Team

Ahmad Al-Momani (Ph.D. Student) 

Education

• Ph.D. in Electrical Engineering, Oakland University, Rochester, MI, USA (2023–present)

• M.Sc. in Electrical Engineering, Princess Sumaya University for Technology (PSUT), Amman, Jordan (2022) 

• B.Sc. in Electrical Power Engineering, Al-Balqa' Applied University, Al-Salt, Jordan (2019)

Research Interests

• Modeling, optimization, and parameter identification of electric machines

• Applications in control and testing for transportation electrification

• Application of AI and meta-heuristic algorithms in energy systems

Sunday Joseph (Ph.D. Student) 

Education

• Ph.D. in Electrical Engineering, Oakland University, Rochester, MI, USA (2026–present)

• M.Sc. in Electrical Engineering, University of Alaska, Fairbanks, AK, USA (2025) 

• B.Sc. in Electrical Engineering, The Federal Polytechnic Offa, Nigeria (2019)

Research Interests

• Design and analysis of electric machines for electric vehicles (EVs) and renewable energy systems

• AI-based control and optimization of electric drive systems

• Modeling and testing of wide-bandgap (WBG) device-based rare-earth-free motor drives

Sunny Nazir (Ph.D. Student) 

Education

• Ph.D. in Electrical Engineering, Oakland University, Rochester, MI, USA (2026–present)

• B.Sc. in Electrical Power Engineering, COMSATS University, Islamabad, Pakistan (2024)

Research Interests

• AI-driven control techniques for motor drive systems

• Design, analysis, and testing of rare-earth-free electric machines

• Application of wide-bandgap (WBG) power electronic devices for electric vehicle (EV) drives 

Yazan Al-Geizawi (M.Sc. Student) 

Education

• M.Sc. in Electrical and Computer Engineering, Oakland University, Rochester, MI, USA (2025–present)

• B.Sc. in Electric Power and Energy Engineering (with honors), Princess Sumaya University for Technology (PSUT), Amman, Jordan (2025) 

Research Interests

• Wide-bandgap (WBG) power electronic devices

• Electric drive control and optimization

• Electric machine modeling for electric vehicle (EV) applications

Khanh Phan (B.Sc. Student) 

Education

• B.Sc. in Electrical Engineering, Oakland University, Rochester, MI, USA (2021-2025)

Research Interests

• Practical applications of electromagnetic theory

• Electric machine design

• Simulation and testing for motor drive systems in electric vehicle (EV) technologies