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Dr. Rosalyn S. Hobson is the Associate Dean for Graduate Studies and Associate Professor of Electrical Engineering at Virginia Commonwealth University in Richmond, Virginia where she joined the faculty in 1996. She also serves as the Director of the VCU - University of KwaZulu Natal International Partnership. She received her B.S., M.S., and Ph.D. degrees in Electrical Engineering from the University of Virginia. Her research interests include artificial neural networks and their application to systems modeling, signal processing, manufacturing, and controls engineering. She also works extensively in K-12 science, technology, engineering and math non-formal and formal education. She served as a Science and Technology Diplomacy Fellow at the U.S. Agency for International Development (USAID) as a Higher Education Science and Technology Specialist. At USAID her research focused on the role of science and technology in international development and education activities.

Education

• Ph.D. Electrical Engineering, University of Virginia, January 1995 - January 1998
• M.S. Electrical Engineering, University of Virginia, January 1992 - January 1995
• B.S. Electrical Engineering, University of Virginia, August 1987 - May 1991

Publications

• Alkhasawaneh ,R. & Hobson, R.S., “Summer Transition Program: A Model for Impacting First Year Retention Rates for Underrepresented Groups,” ASEEE Annual Conference and Exposition, Phoenix, AZ, June 2009.
• Demir S., Mirshahi, N., Tiba, M.H., Draucker, G., Ward, K., Hobson, R.S., and Najarian, K., “Image Processing and Machine Learning for Diagnostic Analysis of Microcirculation,” IEEE/CME International Conference on Complex Medical Engineering (CME2009), March 2009.
• Slaughter, G & Hobson, R.S., “An Impedimetric Biosensor Based on PC12 Cells For the Monitoring of Exogenous Agents,” Biosensors and Bioelectronics vol. 24, iss. 5, pp. 1153-1158, January 2009.
• Adams, S.G., Perez, L.C., Hobson, R.S., St. Omer, I., “Globalizing Engineering Education: A Multi-Tiered, Multi-University Approach,” 7th Annual ASEE Global Colloquium on Engineering Education, October 2008.
• Davuluri, P., Hobson, R.S., Eley, C. & Wong, S., “Prediction of Breathing Patterns Using Neural Networks,” in Proc. of 85th Annual Meeting of the Virginia Academy of Science, Harrisonburg Virginia, May 2007.

Research Interests

• Engineering Education and Service Learning
• Artificial Neural Network Applications
• Science and Technology in International Development