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


4th - 5th November, 2026 | Wuhan, China

Multi-format (In-person/Virtual)

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Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

5th October, 2026

Paper Submission Deadline

10th October, 2026

Last Date Of Registration

20th October, 2026

Date Of Conference

4th - 5th November, 2026

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Call for Papers

The (ICSLDSAI-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

  • Statistical learning algorithms in AI
  • Supervised vs unsupervised learning methods
  • Deep learning applications in statistics
  • Statistical learning for predictive modeling
  • Feature selection in statistical learning
  • Statistical learning in natural language processing
  • Reinforcement learning and statistics
  • Statistical learning in computer vision
  • Model evaluation in statistical learning
  • Statistical learning for big data
  • Ethics in AI and statistical learning
  • Transfer learning in statistical applications
  • Statistical learning for time series forecasting
  • Hybrid models in statistical learning
  • Statistical learning in healthcare analytics
  • Statistical learning for anomaly detection
  • Applications of statistical learning in finance
  • Statistical learning frameworks and tools
  • Challenges in statistical learning research
  • Future trends in statistical learning

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.