Sustainability in Engineering using Blockchain (ICSESB-26)

This track explores the integration of blockchain technology in engineering practices aimed at sustainability. It will cover case studies and methodologies that demonstrate how blockchain can enhance resource management and reduce environmental impact.

This session focuses on the application of predictive modeling techniques in engineering to promote sustainability. Researchers will present innovative approaches that leverage data analytics to forecast and mitigate environmental risks.

This track delves into the use of supervised and unsupervised learning methods for optimizing resource utilization in engineering projects. Participants will discuss algorithms and frameworks that enhance efficiency and sustainability.

This session highlights the role of deep learning in analyzing environmental data for sustainable engineering practices. Presentations will cover advancements in feature extraction and anomaly detection relevant to ecological monitoring.

This track examines how blockchain technology can drive innovations in energy efficiency within engineering. Discussions will include smart contracts and decentralized systems that optimize energy consumption and promote sustainable practices.

This session focuses on the automation of engineering workflows using blockchain and AI technologies. Participants will explore how automation can streamline processes while enhancing sustainability outcomes.

This track investigates the implementation of blockchain in system monitoring and predictive maintenance for engineering applications. Researchers will present methodologies that improve reliability and reduce downtime in sustainable engineering systems.

This session addresses the evaluation of predictive models used in sustainable engineering. Discussions will focus on metrics, validation techniques, and the impact of model performance on sustainability outcomes.

This track explores the convergence of industrial IoT and blockchain technologies in promoting sustainable engineering practices. Presentations will highlight applications that enhance data integrity and resource management in industrial settings.

This session focuses on the assessment and management of risks associated with blockchain implementations in engineering. Participants will discuss frameworks and strategies for ensuring sustainability while mitigating potential risks.

This track examines the role of digital twin technologies in enhancing sustainability in engineering. Presentations will cover the integration of blockchain with digital twins to optimize processes and improve environmental outcomes.