Contact Information

Name Sina Mohammadi
Professional Title Ph.D. Candidate in Electrical & Computer Engineering
Email sinamo[at]umich[dot]edu
Location Dearborn, Michigan
Website https://sinamo93.github.io/

Academic Service

Peer reviewer for:

IEEE Transactions on Smart Grid IEEE Transactions on Power Systems IEEE Power Engineering Letters IEEE Transactions on Industrial Informatics IEEE Transactions on Industrial Electronics IEEE Transactions on Control of Network Systems International Journal of Electrical Power & Energy Systems

Experience

  • 2023 - Present

    Dearborn, MI

    Graduate Student Research Assistant
    University of Michigan-Dearborn
    • Working on topology estimation of low-voltage distribution networks using smart meter data.
    • Proposed novel methods for topology recovery including hierarchical clustering of incremental voltage measurements.
    • Investigating label-free physics-informed neural networks (PINNs) for solving Optimal Power Flow (OPF).
  • 2021 - 2021

    Zanjan, Iran

    Graduate M.Sc. Researcher
    University of Zanjan
    • Proposed a novel pilot-based unit protection method for meshed microgrids using apparent resistance estimation.

Education

  • 2023 - Present
    Ph.D.
    University of Michigan-Dearborn
    Electrical and Computer Engineering
    • Dissertation: Machine Learning Applications for Optimizing Power Systems Operation
    • Supervisor: Prof. Wencong Su
  • 2016 - 2019
    M.Sc.
    University of Zanjan
    Electrical Engineering
    • Thesis: An Optimal Strategy for Protection of Inverter-Interfaced Microgrids in Different Working Modes
    • Supervisors: Mansour Ojaghi, Ph.D., Abolfazl Jalilvand, Ph.D.
  • 2012 - 2016
    B.Sc.
    University of Kurdistan
    Electrical Engineering
    • Thesis: Analysis, Modeling and Comparison of Different Types of Power Converters in Switched Reluctance Motor

Skills

Programming & Tools (Advanced): Python, NumPy, PyTorch, Pandas, MATLAB/Simulink, PowerWorld, PSCAD, LaTeX
Power Systems (Expert): Optimal Power Flow, Distribution Grid Modeling, Y-bus Estimation, Microgrid Protection, State Estimation
Machine Learning (Advanced): Neural Networks, Physics-Informed Neural Networks (PINNs), Surrogate Models, Clustering

Languages

Kurdish : Native
Farsi : Bilingual
English : Fluent