This track focuses on the development and implementation of decision support systems tailored for engineering applications. Emphasis will be placed on how these systems enhance decision-making processes through data-driven insights.

This session explores methodologies for effective knowledge capture and management within engineering projects. Participants will discuss strategies to facilitate knowledge sharing and retention to improve project outcomes.

This track addresses various process optimization techniques applicable to engineering workflows. Contributions will highlight case studies and methodologies that demonstrate enhanced efficiency and performance.

This session examines the role of workflow automation in improving engineering productivity. Presentations will cover tools and technologies that streamline processes and reduce manual intervention.

This track investigates the dynamics of collaborative engineering practices and their impact on knowledge sharing. Discussions will focus on frameworks that foster collaboration among multidisciplinary teams.

This session highlights the application of data analytics in supporting decision-making processes in engineering. Participants will present innovative approaches to leverage data for strategic insights.