Rouzbeh Haghighi
Portrait of Rouzbeh Haghighi

University of Michigan-Dearborn

Rouzbeh Haghighi

Ph.D. Candidate, Electrical, Electronics & Computer Engineering

Electrical Engineer — Power Systems & AI

Power Systems Lab, University of Michigan, MI, USA

Rouzbeh Haghighi is a Ph.D. candidate in Electrical, Electronics & Computer Engineering at the University of Michigan-Dearborn. His research sits at the intersection of power-system reliability and artificial intelligence: large language models and reinforcement learning as operational decision-makers for the grid, and hosting-capacity and reliability frameworks for integrating large, uncertain AI data-center loads into distribution and transmission networks. In 2025 he carried out transmission planning and interconnection studies in PSLF, TARA, and PSS/E as a Power System Engineering Intern with Quanta Technology.
View CV Publications

Research Interests

Recent news

  1. Review of storage for AI data centers in Advances in Applied Energy

    “Grid integration of AI data centers: A critical review of energy storage solutions” appears in Advances in Applied Energy, vol. 23.

  2. Capacity-market paper accepted at NAPS 2026

    Our Stackelberg–Bayesian game of carbon regulation and second-life battery investment under AI data-center load growth was accepted at the 2026 North American Power Symposium.

  3. LLM surrogate schedulers published in Energy and Buildings

    “Fine-tuned large language models as surrogate schedulers for smart building energy management” appears in Energy and Buildings, vol. 364.

  4. Judge at the IEEE Future Tech Explorers Challenge

    Served as a judge for the IEEE Future Tech Explorers Challenge.

  5. Summer internship at Quanta Technology

    Joined Danovo Energy Solutions (Quanta Technology) in Raleigh, NC, as a Power System Engineering Intern in transmission technical studies.

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Education

  1. Aug 2023 – present
    Ph.D. Candidate, Electrical, Electronics & Computer Engineering

    University of Michigan-Dearborn · Dearborn, MI, USA

  2. Sep 2019 – Dec 2022
    M.Sc., Electrical Engineering — Power Systems & Energy Planning

    Amirkabir University of Technology (Tehran Polytechnic) · Tehran, Iran

    Thesis: Short- and Medium-Term Prediction of Effective Parameters (Wind, Solar Irradiance, Load, Battery) for Optimal Control of a Hybrid PV/Wind/Battery Energy System.

  3. Sep 2014 – Sep 2018
    B.Sc., Electrical Engineering — Power Systems

    K. N. Toosi University of Technology · Tehran, Iran

    Thesis: Reconfiguration of Distribution Networks for Loss Reduction.