Shaila Sharmin
Position
- PhD Student
Shaila Sharmin is a Ph.D. student in Computer Science at Iowa State University, advised by Prof. Wei Le. Her research focuses on the intersection of software engineering and machine learning, with an emphasis on detecting, localizing, and mitigating numerical instabilities in ML and scientific code. She is actively developing automated tools to track floating-point errors and improve the reliability of models and solvers, with applications spanning deep neural networks and high-performance computing. Shaila previously gained research experience at Lawrence Livermore National Laboratory (LLNL) and industry experience at Therap (BD) Ltd as a software quality assurance engineer. She earned her B.Sc. and M.Sc. in Computer Science from Jahangirnagar University and joined Iowa State in 2021.
Area of Expertise
- Software Engineering
- Machine Learning
- Software Testing
Education
- B.Sc., Computer Science, Jahangirnagar University, 2014
- M.Sc., Computer Science, Jahangirnagar University, 2015
Publications
Shaila Sharmin, Anwar Hossain Zahid, Subhankar Bhattacharjee, Chiamaka Igwilo, Miryung Kim, and Wei Le. 2025. Automatically Detecting Numerical Instability in Machine Learning Applications via Soft Assertions. Proc. ACM Softw. Eng. 2, FSE, Article FSE124 (July 2025), 22 pages. https://doi.org/10.1145/3729394