This track focuses on the latest methodologies and frameworks in knowledge engineering that enhance decision-making processes. Contributions that explore novel techniques for knowledge capture and representation are particularly encouraged.

This session aims to showcase the application of decision support systems across various engineering disciplines. Papers that illustrate real-world implementations and case studies are welcome.

This track examines the role of collaborative engineering practices in facilitating knowledge sharing among teams. Contributions that highlight tools and strategies for enhancing collaboration in engineering projects are sought.

This session addresses the integration of workflow automation in engineering processes to optimize efficiency and productivity. Papers that discuss innovative automation techniques and their impact on project outcomes are encouraged.

This track explores the use of data analytics in monitoring and enhancing engineering performance. Submissions that present analytical models and their applications in performance assessment are invited.

This session focuses on the challenges and solutions related to system integration in engineering environments. Contributions that discuss frameworks for integrating diverse systems to support decision-making are welcome.