The UTC Graduate School is pleased to announce that Edward Steele will present Doctoral (PhD) research titled, Neural Networks for the Smart Grid and Quantum Information Science and Engineering on 10/02/2026 at 3:30pm in MDRB Auditorium. Everyone is invited to attend.
Computational Science
Chair: Donald Reising
Co-Chair: Tian Li
Abstract:
The application of neural networks to the smart grid and quantum information science and engineering has proven to be effective in the advancement of critical infrastructure. Neural networks assist in the efficiency and security of timely communication with the capabilities of classification, reconstruction, and prediction. Classification applied to the smart grid has proven to be 98% accurate. Reconstruction applied to quantum sensing has proven to be 70-80% effective. Prediction applied to quantum networking has proven to be 99% efficient in short time frames. Neural networks integrated into critical infrastructure adds intelligence paving the way for smart cities.