International Conference on

Optimization Techniques with Machine Learning (ICOTML-26)

14th – 15th Dec 2026 | Munich, Germany | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Optimization Techniques with Machine Learning 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 Machine Learning 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
Optimization algorithms in machine learning
02
Hyperparameter tuning techniques
03
Metaheuristic optimization methods
04
Applications of optimization in ML
05
Real-time optimization strategies
06
Multi-objective optimization approaches
07
Optimization for large-scale ML problems
08
Stochastic optimization techniques
09
Gradient-based optimization methods
10
Optimization in neural network training
11
Robust optimization in uncertain environments
12
Optimization for resource allocation
13
Evolutionary algorithms in ML
14
Data-driven optimization strategies
15
Optimization for reinforcement learning
16
Dynamic optimization techniques
17
Applications of optimization in finance
18
Future trends in optimization research
19
Optimization in supply chain management
20
Collaborative optimization techniques
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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