Hima Dhulipati
Assistant Professor
Research Areas:
- Electric machines modelling and design
- Computationally efficient optimization techniques for advanced electric machines
- Electric machines fault prediction and diagnosis
- Lifecycle assessment of electric machines
- Energy management and wireless charging systems for electric vehicles
- Electric machine drives and control
Applications:
On-road and off-road electric vehicles, renewable energy, energy storage systems, aerospace
Open Research Positions:
Open to accepting undergraduate and graduate students to work on projects in electric machine design optimization, fault-tolerant control systems, and parameter estimation. If interested please contact Hima with your CV.