Sumon Biswas -

Registered user since Fri 15 Mar 2019

Name:Sumon Biswas

Bio:

Sumon Biswas is a Postdoctoral Researcher at Institute for Software Research (ISR), Carnegie Mellon University. He completed Ph.D. in Computer Science from Iowa State University (ISU). His research interests are in the intersection of Software Engineering, Programming Languages, and Artificial Intelligence. Especially, he focuses on engineering fairness property, and ethical aspects in AI based software. He is also working on ensuring the dependability of safety-critical AI/ML systems. Previously, he worked on ML software repository mining and analysis in large-scale using the Boa framework. He built Python language support for Boa to analyze ML programs and Jupyter Notebooks. He also worked in the D4 (Dependable Data-Driven Discovery) initiative at ISU towards increasing the dependability of data-driven software.

Country:United States

Affiliation:Carnegie Mellon University

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

Twitter:https://twitter.com/sumonbis

GitHub:https://github.com/sumonbis

Research interests:Software Engineering, Artificial Intelligence, Programming Languages

Contributions

ICSE 2024	Committee Member in Research Track within the Research Track-track
ICSE 2023	Author of Fairify: Fairness Verification of Neural Networks within the Technical Track-track Author of Towards Understanding Fairness and its Composition in Ensemble Machine Learning within the Technical Track-track Author of Replication Package of the ICSE 2023 Paper Entitled "Fairify: Fairness Verification of Neural Networks" within the Artifact Evaluation-track Committee Member in ACM Student Research Competition within the SRC - ACM Student Research Competition-track Author of Artifact for the ICSE 2023 Paper Entitled "Towards Understanding Fairness and its Composition in Ensemble Machine Learning" within the Artifact Evaluation-track
ESEC/FSE 2022	Author of 23 Shades of Self-Admitted Technical Debt: An Empirical Study on Machine Learning Software within the Research Papers-track Committee Member in Program Committee within the Doctoral Symposium-track
ASE 2022	Committee Member in Program Committee within the Industry Showcase-track Committee Member in Program Committee within the Late Breaking Results-track
ICSE 2022	Author of The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large within the Technical Track-track
SPLASH 2021	Committee Member in Artifact Evaluation Committee within the OOPSLA Artifacts-track Accessibility Chair in Organizing Committee
ESEC/FSE 2021	Author of Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline within the Research Papers-track
MSR 2021	Committee Member in Shadow PC committee within the Shadow PC-track
SPLASH 2020	Accessibility Chair in Organizing Committee
ESEC/FSE 2020	Author of Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness within the Research Papers-track Panelist of Conversations on Fairness within the Paper Presentations-track
MSR 2019	Author of Boa Meets Python: A Boa Dataset of Data Science Software in Python Language within the MSR 2019 Data Showcase-track