Pre-Enrollment

6th September 2026

Final Paper Submission

11th September 2026

Registration Deadline

21st September`2026

Conference Date

6th Oct - 7th Oct 2026

Call for Papers

The International Conference on Machine Learning Approaches for Image Analysis 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 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
Supervised Learning For Image Analysis
02
Unsupervised Learning Techniques For Images
03
Transfer Learning In Image Processing
04
Generative Models For Image Synthesis
05
Image Classification Using Deep Networks
06
Feature Learning For Image Data
07
Machine Learning For Medical Imaging
08
Data Augmentation Techniques For Images
09
Image Analysis In Engineering Workflows
10
Real-time Machine Learning For Images
11
Image Processing Challenges In Engineering
12
Robustness Of Machine Learning Models
13
Integration Of Ai In Image Analysis
14
Ethics In Machine Learning Applications
15
Scalable Image Processing Solutions
16
Machine Learning For Remote Sensing Data
17
Image Analysis For Structural Health Monitoring
18
Predictive Modeling Using Image Data
19
Collaborative Filtering For Image Datasets
20
Machine Learning In Engineering Design
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