Research Area
- Wide-area power system monitoring FNET/GridEye
- Frequency and phasor estimation algorithms
- PMU hardware and precision time synchronization
- embedded edge-computing solutions
- Real time data compression
Education
- Ph.D in Electrical engineering, University of Tennessee, Knoxville, 2024-Present
- M.S. in Electrical engineering, Tianjin University, 2021-2024
- B.S. in Electrical engineering and automation, Tianjin University, 2017-2021
Honors & Awards
• 🏆 R&D 100 Award, 2025
Skills
- Programming: C/C++, Python, Matlab, ChatGPT
- Software: PSSE, PSCAD, Altium/KiCad, Keil, Simulink, Microsoft Office
- Embedded system: Raspberry Pi, Stm32 (proficient); NodeMcu, OpenMV (familiar); DSP & FPGA (learning)
- Operating system: Windows, Linux, Mac
- Cloud server: Amazon EC2, Microsoft Azure, Google Cloud, Altanic
