Call For Papers

The ICVDSIA bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Vision Engineering , encouraging applied research, case studies, and industry-driven innovations.

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

01
Visual data science techniques and methodologies
02
Applications of image analytics in business
03
Challenges in visual data science research
04
Machine learning for visual data insights
05
Real-time visual data processing systems
06
User experience in visual data analytics tools
07
Visual data science for social media analysis
08
Ethics in visual data science applications
09
Visual data science in healthcare analytics
10
Future trends in visual data science
11
Case studies in visual data analytics
12
Visual data science for environmental monitoring
13
Innovations in visual data science technologies
14
Visual data science for smart cities
15
Applications of visual analytics in education
16
Visual data science for marketing strategies
17
Data visualization techniques for visual data
18
Visual data science in finance and investment
19
User-centered design in visual data tools
20
Visual data science for public policy analysis

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.



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