Gail Kaiser

Registered user since Mon 8 Feb 2016

Name: Gail Kaiser

Bio: Gail E. Kaiser is a Professor of Computer Science and the Director of the Programming Systems Laboratory in the Computer Science Department at Columbia University. She was named an NSF Presidential Young Investigator in Software Engineering and Software Systems in 1988, and has published over 150 refereed papers in a range of software areas. Prof. Kaiser’s research interests include social software engineering, collaborative work, privacy and security, software reliability, self-managing systems, parallel and distributed systems, Web technologies, information management, and software development environments and tools. She has consulted or worked summers for courseware authoring, software process and networking startups, several defense contractors, the Software Engineering Institute, Bell Labs, IBM, Siemens, Sun and Telcordia. Her lab has been funded by NSF, NIH, DARPA, ONR, NASA, NYS Science & Technology Foundation, and numerous companies. Prof. Kaiser served on the editorial board of IEEE Internet Computing for many years, was a founding associate editor of ACM Transactions on Software Engineering and Methodology, chaired an ACM SIGSOFT Symposium on Foundations of Software Engineering, vice chaired three of the IEEE International Conference on Distributed Computing Systems, and serves frequently on conference program committees. She also served on the Committee of Examiners for the Educational Testing Service’s Computer Science Advanced Test (the GRE CS test) for three years, and has chaired her department’s doctoral program since 1997. Prof. Kaiser received her PhD and MS from CMU and her ScB from MIT. See her CV at http://www.cs.columbia.edu/~kaiser/vita.html for details. Her lab’s website is http://www.psl.cs.columbia.edu.

Country: United States

Affiliation: Columbia University, New York

Personal website: http://www.cs.columbia.edu/~kaiser/

Research interests: Software reliability, information management, social software engineering, and software development environments and tools

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