Pre-Enrollment

5th November 2026

Final Paper Submission

10th November 2026

Registration Deadline

20th November`2026

Conference Date

5th Dec - 6th Dec 2026

Call for Papers

The International Conference on Machine Learning for Fault Diagnosis 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 Science, 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 For Fault Diagnosis
02
Predictive Analytics In Engineering Systems
03
Challenges In Fault Diagnosis Applications
04
Real-time Monitoring For Fault Detection
05
Statistical Methods For Fault Diagnosis
06
Impact Of Iot On Fault Diagnosis
07
Data Fusion Techniques For Diagnosis
08
Visualization Of Fault Diagnosis Results
09
Machine Learning Algorithms For Fault Detection
10
Future Trends In Fault Diagnosis Technology
11
Integration Of Diverse Data Sources
12
Ethical Considerations In Fault Diagnosis
13
Adaptive Fault Diagnosis Strategies Using Ai
14
Collaborative Approaches To Fault Diagnosis
15
Benchmarking Fault Diagnosis Models
16
User Experience In Fault Diagnosis Applications
17
Data-driven Decision Making In Diagnostics
18
Machine Learning Frameworks For Fault Diagnosis
19
Applications Of Deep Learning In Diagnostics
20
Case Studies In Fault Diagnosis Success
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