Sumon Biswas
Postdoctoral Researcher
Institute for Software Research
School of Computer Science
Carnegie Mellon University
Email: sumonb@cs.cmu.edu
About Me
I am a Postdoctoral Researcher at Institute for Software Research (ISR), Carnegie Mellon University. I am working with Dr. Eunsuk Kang on the safety and fairness of high-assurance AI based software systems. I completed my Ph.D. in Computer Science from Iowa State University (ISU) under the supervision of Dr. Hridesh Rajan. For my dissertation, I worked on verifying and reasoning algorithmic fairness in machine learning pipeline.
Research
My research interests are in the intersection of Software Engineering (SE), Programming Languages (PL), and Artificial Intelligence (AI). Especially, my research focuses on the design and formal modeling in the SE for AI area. Previously, I worked in the D4 (Dependable Data-Driven Discovery) Institute at ISU and focused on the dependability of data-driven software. Especially, my research unraveled several SE aspects, compositional reasoning, and verification of fairness property in real-world ML pipelines.
My research combines the formalization and its application in real-world software. I worked on mining open source repositories and conducted large-scale program analysis using the Boa domain-specific language. I built Python language support for the Boa compiler and analyzed machine learning (ML) programs and Jupyter Notebooks. I am also interested in SE research using rich source of code and metadata available in GitHub, StackOverflow, Kaggle, and solve SE problems in the area of design, architecture, technical debt, defects, modularity, and evolution.
Download my curriculum vitae. Feel free to reach out for any discussion.
- Software Engineering
- Programming Languages
- Artificial Intelligence
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Ph.D. in Computer Science, 2022
Iowa State University
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M.S. in Computer Science, 2021
Iowa State University
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B.S. in Information Technology, 2015
Jahangirnagar University
Experience
Publications
Accomplishments
Services
Journal Reviewer
TSE
Serving as the reviewer for IEEE Transactions on Software Engineering (TSE).
TOSEM
Serving as a reviewer for ACM Transactions on Software Engineering and Methodology (TOSEM).
EMSE
Serving as a reviewer for Springer Journal - Empirical Software Engineering (EMSE).
Conference Program Committees
PC Member @ ASE'22
Served as the Program Committee member of Industry Showcase track of ASE 2022.
PC Member @ ASE'22
Served as the Program Committee member of Late Breaking Results track of ASE 2022.
PC Member @ ESEC/FSE'22
Serving as the Program Committee member of Doctoral Symposium track of ESEC/FSE 2022.
Artifact Evaluation Committee @ OOPSLA'21
Served in the program committee of artifact track of ACM SIGPLAN conference on Object-Oriented Programming, Systems, Languages & Applications (OOPSLA'21) co-located at SPLASH 2021, Chicago, IL.
Shadow PC Member @ MSR'21
Served as the shadow program committee member at the International Conference on Mining Software Repositories (MSR 2021), co-located with ICSE'21, Madrid, Spain.
Organizing Committees
Accessibility Chair @ SPLASH'20-21
Served the organizing committee of ACM SIGPLAN conference on Systems, Programming, Languages, and Applications (SPLASH 2020 and SPLASH 2021) with OOPSLA, ECOOP and REBASE in Chicago, IL.
Web Chair @ Midwest Big Data Summer School
Served in the organizing committee of the Midwest Big Data Summer School 2021 in Ames, IA, United States.
WiDS Ambassador
Served as the WiDS Ambassador (Women in Data Science) to organize and promote ISU event as part of the annual WiDS Worldwide Conference organized by Stanford University.
Panelist @ ESEC/FSE'20
Served the panel discussion of the session on Fairness at ACM ESEC/FSE 2020 in Sacramento, CA.
Research Projects
Design and Architecture of Data Science Pipelines
We study, design, and analyze the DS pipeline architecture consisting stages such as preprocessing, modeling, training, evaluation, etc.
Causal Fairness in Machine Learning Pipeline
We used causal reasoning to measure fairness of components and remove them from machine learning pipeline.
Fairness Engineering in ML Models
We have studied the software engineering concerns of fairness in real-world machine learning models.
ML Repo Dataset from GitHub
This dataset is created by mining 5M Python program snapshots. The code is transformed to AST for static analysis.
Large-Scale Mining of Data-Science Software from GitHub
Mining and analyzing data-science repositories can provide insights from historical data.
Academic Projects
Recent News
| June 2022: | Paper accepted in ESEC/FSE'22 research track. |
| May 2022: | Presented ICSE'22 paper on Data Science Pipeline in-person at Pittsburgh, PA. |
| May 2022: | Joined ISR at Carnegie Mellon University as a Postdoctoral Researcher |
| May 2022: | Received Research Excellence Award from Iowa State University. |
| Apr 2022: | Organized the Women in Data Science (WiDS) event at ISU and served as an ambassador of WiDS Global, Stanford University. |
| Apr 2022: | Defended my Ph.D. thesis “Understanding and Reasoning Fairness in Machine Learning Pipelines”. |
| Apr 2022: | Awarded ACM SIGSOFT CAPS grant to attend ICSE'22 in-person at Pittsburgh. |
| Mar 2022: | Artifact accepted for my ICSE'22 paper on Data Science Pipelines. |
| Feb 2022: | Gave an invited talk at the CREATE SE4AI group organized by Concordia University, Polytechnique Montreal, Queen’s University, and University of Alberta. |
| Dec 2021: | Paper accepted at ICSE'22 research track. |
| Aug 2021: | Present paper on Fair Preprocessing in ESEC/FSE'21. |
| July 2021: | Awarded ACM SIGSOFT CAPS grant to attend ESEC/FSE'21. |
| June 2021: | Artifact accepted for ESEC/FSE'21 paper on Fair Preprocessing. |
| Jun 2021: | Joined the program committee of the artifact track of OOPSLA'21. |
| June 2021: | Received publication award from ISU computer science department for publishing in the top-tier venues. |
| July 2020: | Attending ICSE 2021 conference. |
| Apr 2021: | Paper accepted in ESEC/FSE'21 research track. |
| May 2021: | Passed the Ph.D. candidacy exam. |
| Jan 2021: | Selected for Shadow PC for the MSR'21 technical track. |
| Nov 2020: | Attending OOPSLA'21 conference. |
| Nov 2020: | Present paper on ML Fairness in ESEC/FSE'20. |
| July 2020: | Attending ICSE 2020 conference. |
| May 2020: | Organizing Mid-West Big Data Summer School. |
Recent Posts
Contact
- sumonb@cs.cmu.edu
- (515) 708-6166
- TCS Hall 461, 4665 Forbes Avenue, Pittsburgh, PA 15213
- DM Me
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