Flex Conference (Physical / Digital)

International Conference on Visual Data Science and Image Analytics - (ICVDSIA-27)

18th - 19th May 2027 , Ottawa - Canada

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Call For Papers

The (ICVDSIA-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Vision Engineering are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Visual data science techniques and methodologies
  • Applications of image analytics in business
  • Challenges in visual data science research
  • Machine learning for visual data insights
  • Real-time visual data processing systems
  • User experience in visual data analytics tools
  • Visual data science for social media analysis
  • Ethics in visual data science applications
  • Visual data science in healthcare analytics
  • Future trends in visual data science
  • Case studies in visual data analytics
  • Visual data science for environmental monitoring
  • Innovations in visual data science technologies
  • Visual data science for smart cities
  • Applications of visual analytics in education
  • Visual data science for marketing strategies
  • Data visualization techniques for visual data
  • Visual data science in finance and investment
  • User-centered design in visual data tools
  • Visual data science for public policy analysis

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.