Flex Conference (Physical / Digital)

International Conference on Meta-Learning for Engineering Problems (ICMLEP - 27)

Call for Paper

The ICMLEP provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Data Science encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Meta-learning techniques for engineering problems
  • Applications of meta-learning in AI
  • Improving model generalization with meta-learning
  • Case studies in meta-learning applications
  • Challenges in meta-learning research
  • Transfer learning and meta-learning synergy
  • Meta-learning for hyperparameter optimization
  • Real-world applications of meta-learning
  • Data-efficient learning with meta-learning
  • Ethical considerations in meta-learning
  • Future trends in meta-learning research
  • Collaborative meta-learning frameworks
  • Meta-learning for time-series analysis
  • User experiences with meta-learning tools
  • Meta-learning in reinforcement learning contexts
  • Benchmarking meta-learning methodologies
  • Meta-learning for adaptive systems
  • Applications in robotics and automation
  • Meta-learning for personalized learning systems
  • Impact of meta-learning on AI development

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

Important Dates

Early Bird Registration :8th May 2027

Paper Submission Deadline :13th May 2027

Last Date of Registration : 23rd May 2027

Date of Conference : 7th - 8th June 2027