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ICSE 2023
Sun 14 - Sat 20 May 2023 Melbourne, Australia
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
Research interests:Software Engineering, Artificial Intelligence, Programming Languages

Contributions

ICSE 2023 Fairify: Fairness Verification of Neural Networks
Towards Understanding Fairness and its Composition in Ensemble Machine Learning
Replication Package of the ICSE 2023 Paper Entitled "Fairify: Fairness Verification of Neural Networks"
Committee Member in ACM Student Research Competition within the SRC - ACM Student Research Competition-track
Artifact for the ICSE 2023 Paper Entitled "Towards Understanding Fairness and its Composition in Ensemble Machine Learning"
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