BioB.A. in Mathematics and Computer Science, La Salle CollegeM.S. in Electrical Engineering, Duke UniversityPh.D. in Electrical Engineering, Duke University
"Dynamic fault tree analysis has extended the state of the art and the state of the practice in analysis of the dependability of computer systems."Joanne Bechta Dugan, Professor of Electrical & Computer Engineering
Joanne Bechta Dugan is Professor of Electrical and Computer Engineering 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 a new sequence of interdisciplinary courses in robotics, including autonomous vehicles, humanoids and small robots for social applications.
She and her colleagues and students developed the dynamic fault tree model, which has been used for reliability analysis and probabilistic risk assessment by industry, academic and government researchers and contractors. A software tool that embodies this work (called Galileo) was developed by researchers at the University of Virginia and has been used by NASA and its contractors for many years.
In 2000 she was named a Fellow of the IEEE, cited for “contributions to dependability analysis of fault tolerant computer systems.”
In January 2000 she received the IEEE Reliability Society Award, “recognizing the contributions of new techniques for fault tree analysis, including theoretical advances, practical application and technology transfer through software tool development.”
In 2003 she received the Harriet B. Rigas Award for outstanding woman engineering educator, given by IEEE Education and Computer Societies.
In 2014 she was awarded the Hartfield-Jefferson Scholars Teaching Prize, 2014. This prize is awarded annually to faculty in SEAS who exhibit strong commitment to teaching. In the same year she was awarded the Harold S. Morton, Jr. Award for Teaching, for dedication to the education of undergraduate students in SEAS and outstanding teaching in the school’s core courses and the Outstanding teacher award given by the ECE Department.
Dugan was recognized by her undergrad alma mater with the 2016 IT leadership award, in recognition of leadership in the field of information technology, positive impact on the community and commitment to LaSallian values.
She has taught graduate and undergraduate courses in Electrical Engineering, Computer Science, Computer Engineering, Systems Engineering and Mathematics and has advised PhD students in computer science, computer engineering, electrical engineering and systems engineering.