International Conference on Statistical Learning and Stochastic Methods ICSL-SM

Call For Papers

The ICSL-SM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Probability Theory, Statistics , encouraging applied research, case studies, and industry-driven innovations.

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

Stochastic methods in machine learning

Statistical learning for dynamic systems

Stochastic modeling in data science

Applications of stochastic methods in finance

Statistical learning in time series forecasting

Stochastic methods for optimization problems

Statistical learning in computer vision

Stochastic modeling in healthcare systems

Applications of stochastic methods in engineering

Statistical learning for anomaly detection

Stochastic processes in artificial intelligence

Statistical learning in social sciences

Stochastic methods for risk management

Statistical learning in environmental modeling

Stochastic modeling in telecommunications

Applications of stochastic methods in logistics

Statistical learning for user behavior analysis

Stochastic methods in operations research

Statistical learning in energy systems

Stochastic modeling in supply chain optimization

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event