Call For Papers

The ICADK 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 Artificial Intelligence, Data Science, Machine Learning , encouraging applied research, case studies, and industry-driven innovations.

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

01
AI-driven analytics for knowledge discovery
02
Data mining techniques in AI applications
03
AI for enhancing data-driven decision making
04
Knowledge representation in AI systems
05
AI applications in business intelligence
06
Data quality assessment in AI projects
07
AI for automated data analysis
08
Ethics of AI in data analytics
09
AI in scientific research and discovery
10
AI techniques for data visualization
11
AI-powered tools for data exploration
12
Challenges in AI-driven knowledge management
13
AI for real-time data insights
14
AI applications in social sciences
15
AI in environmental data analysis
16
AI for improving data accessibility
17
AI in the context of open data
18
AI for enhancing user experience in analytics
19
Future of AI in data discovery
20
AI and data science in public policy

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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