Tentative Program

This track focuses on the latest theoretical developments in Markov processes, emphasizing their applications across various fields. Researchers are encouraged to present novel methodologies and findings that enhance the understanding of these stochastic models.

This session explores the principles of queueing theory and its practical applications in diverse industries. Contributions that demonstrate innovative solutions to real-world queueing problems are particularly welcome.

This track highlights advanced stochastic modeling techniques used in various domains, including finance, telecommunications, and healthcare. Participants are invited to share their insights on model formulation, validation, and application.

This session examines the role of probability theory in data science, focusing on its applications in predictive analytics and machine learning. Researchers are encouraged to present studies that bridge theoretical concepts with practical implementations.

This track is dedicated to statistical methods that assess and improve system reliability. Papers that explore innovative approaches to reliability modeling and analysis are highly encouraged.

This session focuses on the intersection of operations research and optimization techniques in solving complex decision-making problems. Contributions that utilize stochastic models to enhance operational efficiency are particularly sought after.