AT&T Digital twin

This project is focused on revolutionizing building energy management and occupant comfort using a digital twin framework. We employ machine learning and AWS cloud computing, including server-based data processing, to create a real-time virtual model of a design studio. This approach enables efficient monitoring and analysis of energy use and environmental conditions.

Central to our efforts is a user-friendly dashboard that offers intuitive interaction and immediate insight into energy dynamics. It facilitates informed decision-making by displaying real-time data and simulating various scenarios for optimal building management. Our integration of digital twin technology, advanced server capabilities, and machine learning within a user-centric UX framework sets a new prototype for smart, sustainable campus development.

Team: Dr. Jong Bum Kim, Dr. Bimal Balakrishnan, Dr. Sanjeev Khanna, Dr. Fang Wang 

Research Assistants: Jayedi Aman, Vivek Vardhan Reddy Thipparthi, Meftah Uddin

Acknowledgement: The Research was funded by the ATT FNDTN and was accomplished under the project “Impact of 5G on the Reduction of Greenhouse Gas Emissions”