Call For Papers

The ICCDBP 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 Data Science , encouraging applied research, case studies, and industry-driven innovations.

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

01
Cloud computing architectures for data science
02
Data management strategies in engineering
03
Machine learning applications in cloud platforms
04
Big data analytics for engineering solutions
05
Scalable data processing in cloud environments
06
Security challenges in cloud-based data science
07
Real-time data analysis in engineering applications
08
Collaborative data science platforms for engineers
09
Data visualization techniques for engineering data
10
Cloud-based tools for predictive analytics
11
Interoperability in cloud data science platforms
12
Data governance in engineering cloud solutions
13
Performance optimization in cloud data processing
14
Case studies of cloud data science applications
15
User experience design for data science tools
16
Integrating IoT data in cloud platforms
17
Ethical considerations in cloud data usage
18
Cloud infrastructure for engineering data pipelines
19
Future trends in cloud-based data science
20
Cross-disciplinary approaches to data science

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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