International Conference on

Statistical Learning in Data Science and AI (ICSLDSAI-26)

19th – 20th Nov 2026 | Abu Dhabi, UAE | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Statistical Learning in Data Science and AI 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 Data Science 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
Statistical learning algorithms in AI
02
Supervised vs unsupervised learning methods
03
Deep learning applications in statistics
04
Statistical learning for predictive modeling
05
Feature selection in statistical learning
06
Statistical learning in natural language processing
07
Reinforcement learning and statistics
08
Statistical learning in computer vision
09
Model evaluation in statistical learning
10
Statistical learning for big data
11
Ethics in AI and statistical learning
12
Transfer learning in statistical applications
13
Statistical learning for time series forecasting
14
Hybrid models in statistical learning
15
Statistical learning in healthcare analytics
16
Statistical learning for anomaly detection
17
Applications of statistical learning in finance
18
Statistical learning frameworks and tools
19
Challenges in statistical learning research
20
Future trends in statistical learning
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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