Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities
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Dive into the research topics where Yan Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Collaborative Research: Variational Quantum Technology for Seamless Transition Between Grid-Following and Grid-Forming Controls for Inverter-Based Resources
Li, Y. (PI)
1/1/25 → 12/31/27
Project: Research project
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CyberTraining: Pilot: Immersive and Collaborative Quantum Computing Training for Power System Engineers
Li, Y. (PI)
9/1/24 → 8/31/27
Project: Research project
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CyberTraining: Pilot: Immersive and Collaborative Quantum Computing Training for Power System Engineers
Li, Y. (PI)
9/1/24 → 8/31/27
Project: Research project
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ONR YIP: Quantum Analysis on Transient Dynamics of Distributed Renewable Energy Systems
Li, Y. (PI)
6/1/22 → …
Project: Research project
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Learning vector fields of differential equations on manifolds with curvature-adaptive geometrically constrained SINDy
He, H. & Li, Y., Apr 2026, In: Communications in Nonlinear Science and Numerical Simulation. 155, 109406.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
Physics-Embedded Data-Driven Modeling for Model Predictive Control of Battery Charging Converter
He, H., Li, Y., Zhu, M., Du, L. & Huang, D., 2026, (Accepted/In press) In: IEEE Transactions on Industry Applications.Research output: Contribution to journal › Article › peer-review
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QAOA-Driven PMU placement optimization with graph learning-based parameter initialization refinement
Jiang, Y., Wang, X., Liang, Z., Li, Y., Morstyn, T., Lopes, P. L. S. & Brandsema, M. J., Jun 2026, In: Quantum Machine Intelligence. 8, 1, 32.Research output: Contribution to journal › Article › peer-review
Open Access -
Accelerating Quantum Optimization with Graph Learning for Optimal PMU Placement
Jiang, Y., Wang, X., Liang, Z., Li, Y., Morstyn, T. & Du, L., 2025, 2025 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium, ITEC+EATS 2025. Institute of Electrical and Electronics Engineers Inc., (2025 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium, ITEC+EATS 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Adaptive Deep Neural Network Architecture for Data-Driven Model Based Identification of Non-Linear Dynamics of Microgrids
Nandakumar, A., Jiang, Y., Li, Y. & Du, L., 2025, 2025 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium, ITEC+EATS 2025. Institute of Electrical and Electronics Engineers Inc., (2025 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium, ITEC+EATS 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution