International Conference on Visualization, Data Representation, and Analytics
(ICVDRA-26)

19th December 2026 || Jaipur - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Visualization, Data Representation, and Analytics (ICVDRA), scheduled to be held on 19th December 2026 in Jaipur, 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 Data Visualization Techniques
    This track focuses on the latest methodologies and technologies in data visualization, emphasizing innovative approaches to represent complex datasets. Participants will explore case studies that highlight the effectiveness of visual tools in enhancing data comprehension. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 02 – Machine Learning Applications in Data Science
    This session will delve into the integration of machine learning algorithms within data science frameworks, showcasing practical applications and theoretical advancements. Contributions will include discussions on model development, evaluation, and real-world impact. Aligned SDGs: SDG 8 – Decent Work and Economic Growth
  • Track 03 – Big Data Analytics and Its Implications
    This track aims to address the challenges and opportunities presented by big data analytics in various domains. Researchers will present their findings on data processing, storage solutions, and analytical techniques that drive insights from large datasets. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 04 – Computational Models in Scientific Research
    This session will explore the role of computational models in advancing scientific research across disciplines. Presentations will focus on simulation techniques, model validation, and the application of algorithms to solve complex scientific problems. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 05 – Data Mining Techniques for Pattern Recognition
    This track will highlight the latest developments in data mining techniques aimed at identifying patterns within large datasets. Participants will discuss methodologies, tools, and applications that enhance pattern recognition capabilities. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Optimization Algorithms in Data Science
    This session will cover optimization algorithms and their critical role in enhancing data-driven decision-making processes. Researchers will present novel approaches and case studies that demonstrate the effectiveness of optimization in various applications. Aligned SDGs: SDG 8 – Decent Work and Economic Growth
  • Track 07 – Human-Computer Interaction in Data Visualization
    This track will investigate the intersection of human-computer interaction and data visualization, focusing on user experience and interface design. Presentations will address how effective design can improve data interpretation and user engagement. Aligned SDGs: SDG 4 – Quality Education
  • Track 08 – Predictive Modeling Techniques in Analytics
    This session will explore predictive modeling techniques that leverage historical data to forecast future trends. Participants will share insights on model selection, validation, and the implications of predictive analytics in decision support systems. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
  • Track 09 – Simulation Techniques in Computational Science
    This track will focus on the application of simulation techniques in computational science, emphasizing their importance in modeling real-world phenomena. Contributions will include discussions on algorithmic approaches and their effectiveness in various scientific applications. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – Artificial Intelligence in Data Representation
    This session will explore the role of artificial intelligence in enhancing data representation techniques. Researchers will present innovative applications that utilize AI to improve the clarity and accessibility of complex data. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Decision Support Systems and Data Analytics
    This track will examine the integration of data analytics within decision support systems, focusing on how analytical insights can inform strategic decision-making. Participants will discuss case studies that illustrate the impact of data-driven decisions in various sectors. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  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 11 SDG 11
    Sustainable Cities and Communities

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