International Conference on Materials Engineering and Intelligent Data Mining
(ICMEIDM-26)

26th Dec - 27th Dec 2026,
Venice, Italy

Join as Attendee Submit Your Abstract/Paper

Complete Registration → Browse conference registration categories.
Quality articles will be published in well reputed journals like Scopus Indexed or Web of Science **

Pre-Enrollment

26th November 2026

Final Paper Submission

1st December 2026

Registration Deadline

11th December`2026

Conference Date

26th Dec - 27th Dec 2026

Call for Papers

The International Conference on Materials Engineering and Intelligent Data Mining invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Data Mining, the conference aims to bridge theoretical advancements with real-world applications.

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

01
Data Mining In Materials Engineering Applications
02
Machine Learning For Material Property Prediction
03
Data-driven Innovations In Material Design
04
Big Data Challenges In Materials Research
05
Data Visualization Techniques For Materials Data
06
Predictive Analytics For Material Performance
07
Sustainability Metrics In Materials Engineering
08
Data Mining For Nanomaterials Characterization
09
Integration Of Ai In Materials Development
10
Data-driven Approaches To Recycling Materials
11
Machine Learning For Composite Materials Analysis
12
Data Mining For Failure Analysis In Materials
13
Real-time Monitoring Of Material Properties
14
Collaborative Materials Research Through Data Sharing
15
Case Studies In Materials Engineering Analytics
16
Data-driven Methodologies In Materials Research
17
Ethics In Materials Engineering Data Usage
18
Future Trends In Materials Engineering Analytics
19
Data Mining For Advanced Manufacturing Materials
20
Applications Of Data Mining In Materials Science
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All submissions undergo a rigorous peer-review process conducted by subject matter experts to ensure originality and technical quality. Accepted papers will be considered for publication in reputed journals and conference proceedings.

Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review