Kyle Bradbury
Electrical and Computer Engineering
Assistant Research Professor in the Department of Electrical and Computer Engineering
Bio
Kyle Bradbury is the Managing Director of the Energy Data Analytics Lab at the Duke University Energy Initiative. He brings experience in machine learning and statistical modeling to energy problems. He completed his Ph.D. at Duke University, with research focused on modeling the reliability and cost trade-offs of energy storage systems for integrating wind and solar power into the grid. Kyle holds a M.S. in Electrical Engineering from Duke University where he specialized in statistical signal processing and machine learning, and a B.S. in Electrical Engineering from Tufts University. He has worked for ISO New England, MIT Lincoln Laboratories, and Dominion.
Education
- Ph.D. Duke University, 2013
Positions
- Assistant Research Professor in the Department of Electrical and Computer Engineering
Awards, Honors, and Distinctions
- Bass Connections Award for Outstanding Leadership. Duke University. 2022
Courses Taught
- IDS 794: Independent Study
- IDS 705: Principles of Machine Learning
- HOUSECS 59: House Course
- ENERGY 796T: Bass Connections Energy & Environment Research Team
- ENERGY 795T: Bass Connections Energy & Environment Research Team
- ENERGY 795: Connections in Energy: Interdisciplinary Team Projects
- ENERGY 396T: Bass Connections Energy & Environment Research Team
- ENERGY 395T: Bass Connections Energy & Environment Research Team
- EGR 393: Research Projects in Engineering
- ECE 494: Projects in Electrical and Computer Engineering
- ECE 392: Projects in Electrical and Computer Engineering
Publications
- Hakizimana M, Mavis E, Chiu Y, Malof J, Bradbury K. Enhanced Remote Sensing Model Performance Through Self-Supervised Learning with Multi-Spectral Data. In: International Geoscience and Remote Sensing Symposium (IGARSS). 2024. p. 2833–6.