This track focuses on the latest innovations in asset management engineering, emphasizing the integration of blockchain technology. Participants will explore case studies and methodologies that enhance asset tracking and management efficiency.

This session will delve into the applications of blockchain in predictive maintenance strategies. Researchers will present their findings on how blockchain can improve data integrity and reliability in predictive modeling.

This track will cover various machine learning techniques, including supervised and unsupervised learning, for optimizing asset management. Discussions will include feature extraction methods and their implications for engineering practices.

Focusing on anomaly detection, this session will highlight advanced algorithms and their applications in engineering systems. The role of blockchain in ensuring data security and integrity during anomaly detection will also be examined.

This track will explore how blockchain technology can facilitate workflow automation in engineering processes. Presentations will demonstrate the impact of automation on efficiency and resource management.

This session will investigate the role of digital twin technologies in enhancing asset management practices. Participants will discuss how blockchain can support real-time data sharing and system monitoring.