Xile Wei
Papers
7
Total Citations
227
H-Index
6
About
Dr. Xile Wei is a leading researcher at the intersection of computational neuroscience and advanced motor control systems. Her work is defined by two major thrusts: pioneering the digital hardware implementation of biologically realistic neural models and advancing predictive control strategies for multiphase electric drives. In the realm of neuromorphic engineering, Dr. Wei has made seminal contributions by successfully implementing complex conductance-based neuron models—such as thalamocortical and globus pallidus neurons—on Field-Programmable Gate Arrays (FPGAs). Her 2015 study on thalamocortical control for Parkinson’s disease (46 citations) and her 2017 work on a central pattern generator network (31 citations) are foundational, demonstrating how real-time, biologically inspired hardware can be used to investigate neurological disorders and robotic control. In power electronics, her highly cited 2021 paper (78 citations) on space-vector-optimized predictive control for dual three-phase PMSMs provides a breakthrough solution for suppressing current harmonics in low-inductance motors, achieving rapid current response. With a cumulative impact exceeding 200 citations, Dr. Wei’s work uniquely bridges the gap between neural dynamics and engineering applications, offering powerful tools for both medical research and advanced industrial drive systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6Multi-scale convolutional neural network for texture recognition10 citations · 2022
- 7