Baishakhi Ray
Associate Professor
Columbia University
Office: CEPSR 604
Phone: +1-212-939-7112
Fax: +1-212-666-0140
I am primarily interested in improving software reliability and developers' productivity for traditional and AI-driven software. To know more about my research, please check ARiSE Lab.
Selected Publications
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SE4AI: Software Testing for AI-based Systems
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Testing DNN Image Classifiers for Confusion & Bias Errors, ICSE 2020
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DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars, ICSE 2018
AI4SE: Software Analysis with AI
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Neutaint: Efficient Dynamic Taint Analysis with Neural Networks, S&P (Oakland)
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NEUZZ: Efficient Fuzzing with Neural Program Smoothing, S&P (Oakland) 2019
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Building Language Models for Text with Named Entities, ACL 2018
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Check out Publication for more details.
Awards
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Honors:
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VMware Early Career Faculty Award, 2020.
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IBM Faculty Award, 2019.
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NSF CAREER Award, 2019.
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Best Paper Award:
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EAPLS (European Association of Programming Languages and Systems) FASE best paper award, 2020.
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ACM Distinguished Paper Award, FSE 2017.
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ACM Distinguished Paper Award, MSR 2017.
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Best Student Paper Award, S&P (Oakland) 2014.
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Fundings:
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NSF CAREER: Systematic Software Testing for Deep Learning Applications, 2019-2024.
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NSF grant for organizing Workshop on Deep Learning and Software Engineering, 2019-2019.
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NSF EAGER: Finding Semantic Security Bugs with Pseudo-Oracle Testing, 2018-2020.
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NSF SPX: Integrating Persistent Memory in the Cloud, 2018-2021.
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NSF CHS: Small: Translating Compilers for Visual Computing in Dynamic Languages, 2016-2019.
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NSF TWC: Small: Collaborative: Automated Detection and Repair of Error Handling Bugs in SSL/TLS Implementations, 2016-2019.