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Call for Paper

The ICEIDM 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 Data Mining 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:

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

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.

👉 Register Now

Publication

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

👉 Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.