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Wei Le Associate Professor CV
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If you are interested in finding/fixing vulnerabilities, machine learning for code and/or analyzing deep learning systems, please send your CV to weile@iastate.edu. I am mostly looking for PhD students, but exceptional master and undergraduate students will also be considered. |
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Recent Work and News |
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Multiple RA openings: (1) vulnerability analysis for C/C++ (2) machine learning for medical applications. If you have relevant background, please send your CV to weile@iastate.edu (your applications will be considered, but I may not be able to reply to all the emails). We thank CERT and SEI@CMU for the collaboration and grant on managing security vulnerabilities in the continuous integration Congratulations Mohammad Wardat for the accepted ICSE21 paper: DeepLocalize: Fault Localization for Deep Neural Networks Please check out our open source tool: Hydrogen is a program analysis tool that can compare and analyze software versions and evolution. It has been used in our program analysis class |
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Research Interests
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Selected Research Papers
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2016-2021 Fall/Spring: COM S 342 Principles of Programming Languages 2016-2021 Spring: COM S 413, COM S/CPRE 513 Foundations and Applications of Program Analysis 2020 Spring: COM S 665A Advanced Topics -- the Intersection of Software Engineering and Machine Learning |
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Co-chairing: ISSTA 2021 Doctoral Symposium, ICSE 2020 Co-located Events, 2018 Midwest Big Data Summer School Software Analytics Track, ESEC/FSE 2017 Doctoral Symposium, ICST 2017 Workshop, ICST 2016 Testing Tool Demo
PC/Journal Review: ICSE 2016/2019/2021/2022, FSE 2018/2019/2020, ASE 2016/2018/2021, TSE 2015/2016/2017, TOSEM 2014/2015/2016/2019, ICST 2016, ISSTA 2015/2020, ICSE 2015 Demonstration, ICPC 2014 ERA, MOBS 2013 Panelist: NSF 2013/2014/2016/2018/2019, DOE 2015/2016 STEM Volunteering: Instructor @ Software Carpentry and Data Carpentry 2017-present, SIGSOFT CAPS coordinator: 2014-2015 |
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