This track focuses on the latest advancements in aerospace engineering, emphasizing the integration of blockchain technologies. Participants will explore how these innovations can enhance safety, efficiency, and performance in aviation systems.

This session will delve into the role of blockchain in predictive maintenance strategies for aerospace systems. Discussions will center on how blockchain can improve data integrity and facilitate real-time monitoring of aircraft components.

This track will examine the application of data analytics techniques, including supervised and unsupervised learning, in aerospace engineering. Attendees will learn how these methodologies can optimize system performance and enhance decision-making processes.

Focusing on anomaly detection techniques, this session will discuss their critical role in ensuring safety and reliability in aviation systems. Participants will explore various algorithms and their applications in identifying potential failures.

This track will cover advanced methods for feature extraction from sensor data in aerospace applications. The emphasis will be on enhancing model performance and improving predictive capabilities through effective data representation.

This session will explore the integration of Internet of Things (IoT) technologies within aerospace systems. Discussions will highlight how IoT can facilitate real-time data collection and enhance operational efficiency.