This track focuses on the latest advancements in big data analytics techniques and tools. Researchers are invited to present their findings on novel methodologies that enhance data interpretation and decision-making.

This session explores the integration of machine learning algorithms in various engineering domains. Contributions that demonstrate practical applications and case studies are highly encouraged.

This track examines the role of cloud computing in facilitating big data processing and storage. Papers should address scalability, performance, and cost-effectiveness of cloud-based solutions.

This session focuses on the development of intelligent systems that leverage big data for automation. Contributions should highlight innovative approaches to system design and optimization.

This track investigates the application of predictive analytics in enhancing IT infrastructure management. Researchers are invited to discuss techniques that improve reliability and efficiency.

This session addresses challenges and solutions related to data integration in big data environments. Contributions should explore methodologies that ensure seamless data flow across diverse systems.