January 3-5, San Diego.
February 3-4, Washington, DC
February 5-7, Washington, DC
February 7-9 San Antonio
February 19-24, Havana
March 12-14, Arlington, VA
April 8-11, New Orleans
April 29 – May 1, Crystal City, VA
June 21-23, Salt Lake City
June 24-27, Salt Lake City
Sept 20-22 Crystal City, VA
Harry Powell received the B.S. in Electrical Engineering the University of Virginia in 1978, a M.S. in Electrical Engineering in 2006, and the Ph.D. in Electrical Engineering in 2011. Dr. Powell spent over 20 years in industry designing computer controlled automated systems before returning to academia in 2001. He was appointed to the faculty in 2013, and teaches courses in electric and electronic circuit analysis, electromagnetic energy conversion, embedded computing, and the 4th year Major Design Experience.
Joanne Bechta Dugan was awarded the B.A. degree in Mathematics and Computer Science from La Salle University, Philadelphia, PA in 1980, and the M.S. and PhD degrees in Electrical Engineering from Duke University, Durham, NC in 1982 and 1984, respectively. She has performed and directed research on the development and application of techniques for the analysis of computer systems which are designed to tolerate hardware and software faults. Dr. Dugan is an IEEE Fellow. She was Associate Editor of the IEEE Transactions on Reliability for 10 years, and is currently Associate Editor of the IEEE Transactions on Software Engineering. She served on the National Research Council Committee on Application of Digital Instrumentation and Control Systems to Nuclear Power Plant Operations and Safety. She is also a member of Eta Kappa Nu, and Phi Beta Kappa. Previously, she taught at Duke University and worked as a visiting scientist at the Research Triangle Institute.
Joanne Bechta Dugan is Professor of Electrical and Computer Engineering and the Director of the Computer Engineering Programs at the University of Virginia. Her research focuses on probabilistic assessment of the dependability of computer-based systems. She has developed the dynamic fault tree model, which extends the applicability of fault tree analysis to computer systems. Current work focuses on the development of new technologies and engineering approaches to evaluate and improve engineering education, both in traditional classroom setting and in non-traditional on-line settings. Dugan holds a B.A. degree in Mathematics and Computer Science from La Salle University, and M.S. and PhD degrees in Electrical Engineering from Duke University.
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