Leila Parsa – born in Tehran-Iran – April 1976. In 1993 Leila Parsa started her education at Iran University of Science & Technology- دانشگاه علم و صنعت ايران. In 1996 at age 20 – Leila Parsa received her B.Sc in Electrical Engineering and Physic with highest honor. She then after continued her research and in 1999 received M.Sc in Electrical Engineering and Physic – 23 years old.
At the end of 1999 she left Iran and moved to Germany and spent one year in Aachen University of Technology, Aachen, Germany.
At the end of 2001 Leila Parsa moved to USA – Texas and started her PhD in Electrical Engineering at Texas A&M University, College Station, TX. Leila Parsa received Ph.D degree from Texas A&M University in May 2005 – 29 years old. 2007 at age 31 she moved to New York.
- Renewable Energy Systems.
- Design, Modeling, Analysis and Digital Control of Power Electronics Converters.
- Design and Analysis of Special Purposed Electromechanical Energy converters.
- Adjustable Speed Drives.
- Electric and Hybrid Electric Vehicles.
- Fault Tolerant Electromechanical Energy Converters and Power Electronics Systems.
Full List of Professor Leila Parsa’s publications.
- ONR Young Investigator Award, 2009
- Proposal Title: Fault Tolerant Electromechanical Energy Converters for Naval Application
- IEEE-Industry Applications Society Outstanding Young Member Award, 2007
- IEEE-Industry Applications Society Transactions Paper Award, 2006
Currently she is an assistant professor in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute.
At the end of 2007 at age 31 Leila Parsa received the IEEE-IAS INDUSTRY (Institute of Electrical and Electronics Engineers APPLICATIONS SOCIETY)’s Outstanding Young Member Award.
Professor Leila Parsa is expert and scientific researcher in following areas:
- Design and Control of Variable Speed Drives
- Digital Control of Power Electronics Systems
- Design and Analysis of Novel Electric Machines
- Electric and Hybrid Electric Vehicles
- Renewable Energy Systems
- Fault Diagnosis and Condition Monitoring of Electric Machines and Power Electronics System
- Silicon Carbide Devices and Micromotors