Curriculum Vitae

Education, experience, service, and awards. Publications are on the Publications page and courses on the Teaching page.

Education

Aug 2023 – present

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

University of Michigan-Dearborn · Dearborn, MI, USA

Selected courses: Advanced Topics in Power Systems · Pattern Recognition & Neural Networks · Intelligent Systems

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.

Selected courses: Power System Reliability · Energy Storage Systems · Renewable Energy Resources

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.

Selected courses: Analysis of Power Systems · Smart Grids & Microgrids · Principles of Optimization

Experience

May 2025 – Aug 2025

Power System Engineering Intern — Transmission Technical Studies

Danovo Energy Solutions (Quanta Technology LLC) · Raleigh, NC, USA

  • Performed transmission system planning and interconnection studies using PSLF, TARA, and PSS/E.
  • Contributed to the design, optimization, and operational analysis of transmission systems.
Aug 2023 – present

Graduate Student Research Assistant (GSRA)

University of Michigan-Dearborn, Dept. of ECE · Dearborn, MI, USA

  • Conducting doctoral research at the intersection of power-system reliability and artificial intelligence along two complementary directions: AI for the grid, LLMs and reinforcement learning as operational decision-makers, and the grid for AI, integrating large-scale, uncertain AI data-center loads into distribution and transmission networks.
  • Grid Integration of AI Data-Center Loads: hosting-capacity and reliability frameworks for large, uncertain AI data-center demand, with grid-aware load coordination and energy-storage strategies.
  • LLMs as Power-System Decision-Makers: fine-tuned and multi-agent LLMs for surrogate scheduling, economic dispatch, decentralized Volt/VAR control, and reliability-oriented clustering of DER-rich active distribution networks.
  • Reliability Assessment under High IBR Penetration: stochastic, probabilistic frameworks for reliability and resource-adequacy metrics on grids dominated by inverter-based resources.
  • Strategic and economic modeling of storage and carbon policy: Stackelberg–Bayesian and deep-reinforcement-learning models for second-life battery investment and EV charging under AI-driven load growth and carbon regulation.
Jan 2024 – Apr 2026

Graduate Student Instructor (GSI) / Teaching Assistant

University of Michigan-Dearborn, Dept. of ECE · Dearborn, MI, USA

  • ECE 5462, Electrical Aspects of Hybrid Vehicles (Fall 2024).
  • ECE 311, Electronic Circuits I (Winter 2024).
  • ECE 305, Introduction to Electrical Engineering (Winter 2024, Fall 2024).
  • ECE 473, Embedded Systems (Winter 2024).
  • ECE 210, Circuits, recitation (Fall 2025, Winter 2026, Fall 2026).
Sep 2019 – Dec 2022

Research Assistant

Power Systems Research Center, Amirkabir University of Technology · Tehran, Iran

  • Developed short- and medium-term forecasting models for wind speed, solar irradiance, load, and battery state of charge to enable optimal control of a hybrid PV/wind/battery microgrid.
  • Improved system energy efficiency and dynamic control performance by integrating ML-based forecasting into the energy management strategy.
  • Generation Expansion Planning with Carbon-Reduction Policies: a game-theoretic optimization model for long-term generation expansion, with carbon curtailment penalties and incentive mechanisms.
  • Optimization-Based MPPT for Photovoltaic Systems: a bio-inspired MPPT algorithm for PV panels under partial shading.

Skills

Programming
Python (Advanced), MATLAB (Advanced)
ML frameworks
PyTorch, TensorFlow, Keras, MATLAB/Simulink
Optimization solvers
YALMIP, Pyomo, GAMS, Gurobi, CPLEX, MOSEK
Scientific libraries
MATPOWER, pandapower, NumPy, Pandas, Matplotlib, Plotly, Bnlearn
Power-system software
PSLF, PSS/E, TARA, ASPEN OneLiner, PowerWorld, DIgSILENT PowerFactory (familiar; simulation experience)
Engineering tools
PSpice, Altium Designer, PLC programming, AutoCAD
Operating systems
Windows, macOS, Linux
Productivity and writing
LaTeX, Microsoft Office
Soft skills
Technical writing, data analysis and visualization, teamwork, communication

Professional Service

Full list on the Professional Services page.

Peer reviewer, 150+ reviews

IEEE Transactions on Smart Grid (2023–present) · IEEE Access (2022–present) · IEEE Transactions on Vehicular Technology (2024–present) · IEEE Transactions on Transportation Electrification (2026–present) · IEEE Journal of Modern Power Systems and Clean Energy (2025–present) · IET Generation, Transmission & Distribution (2026–present)

Peer reviewer, Elsevier journals

Applied Energy (2026–present) · Energy and AI (2026–present) · Sustainable Energy, Grids and Networks (2026–present) · Journal of Energy Storage (2026–present) · SoftwareX (2026–present) · Sustainable Energy Technologies and Assessments (2025–present) · Computers & Industrial Engineering (2025–present)

Conference reviewer

IEEE PESGM 2025 · IEEE ECCE 2025 · International Conference on Smart Energy Systems and Technologies (SEST) 2026 · North American Power Symposium (NAPS) 2026

Apr 2026

Judge, IEEE Future Tech Explorers Challenge

Sep 2025

Judge, SURE Undergraduate Research Showcase, University of Michigan

Jan 2018

Executive Committee, 12th Student Seminar on Smart Grid, K. N. Toosi University

May 2017

Executive Committee, 25th Iranian Conference on Electrical Engineering (ICEEE 2017)

2015 – 2016

Volunteer Teacher, Iranian National University Entrance Examination Program

Leadership

2025 – 2026

President, IEEE-HKN Honor Society, UM-Dearborn

2024 – 2026

Treasurer, IEEE Student Branch, UM-Dearborn

2024 – 2025

Treasurer, IEEE-HKN Honor Society, UM-Dearborn

Memberships

2023 – present
Graduate Student Member, IEEE
2023 – present
Member, IEEE Power & Energy Society (PES)
2024 – present
Member, IEEE-HKN Honor Society
2025 – present
Member, IEEE TechEthics Community
2025 – present
Member, IEEE Industry Applications Society

Honors & Awards

2026

Best in Department Award (ECE), Doctoral Research Poster Competition

College of Engineering & Computer Science, University of Michigan-Dearborn

2024 – 2025

Doctoral Student Conference Travel Grant (two consecutive years)

College of Engineering & Computer Science, University of Michigan-Dearborn

2014

Top 1.5% in Iran’s National University Entrance Exam

Among more than 223,000 candidates

Workshops & Training

Aug 2025
“Understanding AI Load Profiles: What the Grid Needs to Know,” Quanta Technology, Raleigh, NC
Jul 2025
“AI Capabilities and Business Process,” Quanta Technology, Raleigh, NC
2025
Diversity, Equity & Inclusion Certificate, Rackham Graduate School, University of Michigan
Apr 2024
“Harnessing Hardware-in-the-Loop Simulation for Digital Power Innovation in e-Mobility and Grid Modernization,” Typhoon HIL / LS Electric, University of Michigan-Dearborn