This track focuses on innovative methodologies in stochastic modeling, emphasizing their application in various fields. Participants are encouraged to present novel approaches that enhance the understanding of complex systems through stochastic processes.

This session explores the latest advancements in queueing models and their practical applications in industries such as telecommunications and logistics. Researchers are invited to discuss theoretical developments and empirical studies that address real-world queueing challenges.

This track delves into the theory of martingales, highlighting their significance in probability theory and statistical inference. Contributions that showcase the application of martingale techniques in finance, insurance, and other domains are particularly welcome.

This session aims to explore the role of diffusion processes in modeling random phenomena across various disciplines. Participants are encouraged to share insights into both theoretical advancements and practical applications of diffusion models.

This track examines the theoretical foundations and applications of random walks in diverse contexts, including physics, biology, and economics. Researchers are invited to present new findings that enhance the understanding of random walk behavior.

This session focuses on statistical methods for inference in stochastic processes, addressing both parametric and non-parametric approaches. Contributions that integrate theory with practical applications in data analysis are highly encouraged.