researchers will present novel approaches that leverage data patterns to forecast outcomes in various domains. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 05 – Artificial Intelligence in Data Optimization
    This track explores the integration of artificial intelligence techniques in optimizing data processes. Participants will discuss AI-driven methodologies that enhance data quality, accessibility, and usability. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Cloud Computing Solutions for Data Science
    This session highlights the impact of cloud computing on data science practices. It will focus on scalable solutions that enable efficient data storage, processing, and analysis in cloud environments. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 07 – Simulation Techniques in Data Analysis
    This track investigates simulation techniques that are pivotal in data analysis and modeling. Participants will explore how simulations can be utilized to validate models and enhance decision-making processes. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Optimization Methods in Data Science
    This session focuses on optimization methods that are crucial for improving data-driven decision-making. Discussions will include algorithmic advancements that enhance the efficiency of data processing tasks. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Data Analytics Applications in Industry
    This track showcases real-world applications of data analytics across various industries. Researchers and practitioners will share case studies demonstrating the transformative impact of data-driven insights. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – Algorithms for Data Mining and Knowledge Discovery
    This session explores advanced algorithms designed for data mining and knowledge discovery. Participants will discuss innovative techniques that uncover hidden patterns and insights from large datasets. Aligned SDGs: SDG 16 – Peace, Justice and Strong Institutions
  • Track 11 – Ethics and Governance in Data Science
    This track addresses the ethical considerations and governance frameworks necessary for responsible data science practices. Discussions will focus on data privacy, security, and the societal implications of data usage. Aligned SDGs: SDG 16 – Peace, Justice and Strong Institutions  |  SDG 10 – Reduced Inequalities
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 8 SDG 8
    Decent Work and Economic Growth
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 10 SDG 10
    Reduced Inequalities
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 12 SDG 12
    Responsible Consumption and Production
  • SDG 16 SDG 16
    Peace, Justice and Strong Institutions

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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