Important Dates
Early Bird Registration :19th July 2026
Paper Submission Deadline :24th July 2026
Last Date of Registration : 3rd August 2026
Date of Conference : 18th - 19th August 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 3 — Good Health and Well-being
SDG 4 — Quality Education
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 10 — Reduced Inequalities
SDG 12 — Responsible Consumption and Production
SDG 16 — Peace, Justice and Strong Institutions
SDG 17 — Partnerships for the Goals
Track 01
Advancements in Statistical Learning Techniques
This track focuses on the latest methodologies and innovations in statistical learning. Participants are encouraged to present their findings on new algorithms and frameworks that enhance predictive accuracy.
Track 02
Applications of Machine Learning in Real-World Scenarios
This session explores the practical applications of machine learning across various industries. Researchers are invited to share case studies that demonstrate the impact of machine learning on decision-making processes.
Track 03
Neural Networks: Theory and Applications
This track delves into the theoretical foundations and practical applications of neural networks. Contributions that highlight novel architectures or improvements in training techniques are particularly welcome.
Track 04
Predictive Analytics in Business and Finance
This session addresses the role of predictive analytics in enhancing business strategies and financial forecasting. Participants will discuss models that successfully predict market trends and consumer behavior.
Track 05
Computational Statistics: Methods and Innovations
This track emphasizes the development and application of computational methods in statistical analysis. Researchers are invited to present innovative techniques that improve computational efficiency and accuracy.
Track 06
Data Mining Techniques for Knowledge Discovery
This session focuses on data mining methodologies that facilitate knowledge discovery from large datasets. Presentations should highlight novel approaches that uncover hidden patterns and insights.
Track 07
Statistical Modeling: Challenges and Solutions
This track addresses the challenges faced in statistical modeling and offers solutions to overcome them. Contributions that propose new modeling techniques or refine existing ones are encouraged.
Track 08
Probabilistic Methods in Statistical Inference
This session explores the application of probabilistic methods in statistical inference. Researchers are invited to discuss advancements that enhance the robustness and reliability of inferential statistics.
Track 09
Applied Statistics in Health and Social Sciences
This track highlights the application of statistical methods in health and social science research. Contributions that demonstrate the impact of statistical analysis on public health and social issues are particularly welcome.
Track 10
Ethics and Accountability in AI Applications
This session addresses the ethical considerations and accountability in the deployment of artificial intelligence applications. Participants are encouraged to explore frameworks that ensure responsible AI usage.
Track 11
Future Directions in Statistical Learning and AI
This track invites discussions on the future trends and directions in statistical learning and artificial intelligence. Researchers are encouraged to propose innovative ideas that could shape the next generation of statistical methodologies.