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Qingkai Shi is a Postdoc Research Associate in the department of computer science, Purdue University. His major research interest is the use of compiler techniques to ensure software reliability. He has published extensively at premium venues of programming languages (PLDI, OOPSLA), software engineering (ICSE, FSE, TSE, ISSTA), and cybersecurity (S&P). His research received many awards including ACM SIGSOFT Distinguished Paper Award and Hong Kong Ph.D. Fellowship. His research has led to the discovery of over a hundred software vulnerabilities in open-source software and has been successfully commercialized in Sourcebrella Inc, a static analysis tool vendor. Qingkai obtained his Ph.D. and B.S. from Nanjing University and the Hong Kong University of Science and Technology, respectively.
|SPLASH 2021||Program Analysis via Efficient Symbolic Abstraction|
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