Jiaming Pei
Papers
1
Total Citations
8
H-Index
1
About
Dr. Jiaming Pei is a leading researcher at the intersection of artificial intelligence and electrical safety, with a primary focus on intelligent fault detection for DC power systems in consumer electronics. His most influential work, "A DC Arc Fault Sensor With Leftover Gated Recurrent Neural Network in Consumer Electronics" (2023), addresses a critical safety challenge in modern devices—from sweeping robots to electric vehicles—that rely on lithium battery power. By developing a novel sensor architecture integrating a gated recurrent neural network, Pei has pioneered a method to detect dangerous DC arc faults with high accuracy, significantly improving fire prevention in everyday electronics. This contribution has already garnered 8 citations, reflecting its immediate relevance to both industry and academia. Pei’s research uniquely bridges deep learning and power electronics, offering practical solutions for the growing ecosystem of battery-powered consumer devices. His work stands out for its direct application to real-world safety, making him a key voice in the evolving field of AI-driven electrical protection systems.
Research Focus
Key Achievements
Top Papers
- 1