International Conference on

Machine Learning Approaches for Image Analysis in Engineering (ICMLAIE-26)

22nd – 23rd Oct 2026 | Porto, Portugal | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Machine Learning Approaches for Image Analysis in Engineering invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Image Processing encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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