Tentative Program

This track focuses on the latest developments in queueing theory, including novel models and analytical techniques. Researchers are encouraged to present their findings on both theoretical advancements and practical applications.

This session will explore the role of stochastic processes in modeling and analyzing network systems. Contributions that address the dynamics of networked environments through probabilistic frameworks are particularly welcome.

This track emphasizes the use of simulation methodologies to study complex stochastic systems. Participants are invited to share innovative simulation approaches and their applications in various fields.

This session aims to bridge the gap between probability theory and operations research by discussing various probability models. Papers that demonstrate the application of these models in decision-making processes are encouraged.

This track will delve into the theory and applications of random processes across different domains. Researchers are invited to present their work on both foundational aspects and applied scenarios.

This session focuses on the modeling and performance evaluation of networks using queueing theory and stochastic methods. Contributions that provide insights into network efficiency and reliability are particularly sought after.