Sina Mohammadi

Hi! I am Sina Mohammadi, a Ph.D. Candidate in Electrical and Computer Engineering at the University of Michigan–Dearborn, advised by Prof. Wencong Su. My doctoral dissertation focuses on Machine Learning Applications for Optimizing Power Systems Operation.

Prior to joining UM-Dearborn in 2023, I earned my M.Sc. in Electrical Engineering from the University of Zanjan (2019) and my B.Sc. in Electrical Engineering from the University of Kurdistan (2016).

Research Experience & Focus:

• Power System Optimization & AI: Physics-informed neural networks (PINNs) and surrogate modeling for Optimal Power Flow (OPF), Large Language Models (LLMs) for economic dispatch, and hybrid energy storage coordination for AI data centers.
• Distribution Grid State & Topology Estimation: Distance-Aware Mutual Information (DAMI) and hierarchical clustering of smart meter voltage measurements for low-voltage distribution network topology recovery.
• Power System Protection & Phasor Estimation: Sub-cycle neural network and deep symbolic regression for fault current phasor estimation under decaying DC offsets, and pilot-based protection for meshed microgrids.