International Conference on Machine Learning and Data Mining in Engineering
(ICMLDME-26)

26th Dec - 27th Dec 2026,
Manchester, UK

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 Machine Learning and Data Mining in Engineering 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
Machine Learning Algorithms For Engineering Applications
02
Data Mining Techniques In Structural Engineering
03
Predictive Analytics For Engineering Design
04
Big Data Challenges In Engineering Fields
05
Ai Applications In Engineering Problem Solving
06
Data-driven Optimization In Engineering Processes
07
Statistical Methods For Engineering Data Analysis
08
Machine Learning For Materials Engineering
09
Engineering Data Visualization Techniques
10
Real-time Data Processing In Engineering
11
Data Mining For Fault Detection In Engineering
12
Integration Of Iot In Engineering Analytics
13
Sustainability Metrics In Engineering Projects
14
Data Mining For Risk Assessment In Engineering
15
Collaborative Engineering Through Data Sharing
16
Machine Learning For Energy Systems
17
Data-driven Innovation In Engineering Education
18
Ethics In Machine Learning Applications
19
Future Of Data Mining In Engineering
20
Case Studies Of Successful Data Mining
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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