Call For Papers

The ICDDEMA 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 Mining , encouraging applied research, case studies, and industry-driven innovations.

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

01
Data-driven engineering methodologies and practices
02
Machine learning for engineering process optimization
03
Predictive analytics in engineering decision making
04
Big data challenges in engineering applications
05
Data mining techniques for engineering innovation
06
Data visualization for engineering insights
07
Real-time data processing in engineering systems
08
Integration of AI in engineering solutions
09
Collaborative engineering through data sharing
10
Case studies in data-driven engineering
11
Data mining for risk management in engineering
12
Ethics in data-driven engineering practices
13
Future trends in data-driven engineering
14
Data mining for performance evaluation in engineering
15
Data-driven methodologies in engineering research
16
Machine learning for engineering education
17
Data mining for project management in engineering
18
Applications of data mining in engineering fields
19
Data-driven innovations in engineering practices
20
Data mining for sustainable engineering solutions

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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