This track focuses on the latest advancements in big data methodologies that enhance sustainable engineering practices. Researchers are invited to present novel approaches that leverage big data analytics to improve resource efficiency and reduce environmental impact.

This session will explore computational models that address environmental challenges through the lens of big data. Contributions should highlight how these models can facilitate sustainable decision-making in various sectors.

This track examines the role of big data in optimizing renewable energy systems and their integration into existing infrastructures. Papers should discuss innovative data-driven strategies that enhance the efficiency and sustainability of energy production.

This session focuses on the application of big data in the development of smart cities aimed at promoting sustainability. Researchers are encouraged to share insights on how data analytics can improve urban planning and resource management.

This track highlights the use of big data analytics in agriculture to promote sustainable farming practices. Contributions should explore how data can be utilized to enhance crop yield, reduce waste, and improve soil health.

This session will delve into the design and implementation of sustainable computing architectures that minimize energy consumption. Papers should present innovative technologies that support green computing initiatives.