Pre-Enrollment

3rd September 2026

Final Paper Submission

8th September 2026

Registration Deadline

18th September`2026

Conference Date

3rd Oct - 4th Oct 2026

Call for Papers

The International Conference on Data Mining and Image Analytics for Engineering Solutions 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 Image Processing, 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 Techniques In Image Analytics
02
Image Analytics For Engineering Solutions
03
Big Data Applications In Image Processing
04
Machine Learning For Image Analysis
05
Predictive Analytics In Engineering Images
06
Data-driven Decision Making In Engineering
07
Image Classification And Recognition
08
Feature Extraction In Image Data
09
Data Visualization Techniques For Images
10
Real-time Data Mining In Engineering
11
Image Analytics For Quality Assurance
12
Deep Learning In Image Analytics
13
Data Mining For Industrial Applications
14
Image Segmentation Techniques
15
Data Mining In Remote Sensing
16
Automated Image Analysis Systems
17
Image Analytics For Smart Manufacturing
18
Data Mining For Environmental Engineering
19
Challenges In Image Data Mining
20
Future Trends In Image Analytics
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