International Conference on Visual Data Science and Image Analytics
(ICVDSIA-26)

24th October 2026 || Bangalore - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Visual Data Science and Image Analytics (ICVDSIA), scheduled to be held on 24th October 2026 in Bangalore, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Vision Engineering.

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 Visual Data Science
    This track focuses on the latest methodologies and technologies in visual data science. Researchers are invited to present innovative approaches that enhance the understanding and interpretation of complex visual datasets. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 4 – Quality Education
  • Track 02 – Machine Vision Applications in Industry
    This session explores the integration of machine vision technologies in various industrial applications. Contributions should highlight case studies and advancements that demonstrate the impact of machine vision on operational efficiency. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Statistical Techniques in Image Processing
    This track emphasizes the application of statistical methods in image processing to improve accuracy and reliability. Papers should discuss novel statistical models and their effectiveness in analyzing visual data. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Big Data and Vision Analytics
    This session addresses the challenges and opportunities presented by big data in the field of vision analytics. Researchers are encouraged to share insights on data management, processing techniques, and visualization strategies. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 05 – Real-Time Image Analytics
    This track focuses on the development and implementation of real-time image analytics systems. Contributions should demonstrate innovative algorithms and technologies that facilitate immediate insights from visual data. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 06 – AI-Driven Visual Insights
    This session explores the role of artificial intelligence in extracting meaningful insights from visual data. Papers should present novel AI techniques that enhance the interpretation and usability of visual information. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 4 – Quality Education
  • Track 07 – Data Visualization Techniques for Image Analytics
    This track invites discussions on advanced data visualization techniques specifically tailored for image analytics. Researchers should present methods that improve the clarity and effectiveness of visual data representation. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 08 – Image Mining and Knowledge Discovery
    This session delves into image mining techniques that facilitate knowledge discovery from large visual datasets. Contributions should highlight innovative approaches to uncover patterns and insights from images. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 09 – Intelligent Visual Systems
    This track focuses on the development of intelligent visual systems that leverage machine learning and computer vision. Papers should discuss system design, implementation, and real-world applications. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 10 – Computer Graphics in Image Processing
    This session explores the intersection of computer graphics and image processing. Researchers are encouraged to present advancements that enhance visual quality and processing efficiency. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 11 – Future Trends in Vision Engineering
    This track invites forward-looking discussions on emerging trends and technologies in vision engineering. Contributions should speculate on the future landscape of visual data science and its implications for various fields. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 4 – Quality Education
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