Yifei Xu (Hsu)

I'm a second-year Ph.D. candidate in the Department of Electrical and Computer Engineering, Tandon School of Engineering, New York University in Brooklyn, New York, under the supervision of Prof. Yuzhang Lin. My office is Suite 200, 5 MTC, Brooklyn.

I hold dual Master’s degrees from UC Berkeley (IEOR) and Tsinghua University (Electrical Engineering), where I focused on large-scale optimization and machine learning for industrial and renewable energy systems, advised by Prof. Ye Guo. During my time at Berkeley, I contributed to a capstone project funded by TotalEnergies and the eCal Lab, led by Prof. Scott Moura. Proficient in Python, MATLAB, and PyTorch, I have also contributed to several pioneering projects at major utility companies in China.

Email / CV / LinkedIn / Github

Research

I'm interested in estimation, modeling, optimization, generative AI, and machine learning in urban energy systems. Most of my research is to develop robust and smart resolutions to support the economic operations of the power grid. Some papers are highlighted.

News

Apr 2026
Our paper, GPU-Native Multi-Area State Estimation via SIMD Abstraction and Boundary Condensation, was accepted to ACM e-Energy 2026 and will be presented in Banff in June 2026.