معرفی
Yubo Song is a Postdoctoral Researcher at Aalborg University's Faculty of Engineering and Science, specializing in power electronics, microgrid systems, and reliability engineering. His work focuses on stability validation, control strategies, and the application of neuromorphic computing to power grids.
His educational background includes:
- Ph.D. in Energy Technology from Aalborg University (awarded 2023)
- M.Sc. in Electrical Engineering from Shanghai Jiao Tong University (awarded 2019)
- B.Eng. in Electrical Engineering and Automation from Shanghai Jiao Tong University (awarded 2016)
Dr. Song's research integrates microgrid engineering, power electronics reliability, and neuromorphic computing to address critical challenges in grid stability. His work pioneers Spike Talk technology for energy-efficient grid communication and develops hybrid modeling approaches for real-time power system simulation. Recent publications demonstrate expertise in damping control of grid-forming inverters, sensitivity analysis for reliability evaluation, and Bayesian risk assessment frameworks.
His publication trends reveal a strategic shift toward neuromorphic solutions for power grids, with 2024-2025 works focusing on spike-based communication protocols and event-driven semantic systems. Earlier research centered on stability validation and reliability modeling for microgrids, establishing foundational frameworks still cited in current literature.
Dr. Song has secured significant research funding including:
- Power Sentinel (Villum Foundation, 2024-2025): Developing cyber-physical safeguards for future power grids
- Reliability and Lifetime Analysis (2022-2025): Creating predictive models for power electronic components
- Stability and Reliability Validation (PhD project, 2020-2023): Establishing comprehensive microgrid assessment methodologies
As Principal Investigator on multiple projects, he mentors early-career researchers while collaborating with industry partners on grid security solutions. His work with the Applied Power Electronic Systems group at AAU Energy focuses on translating theoretical advances into practical grid applications, particularly in converter reliability and neuromorphic grid communication.
