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.

Interests
  • Software Engineering
  • Programming Languages
  • Artificial Intelligence
Education

  • Ph.D. in Computer Science, 2022

    Iowa State University

  • M.S. in Computer Science, 2021

    Iowa State University

  • B.S. in Information Technology, 2015

    Jahangirnagar University

Experience

 
 
 
 
 
Institute for Software Research, Carnegie Mellon University
Postdoctoral Researcher
Institute for Software Research, Carnegie Mellon University
May 2022 – Present Pittsburgh, PA, United States
 
 
 
 
 
Laboratory for Software Design, Iowa State University
Research Assistant
Laboratory for Software Design, Iowa State University
May 2018 – May 2022 Ames, Iowa, United States
 
 
 
 
 
Dept. of Computer Science, Iowa State University
Teaching Assistant
Dept. of Computer Science, Iowa State University
Aug 2016 – May 2018 Ames, Iowa, United States

Publications

David OBrien, Sumon Biswas, Sayem Imtiaz, Rabe Abdalkareem, Emad Shihab, Hridesh Rajan In 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2022.
Cite Code PDF
Sumon Biswas, Mohammad Wardat, Hridesh Rajan In 44th International Conference on Software Engineering (ICSE), 2022.
Cite Code DOI PDF arXiv Talk
Sumon Biswas, Hridesh Rajan In 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2021.
Cite Code DOI PDF arXiv Talk
Sumon Biswas, Hridesh Rajan In 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2020.
Cite Code DOI PDF arXiv Talk
Sumon Biswas, Md Johirul Islam, Yijia Huang, Hridesh Rajan In 16th International Conference on Mining Software Repositories (MSR), 2019.
Cite Code Dataset DOI PDF Slides
See all publications

Accomplish­ments

Research Excellence Award
Iowa State University May 2022
Awarded by ISU recognizing outstanding research for the Ph.D. dissertation.
CAPS Award
ACM SIGSOFT Apr 2022
Awarded by ACM to attend ICSE 2022 conference in-person at Pittsburgh, PA.
Publication Award
Department of Computer Science, ISU Mar 2022
Awarded by ISU Computer Science Department in consecutive years 2021-22 for publication in the top-tier venues.
CAPS Award
ACM SIGSOFT Jun 2021
Awarded by ACM to attend ESEC/FSE 2021 conference.
PLMW Scholar @ PLDI
ACM SIG Scholarships Jun 2019
ACM SIG Scholarships, awarded by Programming Language Mentoring Workshop (PLMW) at PLDI'19 (Programming Language Design and Implementation), Phoenix, AZ.
ACM Travel Grant
IMA Workshop on Recent Themes in Privacy, Fairness and Robustness May 2019
Awarded to attend Institute for Mathematics & its Applications (IMA) Workshop, University of Minnesota, June 18-29, 2019.
Professional Advancement Grants
Iowa State University Apr 2019
Awarded by Graduate and Professional Student Senate (GPSS) at Iowa State University
NST Fellowship
Ministry of Science & Technology, Bangladesh Feb 2015 – Feb 2016
National Science and Technology (NST) Fellowship Awarded by Ministry of Science & Technology, Bangladesh for Research Excellence.

Services

Journal Reviewer

Conference Program Committees (PC)

  • ICSE'24: Serving as the Program Committee member of Technical Track of ICSE 2024.

  • ICSE'23: Serving as the Program Committee member of Student Research Competition track of ICSE 2023.

  • ASE'22: Served as the Program Committee member of Industry Showcase track of ASE 2022.

  • ASE'22: Served as the Program Committee member of Late Breaking Results track of ASE 2022.

  • ESEC/FSE'22: Serving as the Program Committee member of Doctoral Symposium track of ESEC/FSE 2022.

  • OOPSLA'21 AEC: 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.

  • 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

*
All ML Fairness SE for AI/ML BigCode Mining Other
Design and Architecture of Data Science Pipelines

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

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

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

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

Large-Scale Mining of Data-Science Software from GitHub

Mining and analyzing data-science repositories can provide insights from historical data.

Academic Projects

Quantifying Uncertainty of DNN Hyperparameter Optimization using a First Order Type
We provided aid to the deep learning programmers to quantify uncertainty in the model hyperparameters and help them to make informed decision while initializing hyperparameters. We have leveraged a first order type Uncertain to represent the uncertainty in the random hyperparameters and choose the best value by performing statistical tests on the distribution.
Sep 11, 2019
GitHub
Semantics of Compound Comparison Statement and Generator Function in Lambda Calculus
I have extended Lambda calculus using Coq proof assistant to implement a core language that includes two Python language features (compound comparison statement and generator function). I have also described the syntax, operational semantics and type system of the features.
Feb 22, 2019
GitHub
See all

Recent News
Sep 2022: Joined the Program Committee of ICSE 2024 technical track.
Aug 2022: I’ve been invited to serve the Board of Distinguished Reviewers for the Journal TOSEM (ACM Transactions on Software Engineering and Methodology).
Jun 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.
Jul 2021: Awarded ACM SIGSOFT CAPS grant to attend ESEC/FSE'21.
Jun 2021: Artifact accepted for ESEC/FSE'21 paper on Fair Preprocessing.
Jun 2021: Joined the program committee of the artifact track of OOPSLA'21.
Jun 2021: Received publication award from ISU computer science department for publishing in the top-tier venues.
Jul 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.
Jul 2020: Attending ICSE 2020 conference.
May 2020: Organizing Mid-West Big Data Summer School.

Recent Posts

SPLASH 2021 Retrospective: Organizing a Premier PL Conference in Hybrid
I served in the organizing committee of SPLASH'20 and SPLASH'21. In the former, we arranged a virtual one because of the pandemic. In 2021, we took a step forward to organize a hybrid conference with a large body of participants in-person in Chicago, which taught us important lessons.
Aug 6, 2022 2 min read Events
SPLASH 2021 Retrospective: Organizing a Premier PL Conference in Hybrid
Our Research Identifies Unfairness in the Component Level of AI Based Software
We proposed causal reasoning in machine learning pipeline to measure fairness of data preprocessing stages.
May 2, 2021 3 min read Research
Our Research Identifies Unfairness in the Component Level of AI Based Software
How to Add Closed Captions in Your Video Talk
This tutorial shows how to generate closed captions for your talk using YouTube Studio. This will come handy for accessability purpose for recording talks. These easy steps generate transcript automatically which is also editable.
Last updated on Nov 13, 2020 3 min read Tutorial
How to Add Closed Captions in Your Video Talk
Being a Part of A Premier Data Science Research Hub
D4 Institute is an interdisciplinary data science hub at Iowa State university where professors, graduate students, REU students, and researchers from Computer Science, Electrical Engineering, Mathematics, Statistics collaborate to ensure the dependability of data science.
Last updated on Sep 18, 2020 3 min read Research
Being a Part of A Premier Data Science Research Hub
Boa for Big-Code Mining and Large-Scale Static Analysis
This tutorial demonstrates how to setup Boa on local machine and generate new GitHub dataset. It includes a screencast to go over the steps.
Last updated on May 26, 2019 4 min read Tutorial
Boa for Big-Code Mining and Large-Scale Static Analysis
Computational Thinking of K-12 Outreach Program
I was the judge of the K-12 computational thinking organized by the computer science department at Iowa State University.
Last updated on Apr 15, 2018 3 min read
Computational Thinking of K-12 Outreach Program

Popular Topics

aco Android ast big-data BigCode boa Causal reasoning Closed-captions Cloud-computing Conference Data science data science pipelines Database Fairness Machine learning models MSR program analysis SE4ML Security

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