Anon Photo

Sumon Biswas

Assistant Professor, Computer and Data Sciences Department

Software engineering (SE), Artificial Intelligence (AI), Responsible AI Engineering, Fairness and Safety. 

Office: 608 Olin Building
Phone Number: (216) 368-1494
Email: sumon@case.edu

Teaching Interests

Responsible AI Engineering, Software Engineering

Academic Qualifications:

  • Postdoc, Carnegie Mellon University, 2024
  • Ph.D. in Computer Science, Iowa State University, 2022

Publications:

  • David OBrieng , Sumon Biswas, Sayem Mohammad Imtiaz, Rabe Abdalkareem, Emad Shihab and Hridesh Rajan. Are Prompt Engineering and TODO Comments Friends or Foes? An Evaluation on GitHub Copilot, In Proceedings of the 46th IEEE/ACM International Conference on Software Engineering (ICSE), 2024.
  • Sumon Biswas and Hridesh Rajan. Fairify: Fairness Verification of Neural Networks. In Proceedings of the 45th IEEE/ACM International Conference on Software Engineering (ICSE), 2023. 
  • Usman Gohar, Sumon Biswas and Hridesh Rajan. Towards Understanding Fairness and its Composition in Ensemble Machine Learning. In Proceedings of the 45th IEEE/ACM International Conference on Software Engineering (ICSE), 2023.
  • Giang Nguyen , Sumon Biswas and Hridesh Rajan. Fix Fairness, Don’t Ruin Accuracy: Performance Aware Fairness Repair using AutoML. In Proceedings of the 31st ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2023.
  • Sumon Biswas, Mohammad Wardat and Hridesh Rajan. The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large. In Proceedings of The 44th International Conference on Software Engineering (ICSE), 2022.
  • David OBrien, Sumon Biswas, Sayem Mohammad Imtiaz, Rabe Abdalkareem, Emad Shihab and Hridesh Rajan. 23 Shades of Technical Debt: An Empirical Study on Machine Learning Software. In Proceedings of the 30th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2022.
  • Sumon Biswas and Hridesh Rajan. Fair preprocessing: Towards understanding compositional fairness of data transformers in machine learning pipeline. In Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2021.
  • Sumon Biswas and Hridesh Rajan. Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness. In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2020.

 

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