Important Dates
Early Bird Registration :27th September 2026
Paper Submission Deadline :2nd October 2026
Last Date of Registration : 12th October 2026
Date of Conference : 27th - 28th October 2026
Conference Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.
SDG 4 — Quality Education
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 13 — Climate Action
SDG 17 — Partnerships for the Goals
Track 01
Advancements in Randomized Algorithms
This track focuses on the latest developments in randomized algorithms, emphasizing their theoretical foundations and practical applications. Researchers are encouraged to present novel approaches that enhance algorithm efficiency and effectiveness.
Track 02
Stochastic Modeling Techniques
This session will explore various stochastic modeling techniques used in diverse fields such as finance, engineering, and biology. Contributions that highlight innovative modeling approaches and their applications in real-world scenarios are welcome.
Track 03
Probability Theory in Modern Applications
This track aims to discuss contemporary applications of probability theory across different domains. Papers that bridge theoretical insights with practical implementations are particularly encouraged.
Track 04
Computational Statistics and Data Analysis
This session will highlight advancements in computational statistics, focusing on methods for analyzing complex data sets. Contributions that integrate statistical theory with computational techniques to solve real-world problems are sought.
Track 05
Simulation Methods in Stochastic Processes
This track will cover simulation methodologies applied to stochastic processes, emphasizing both theoretical and practical aspects. Researchers are invited to share their findings on the effectiveness of simulation in understanding complex systems.
Track 06
Algorithm Design for Big Data
This session focuses on innovative algorithm design tailored for big data challenges, addressing issues such as scalability and efficiency. Contributions that demonstrate the application of randomized algorithms in big data contexts are encouraged.
Track 07
Machine Learning and Statistical Inference
This track will explore the intersection of machine learning and statistical inference, highlighting methodologies that enhance predictive modeling. Papers that provide insights into the theoretical underpinnings and practical applications of these techniques are welcome.
Track 08
Optimization Techniques in Stochastic Environments
This session will address optimization techniques specifically designed for stochastic environments, focusing on their theoretical and practical implications. Researchers are invited to present novel optimization strategies that account for uncertainty.
Track 09
Quantitative Methods in Risk Analysis
This track will delve into quantitative methods employed in risk analysis across various sectors. Contributions that illustrate the application of probabilistic models and statistical techniques in assessing and managing risk are encouraged.
Track 10
Predictive Analytics in Data Science
This session will focus on the role of predictive analytics within the broader field of data science, emphasizing statistical methods and machine learning techniques. Papers that showcase successful applications of predictive models in industry are welcome.
Track 11
Research Applications of Random Processes
This track will explore the applications of random processes in various research domains, highlighting both theoretical and empirical studies. Contributions that demonstrate the relevance of random processes in solving practical problems are encouraged.