Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement
- Sayem Imtiaz
- Fraol Batole
- et al.
- ICSE 2023
Rangeet Pan is a research staff member at the IBM T.J. Watson Research Center, Yorktown Heights. His research interests are in the field of software engineering focusing on deep learning, modularity, and program analysis.
He received his Ph.D. degree from the Department of Computer Science at Iowa State University. His supervisor was Dr. Hridesh Rajan. His Ph.D. works are focused on understanding the characteristics of deep learning software and applying various programming techniques, e.g., enabling decomposition in deep learning-based models. His works are published at the top two research venues in software engineering, ESEC/FSE and ICSE. His work on decomposing deep neural networks into modules has been awarded the ACM SIGSOFT Distinguished Paper awards at ESEC/FSE, 2020. He has won 2nd place at the ACM Student Research Competition at ICSE, 2020. He has also been awarded the Research Excellence award and Robert Stewart Early Research Recognition from the Department of Computer Science at Iowa State University.
He will be serving as a program committee member at ESEC/FSE, 2023 for the research track. He served as Web Chair for SPLASH, 2020 and 2021. He has reviewed several papers from the IEEE Transactions on Software Engineering (TSE), Mining Software Repository, and Springer Empirical Software Engineering.
Personal Website: https://rangeetpan.github.io/