Tentative Program

This track focuses on the latest developments in applied probability, emphasizing innovative methodologies and their practical applications. Researchers are invited to present studies that bridge theoretical concepts with real-world scenarios.

This session will explore various queuing models and their applications across different industries, including telecommunications, healthcare, and manufacturing. Contributions that demonstrate the impact of queuing theory on operational efficiency are particularly encouraged.

This track aims to highlight cutting-edge optimization techniques utilized in operations research, focusing on both deterministic and stochastic models. Papers that address complex decision-making problems and provide computational insights are welcome.

This session will delve into the application of stochastic processes in various fields, including finance, engineering, and environmental science. Participants are encouraged to share their findings on how stochastic modeling can inform decision-making and risk assessment.

This track will cover advancements in simulation modeling techniques, including discrete-event simulation and agent-based modeling. Contributions that showcase innovative applications and case studies are highly encouraged.

This session focuses on the integration of data analytics with operations research methodologies to enhance decision-making processes. Researchers are invited to present their work on data-driven approaches that optimize performance and efficiency.