My work sits at the intersection of artificial intelligence and electric power systems — developing data-driven and large-language-model methods for grid resilience, stability, and operations, grounded in hands-on power-system engineering. In summer 2026 I was a Research Intern at Microsoft (Redmond, WA), working on AI/ML for electricity-infrastructure planning. Since Fall 2026, I am a Research Intern at EPRI (Knoxville, TN), working on AI/ML for power-system analysis, power flow, and state estimation.
I am open to 2026–2027 opportunities in AI-for-power-systems research and power-system engineering across ISO, utility, consulting, hyperscalers, national labs, and academic faculty. If my background fits your team or project, please feel free to reach out — you can also browse my publications, projects, and CV.
[Intern] I started my 2026 Fall Internship at Electric Power Research Institute (EPRI) in Knoxville, TN, working on AI/ML for Power System Analysis, Power Flow, and State Estimation.
Jun 08, 2026
[Intern] I started my Research Internship at Microsoft in Redmond, WA, working on AI/ML for electricity-infrastructure planning.
Jun 05, 2026
[Certification] I passed the NCEES Fundamentals of Engineering (FE), Electrical and Computer exam.
May 30, 2026
[Honor] I was inducted into IEEE-HKN (Beta Phi Chapter).
May 26, 2026
[Honor] I was elected an Associate Member of Sigma Xi.
@article{2026TIA,title={PVSizer: An Open-Source Python Framework for PV and BESS Sizing and Impact Analysis in Distribution Networks},author={Yang, Y. and Okhuegbe, S. N. and Zhang, J. and Bhandari, A. and Zhang, Z. and Wang, H. and Afzaal, M. U. and Wu, Y. and Yin, Junjie and Li, Fangxing and Liu, Yilu},journal={IEEE Transactions on Industry Applications},year={2026},publisher={IEEE},doi={10.1109/TIA.2026.3689460},}
Y. Yang, S. N. Okhuegbe, J. Zhang, A. Bhandari, Z. Zhang, H. Wang, M. U. Afzaal, Y. Wu, J. Yin, F. Li and Y. Liu, "PVSizer: An Open-Source Python Framework for PV and BESS Sizing and Impact Analysis in Distribution Networks," IEEE Transactions on Industry Applications, 2026, doi: 10.1109/TIA.2026.3689460.
IEEE Elec. Mag.
Pathway Toward an Open Source Ecosystem in Power Systems: A Blueprint for Collaborative Innovation and Software Sustainability
Ahmad Ali, Junjie Yin, Fangxing Li, and 1 more author
@article{2025EM,title={Pathway Toward an Open Source Ecosystem in Power Systems: A Blueprint for Collaborative Innovation and Software Sustainability},author={Ali, Ahmad and Yin, Junjie and Li, Fangxing and Cui, Hantao},journal={IEEE Electrification Magazine},volume={13},number={2},pages={58--67},month=jun,year={2025},doi={10.1109/MELE.2025.3558711},publisher={IEEE},}
A. Ali, J. Yin, F. Li and H. Cui, "Pathway Toward an Open Source Ecosystem in Power Systems: A Blueprint for Collaborative Innovation and Software Sustainability," IEEE Electrification Magazine, vol. 13, no. 2, pp. 58–67, June 2025, doi: 10.1109/MELE.2025.3558711.
IEEE TPD
A Data-Driven Adaptive Control Approach for Enhancing the Dynamic Response of VSGs in Varying Grid Conditions
S. Fahad, Buxin She, Junjie Yin, and 3 more authors
@article{2025TPD,title={A Data-Driven Adaptive Control Approach for Enhancing the Dynamic Response of VSGs in Varying Grid Conditions},author={Fahad, S. and She, Buxin and Yin, Junjie and Li, Fangxing and Cui, Hantao and Bo, Rui},journal={IEEE Transactions on Power Delivery},year={2025},publisher={IEEE},doi={10.1109/TPWRD.2025.3557059},}
S. Fahad, B. She, J. Yin, F. Li, H. Cui and R. Bo, "A Data-Driven Adaptive Control Approach for Enhancing the Dynamic Response of VSGs in Varying Grid Conditions," IEEE Transactions on Power Delivery, 2025, doi: 10.1109/TPWRD.2025.3557059.
Front. Energy Res.
Integrated Energy System Optimal Operation in Coal District With Hydrogen Heavy Trucks
Junjie Yin, Jianhua Wang, J. You, and 2 more authors
@article{2021FER,title={Integrated Energy System Optimal Operation in Coal District With Hydrogen Heavy Trucks},author={Yin, Junjie and Wang, Jianhua and You, J. and Chen, H. and Shi, W.},journal={Frontiers in Energy Research},volume={9},pages={607--621},year={2021},publisher={Frontiers},doi={10.3389/fenrg.2021.748673},}
J. Yin, J. Wang, J. You, H. Chen and W. Shi, "Integrated Energy System Optimal Operation in Coal District With Hydrogen Heavy Trucks," Frontiers in Energy Research, vol. 9, pp. 607–621, 2021, doi: 10.3389/fenrg.2021.748673.
Skills & Tools
AI & Programming
Python (PyTorch, TensorFlow) | ML | RL | CNN | GNN | LLM & AI Agents | MATLAB | C
