Navid Amiri

University of British Columbia

Papers

2

Total Citations

14

H-Index

2

About

Navid Amiri is an emerging researcher specializing in the modeling and simulation of electrical machines, with a particular focus on electromagnetic transient analysis and high-fidelity machine modeling. His work addresses one of the most pressing challenges in modern power systems and electrification: developing accurate yet computationally efficient simulation models that can keep pace with the growing complexity of energy systems. Amiri's most cited contribution, "Electrical Machines in Electromagnetic Transient Simulations" (2023, 9 citations), provides a comprehensive framework for modeling machines used across renewable energy generation — including wind, hydropower, and tidal systems — as well as energy consumption applications. His follow-up work on Interior Permanent Magnet Synchronous Machines (IPMSMs) introduces a high-fidelity, memory-compact dynamic model specifically designed for motor-drive transient simulations, addressing the nonlinear flux linkage behavior critical to applications in electric vehicles, robotics, aerospace, and industrial automation. What distinguishes Amiri's research is his dual commitment to precision and practicality — ensuring that complex machine behavior is captured without sacrificing computational efficiency. Though early in his career, his work is already gaining traction in a field increasingly vital to the global energy transition and electrification of transportation.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Electrical Machines in Electromagnetic Transient Simulations: Focusing on efficient and accurate models
9 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of British Columbia

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago