Mehil B. Shah

PhD Student at Dalhousie University

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Faculty of CS

Dalhousie University

Halifax, NS

I am a PhD Student in the Faculty of Computer Science at Dalhousie University. I am currently being advised by Prof. Masud Rahman, and Prof. Foutse Khomh. My primary research interests are at the intersection of Software Engineering and Deep Learning, with a focus on secure, reliable, and explainable deep learning systems. My current research focuses on understanding the behaviour of bugs in deep learning systems and trying to improve the reproducibility of deep learning bugs.

My research interests center on enhancing the reproducibility of bugs in deep learning systems. I investigate methods to systematically identify, document, and reproduce software bugs that emerge in these systems. As deep learning becomes increasingly deployed in critical applications, bugs can have significant consequences yet are notoriously difficult to reproduce due to their stochastic nature, hardware dependencies, and complex environmental interactions. By developing better tools and methodologies for bug reproduction, I aim to improve the reliability of deep learning systems and advance the field’s debugging practices.

news

Dec, 2024 Successfully passed the comprehensive exam (RAD), officially a PhD Candidate now :)
Nov, 2024 Will be serving as Web Chair for IJCAI’25, thanks to Prof. Foutse Khomh and Prof. Gilles Pesant for the opportunity.
Nov, 2024 The preprint for our latest work titled “Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering”, is available on arXiv.