International Conference on

Machine Learning Applications in Information Technology (ICMLAIT-26)

7th – 8th Oct 2026 | Doha, Qatar | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Machine Learning Applications in Information Technology 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 Information Technology 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
Applications of machine learning
02
Deep learning techniques and frameworks
03
Machine learning in healthcare
04
Natural language processing advancements
05
Reinforcement learning applications
06
Ethics in machine learning
07
Machine learning for big data
08
Model interpretability and explainability
09
Transfer learning techniques
10
Machine learning in finance
11
Computer vision applications
12
Time series analysis with ML
13
Machine learning in cybersecurity
14
Automated machine learning tools
15
Data preprocessing for ML models
16
Machine learning in IoT applications
17
Challenges in implementing ML solutions
18
Future trends in machine learning
19
Collaborative machine learning approaches
20
Machine learning for social impact
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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