Buxin She

• About Me
• Research
• Professional Experience
• Education
• Selected Publications
• Awards and Service
• Global Collaborations and Website Visitors

About me

Buxin She is an Assistant Professor of Electrical and Computer Engineering at Kansas State University. He leads the Intelligent Power (IP) Lab, which develops methods for secure, resilient, and economical power systems with inverter-based resources (IBRs) and artificial intelligence (AI).

Before joining K-State, he was a Senior Research Engineer in the Optimization and Control Group at Pacific Northwest National Laboratory. At PNNL, he led two Laboratory Directed Research and Development (LDRD) projects, on resilience analysis of cyber-physical power systems and on stability characterization of power-electronics-dominant power systems. He also co-led a project sponsored by the DOE Wind Energy Technologies Office (WETO).

He serves as Chair of the IEEE Task Force on Virtual Inertia Scheduling and Control for IBR-Dominant Power Systems and as Sub-Team Lead of the Modeling Requirements and Data Collection Subteam within the ESIG Large Loads Task Force. He serves as an instructor with the IEEE Education Committee.

He is an Associate Editor of IEEE Data Descriptions, Unconventional Resources, and Chinese Journal of Electrical Engineering. He has also served as Guest Editor for International Journal of Electrical Power & Energy Systems and IET Renewable Power Generation, and as a member of the Young Advisory Board of IET Energy Conversion and Economics.

Research

• Modeling, control, and stability analysis of inverter-based resources (IBRs)
• Dynamics-informed planning and operation of power systems
• AI-driven simulation, control, and optimization for modern power grids

Professional Experience

• Kansas State University (January 2026 - Present)

  Assistant Professor

• Pacific Northwest National Laboratory (September 2023 - January 2026)

  Senior Research Engineer (July 2025 - January 2026)

  Research Engineer (September 2023 - July 2025)

• Argonne National Laboratory (July 2022 - December 2022)

  Research Aide Technical

• University of Tennessee, Knoxville (January 2020 - September 2023)

  Graduate Research Assistant

Education

• University of Tennessee, Knoxville (January 2020 - December 2023)

  PhD in Electrical and Computer Engineering

• Tianjin University (September 2017 - December 2019)

  MS in Electrical and Information Engineering

• Tianjin University (September 2013 - June 2017)

  BS in Electrical and Information Engineering

Selected Publications

For a complete list, see the publications page.

• Buxin She, Fangxing Li*, Hantao Cui, Hang Shuai, Oroghene Oboreh Snapps, Rui Bo, Nattapat Praisuwanna, Jingxin Wang, Leon M. Tolbert, “Inverter PQ Control with Trajectory Tracking Capability for Microgrids Based on Physics-informed Reinforcement Learning”, IEEE Transactions on Smart Grid, 2023, doi: 10.1109/TSG.2023.3277330. – ESI Highly Cited Paper + Popular Paper on TSG.
• Buxin She, Fangxing Li*, Hantao Cui, Jingqiu Zhang, Rui Bo, “Fusion of Microgrid Control with Model-free Reinforcement Learning: Review and Vision”, IEEE Transactions on Smart Grid, 2022, doi: 10.1109/TSG.2022.3222323. – Popular Paper on TSG.
• Buxin She, Fangxing Li*, Hantao Cui, Jinning Wang, Qiwei Zhang, Rui Bo, “Virtual Inertia Scheduling (VIS) for Real-Time Economic Dispatch of IBR-Penetrated Power Systems”, IEEE Transactions on Sustainable Energy, 2023, doi: 10.1109/TSTE.2023.3319307. – Popular Paper on TSTE.
• Buxin She, Fangxing Li*, Jinning Wang, Hantao Cui, Xiaofei Wang, Rui Bo, “Virtual Inertia Scheduling (VIS) for Microgrids with Static and Dynamic Security Constraints”, IEEE Transactions on Sustainable Energy, 2024, doi: 10.1109/TSTE.2024.3481239. – Popular Paper on TSTE.
• Buxin She, Jianzhe Liu*, Feng Qiu, Hantao Cui, Nattapat Praisuwanna, Jingxin Wang, Leon M. Tolbert, and Fangxing Li*, “Systematic Controller Design for Inverter-Based Microgrids With Certified Large-Signal Stability and Domain of Attraction”, IEEE Transactions on Smart Grid, 2023, doi: 10.1109/TSG.2023.3330705.

Awards and Service

• IEEE PES Prize Paper Award for “Virtual Inertia Scheduling (VIS) for Real-Time Economic Dispatch of IBR-Penetrated Power Systems”, 2026.
• K-State ADVANCE Distinguished Lecture Series Award, 2026.
• PNNL Outstanding Performance Award for leadership of the DOE OE Energy Storage program, 2025.
• Excellent Reviewer of IEEE Transactions on Sustainable Energy, 2025.
• Outstanding Reviewer of Energy Economics, 2025.
• PNNL Exceptional Contribution Award, 2024.
• UT Volunteer of Distinction honor, 2024.
• Excellent Reviewer of Journal of Modern Power Systems and Clean Energy, 2022, 2023, and 2025.
• UT Graduate Fellowship, 2022-2024.
• Outstanding Reviewer of IEEE Open Access Journal of Power and Energy, 2020.

Global Collaborations and Website Visitors