Sumon Biswas

Sumon Biswas is a tenure-track Assistant Professor in the Department of Computer and Data Sciences at Case Western Reserve University's Case School of Engineering. His research focuses on the intersection of Software Engineering and Artificial Intelligence, particularly in modeling, verification, and design of responsible AI systems. He employs both formal and empirical methods to ensure algorithmic fairness and safety in ML pipelines.

Education:

• Postdoctoral Researcher at Carnegie Mellon University
• PhD in Computer Science from Iowa State University
• MS in Computer Science from Iowa State University

Research Focus: His work centers on Responsible AI Engineering with specific emphasis on fairness verification of neural networks, compositional fairness in ML pipelines, long-term fairness analysis, and safety assurance of predictive systems. He develops techniques using formal verification, causal reasoning, and empirical analysis to address bias in data transformers and ensemble learning.

Publication Trends: Biswas consistently publishes in top-tier software engineering venues (ICSE, FSE, ASE) with research evolving from empirical fairness studies to formal verification techniques and pipeline architecture design. Recent works focus on LLM-assisted technical debt management and long-term fairness guarantees in ML systems.

Awards & Honors:

• Research Excellence Award from Iowa State University (2022)
• ACM SIGSOFT CAPS Grants (2021, 2022)
• Publication Award from ISU Computer Science Department
• Distinguished Reviewer for ACM TOSEM

Academic Service: Actively serves on program committees for ICSE (2024-2025), ASE (2023-2024), and reviews for IEEE TSE, IEEE Software, and EMSE. Mentors students through ICSE SMeW and judges research competitions.

Research Group: Leads a lab focused on Responsible AI Engineering and seeks motivated PhD/MS students to work on verification and design of fair/safe AI systems.