ISAR Conference

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ISAR Conference

International Virtual Conference, July 2025.

ISAR Conference

International Virtual Conference, August 2025.

Call for Papers

The (ICSL-AI-27) invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Statistical Learning and Artificial Intelligence, the conference aims to bridge theoretical advancements with real-world applications. It encourages forward-thinking research that addresses contemporary challenges while contributing to long-term scientific and technological progress.

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

Statistical learning in artificial intelligence
Applications of AI in statistical modeling
Machine learning techniques for data analysis
Statistical methods for predictive modeling
Deep learning and statistical inference
Statistical challenges in AI research
Causal inference in statistical learning
Data-driven approaches to AI development
Statistical evaluation of machine learning models
Feature engineering in statistical learning
Bayesian methods in AI applications
Statistical frameworks for AI ethics
Statistical techniques for big data analysis
Unsupervised learning and statistical methods
Statistical power analysis in AI studies
Reinforcement learning and statistical approaches
Statistical tools for AI interpretability
Data privacy issues in statistical learning
Statistical methods for time series forecasting
Statistical education for AI practitioners

Peer Review & Publication

The conference welcomes theoretical, empirical, and applied research contributions. All submissions will undergo a rigorous peer-review process conducted by subject matter experts to ensure originality, technical quality, and relevance.
Accepted papers will be presented during the conference and considered for publication in reputed journals and conference proceedings, providing global visibility to the authors.

Registration Details

Authors of accepted papers are required to complete the registration process to confirm their participation. Early registration is recommended to secure presentation slots and access all conference sessions.