Rangeet Pan -

Registered user since Mon 14 Oct 2019

Name:Rangeet Pan

Bio:

Rangeet Pan is a research staff member at IBM Research, Yorktown Heights.

Country:United States

Affiliation:IBM Research

Personal website:https://rangeetpan.github.io/

Research interests:Program Analysis, Software Engineering, Deep Learning

Contributions

ICSE 2024	Committee Member in Software Engineering in Practice within the Software Engineering in Practice-track
WAM 2023	Organizing Committee in Organizing Committee within the WAM 2023-track
ESEC/FSE 2023	Committee Member in Program Committee within the Research Papers-track
ASE 2023	Committee Member in Program Committee within the Tool Demonstrations-track
PLDI 2023	Committee Member of Towards Supporting Universal Static Analysis using WALA within the Tutorials-track
ICSE 2023	Author of Artifact for the paper - "Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement" within the Artifact Evaluation-track Author of Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement within the Technical Track-track
ESEC/FSE 2022	Author of On Decomposing a Deep Neural Network into Modules within the ESEC/FSE 2020-track
ICSE 2022	Author of Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules within the Technical Track-track Author of Manas: Mining Software Repositories to Assist AutoML within the Technical Track-track
SPLASH 2021	Committee Member in Artifact Evaluation Committee within the OOPSLA Artifacts-track Web Chair in Organizing Committee
ICSE 2021	Author of Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis within the Technical Track-track
MSR 2021	Committee Member in Shadow PC committee within the Shadow PC-track
SPLASH 2020	Web Chair in Organizing Committee
ESEC/FSE 2020	Panelist of Conversations on ML Model Building within the Paper Presentations-track Author of On Decomposing a Deep Neural Network into Modules within the Research Papers-track
ICSE 2020	Author of Repairing Deep Neural Networks: Fix Patterns and Challenges within the Technical Papers-track Author of Does Fixing Bug Increase Robustness in Deep Learning? within the ACM Student Research Competition-track