Hybrid Conferencee

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

4th - 5th November 2026 | Kuching, Malaysia

10% DISCOUNT

Maximum discount capped at $30. Activate your Scholarly Discount during the payment phase to lower your final checkout amount.

REVEAL OFFER
EARLY10
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Kuching. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Kuching event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Kuching conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Kuching, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Kuching."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMEIDM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Mining, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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