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 Meta-Learning for Engineering Problems 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
Meta-learning Techniques For Engineering Problems
02
Applications Of Meta-learning In Ai
03
Improving Model Generalization With Meta-learning
04
Case Studies In Meta-learning Applications
05
Challenges In Meta-learning Research
06
Transfer Learning And Meta-learning Synergy
07
Meta-learning For Hyperparameter Optimization
08
Real-world Applications Of Meta-learning
09
Data-efficient Learning With Meta-learning
10
Ethical Considerations In Meta-learning
11
Future Trends In Meta-learning Research
12
Collaborative Meta-learning Frameworks
13
Meta-learning For Time-series Analysis
14
User Experiences With Meta-learning Tools
15
Meta-learning In Reinforcement Learning Contexts
16
Benchmarking Meta-learning Methodologies
17
Meta-learning For Adaptive Systems
18
Applications In Robotics And Automation
19
Meta-learning For Personalized Learning Systems
20
Impact Of Meta-learning On Ai Development
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