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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