Gail E. Kaiser is a Professor of Computer Science and the Director of the Programming Systems Laboratory (PSL) in the Computer Science Department at Columbia University. Prof. Kaiser's research interests lie primarily in software engineering, following a systems building approach, in recent years focusing on static and dynamic program analysis techniques with goals towards improving software reliability and security. 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, and chaired an ACM SIGSOFT Symposium on Foundations of Software Engineering. She has chaired the department's doctoral programs since 1997. Prof. Kaiser received her PhD from CMU and her ScB from MIT. See her CV at http://www.cs.columbia.edu/~kaiser/vita.html.

Prof. Kaiser is seeking new undergraduate, postgraduate or MS project students for Fall 2017 and beyond. Specific projects currently seeking new students are listed at http://www.psl.cs.columbia.edu/project-advertisements/.

Prof. Kaiser will teach COMS W4156 Advanced Software Engineering in Fall 2017. This is a lecture and lab course that focuses on how to develop web or mobile applications leveraging open-source software, third-party frameworks, and industry-standard best practices and tools. The course covers modern agile processes, object-oriented design, and continuous integration, with a strong emphasis on rigorous testing for both conventional bugs and security vulnerabilities. 4156 ("ASE") is required for the MS computer security and software systems tracks. MS students from other tracks, undergraduate CS/CE majors, and non-majors who have completed COMS W3157 or equivalent are strongly encouraged to take the course.

Prof. Kaiser will teach COMS E6156 Topics in Software Engineering in Spring 2018. In 4156, students "do" software engineering using best practices, tools and techniques. In 6156, students "study" software engineering, and investigate how to improve practices, tools and techniques. 6156 enables students to choose their own research topic within software engineering, broadly construed. Software engineering perspectives on program understanding, quality, reliability, security and/or privacy would fit, as would methods/techniques like program analysis, prediction of software properties from 'big code', and usability studies. This course is a 6k track elective for the MS Software Systems track. If you choose a security/privacy focus, then the course may be acceptable as a 6k track elective for the MS Computer Security track; contact Prof. Steve Bellovin for further information (smb@cs.columbia.edu). 6156 is a general elective for all other CS/CE undergraduate and MS tracks.

 

Breaking News (11/12/15): 'Seek Funding' Step Added To Scientific Method

Slides from Prof. Kaiser's "Distinguished Lecture" at the University of Southern California from April 18, 2013.

Alex Orso's advice on how to get your paper accepted at a top software engineering conference.

 

 

Current Academic Visitors:

Current PSL Doctoral Students:

Former PSL Doctoral Students, MS GRAs, Staff and Visitors:

 

Prof. Kaiser's Greatest Achievement 

 

Prof. Gail E. Kaiser
Columbia University
Department of Computer Science
607 CEPSR
[snailmail: 1214 Amsterdam Avenue
Mail Code 0401]

[express/package delivery:
500 W. 120th St., Room 450]
New York, NY 10027
United States

voicemail: 212-939-7081
lab: 212-939-7100
department main number: 212-939-7000
email: kaiser@cs.columbia.edu

gek1@columbia.edu and kaiser@columbia.edu also work,
its the same account

Last updated May 31, 2017 .
Copyright
Gail E. Kaiser.