Kate Holdener

Education:

• PhD in Computer Science, Missouri University of Science and Technology
• MS in Computer Science, U. Missouri-Rolla
• BS in Computer Science, BA in Mathematics, Truman State University

Research interests:

Software Engineering, Automation of Software Development Processes, Evolutionary Algorithms

Biography:

Dr. Kate Holdener is an Assistant Professor in the Department of Computer Science. Before joining SLU, Dr. Holdener completed her PhD in Computer Science at Missouri University of Science and Technology in 2008. She subsequently worked in industry for ten years, at Exegy, Inc in various roles such as Software Engineer, Senior API Engineering, and Product Manager. Her research interests focus on the automation of software engineering processes, software development methodologies, and on application of evolutionary algorithms to software engineering.

Publications

Ekaterina A. Holdener and Daniel R. Tauritz. “Learning offspring optimizing mate selection”. In: Genetic and Evolutionary Computation Conference, GECCO 2008, Proceedings, Atlanta, GA, USA, July 12-16, 2008. 2008, pp. 1109–1110. doi: 10.1145/1389095.1389302. url: http://doi.acm.org/10.1145/1389095.1389302.

Courses

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