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Prof. TAN Bendong

Prof. TAN Bendong

Assistant Professor

PhD

Biography

Dr. Bendong Tan is an Assistant Professor in the Department of Electrical and Electronic Engineering at The Hong Kong Polytechnic University. From 2024 to 2025, he was a Postdoctoral Research Associate at the University of Connecticut, working with Dr. Junbo Zhao, and a Visiting Scientist at the Massachusetts Institute of Technology with Dr. Deepjyoti Deka. He received his Ph.D. degree in Electrical Engineering from the University of Connecticut (UConn) in 2024, advised by Dr. Junbo Zhao. Prior to his Ph.D. studies at UConn, He obtained his M.S. degree in 2020 and B.E. degree in 2017, both in Electrical Engineering from Wuhan University.

Dr. Tan has received the 2023 Chinese Government Award for Outstanding Self-financed Students Abroad, the GE Fellowship for Excellence at the University of Connecticut, and the Ezra Postdoctoral Associate Fellowship at Cornell University. He is also a recipient of multiple awards, including Best Paper Awards at the IEEE PES General Meetings in 2021, 2022, and 2024, the Best Journal Paper Award from the International Journal of Electrical Power & Energy Systems in 2022, and the Outstanding Reviewer Award from IEEE Transactions on Power Systems (2021–2023).

Dr. Tan’s research focuses on the modeling, stability assessment, and control of next-generation power systems. He is particularly interested in the areas, including but not limited to:

·        Dynamic power system modeling, including dynamic load and inverter-based resources

·        Inverter-penetrated power system inertia estimation and tracking

·        Static and dynamic power system risk assessment with high penetration of inverter-based resources

·        Stochastic power system decision-making and control

·        Applications of artificial intelligence and machine learning in power system analysis and control

Interesting ideas from other research areas are also welcome for discussion.

Education and Academic Qualifications

  • Ph.D. in Electrical Engineering, University of Connecticut, 2024
  • M.S. in Electrical Engineering, Wuhan University, 2020
  • B.E. in Electrical Engineering, Wuhan University, 2017

Professional Qualifications

  • Early-career Associate Editor, IET Smart Grid (2025 - Present)
  • Early-career Associate Editor, Energy Conversion and Economics (2025 - Present)

Research Interests

  • Power system dynamics, stability control, estimation, machine learning, inverter-based resource and renewable energy integration, risk assessment and mitigation, uncertainty quantification and management.

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