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Department of Electrical and Computer Engineering
Dr. Hongwei Gao is an assistant professor in electrical and computer engineering at Montana State University. He received his BS and MS degree from Tsinghua University in Beijing, China, in 1990 and 1993, and his Ph.D from Texas A&M University in 2001, all in electrical engineering.
Dr. Gao’s teaching and research interests include power electronics, electric machines, motor drives, alternative source power systems and electric and hybrid electric vehicles. His group develops low-cost, high-efficiency DC/DC converters for residential fuel cell power systems, high efficiency DC/AC inverters for megawatt-level fuel cell power plants and control strategies for DC/AC inverters in megawatt-level fuel cell power plants.
Dr. Gao is a senior member of IEEE and a member of IEEE Power Electronics Society, IEEE Industry Applications Society and IEEE Industrial Electronics Society.
Please visit http://www.coe.montana.edu/ee/faculty.htm for more information about his teaching and research activities.
- Sc.D. Chemical Engineering (May 1964) Massachusetts Institute of Technology, Cambridge, MS
- B.Ch.E. Chemical Engineering (May 1960), Cornell University, Ithaca, NY
- Y. Wu and H. Gao, “Induction Motor Stator and Rotor Winding Temperature Estimation Using Signal Injection Method,” accepted for publication in IEEE Transactions on Industry Applications in December 2005
- Y. Wu and H. Gao, "Optimization of Fuel Cell and Supercapacitor for Fuel Cell Electric Vehicles," accepted for publication in IEEE Transactions on Vehicular Technology in February 2006.
- R. Sharma and H. Gao, “Low Cost High Efficiency DC-DC converter for Fuel Cell Powered Auxiliary Power Unit of a Heavy Vehicle,” accepted for publication in IEEE Transactions on Power Electronics in November 2005.
- C. Wang, M. H. Nehrir, and H. Gao, “Control of PEM Fuel Cell Distributed Generation Systems,” accepted for publication in IEEE Transactions on Energy Conversion in September 2005.
- H. Gao, F. R. Salmasi, and M. Ehsani, “Inductance Model Based Sensorless Control of the Switched Reluctance Motor Drive at Low Speed,” IEEE Transactions on Power Electronics, Vol. 19, Issue 6, pp. 1568-1573, November 2004.