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Sumon Biswas
Software Engineering (SE)
Algorithmic Fairness
Responsible AI Systems
Verification Techniques For AI
LLM-enabled Workflows
About
Research Interests
My research focuses in the intersection of Software Engineering and AI, developing models, verification techniques, and design principles for responsible AI systems. Combining both formal with empirical methods, I aim to ensure algorithmic fairness and safety across end-to-end AI pipeline and LLM-enabled workflows, through analysis of various software abstractions and their real-world implementations.
Research Performance Summary
2014-2025
Active Research Span
First Recorded Paper
Cloud based healthcare application architecture and electronic medical record mining: an integrated approach to improve healthcare system
Year:
2014
Citations:
74
Venue:
2014 17th international conference on computer and information technology
Latest Recorded Paper
Bias Testing and Mitigation in Black Box LLMs using Metamorphic Relations
Year:
2025
Citations:
0
Venue:
arXiv preprint arXiv:2512.00556
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Biswas
Rajan
Research Impact by Period
Papers
3
Citations
5
Avg. Citations / Paper
1.7
H-Index
1
Papers
14
Citations
631
Avg. Citations / Paper
45.1
H-Index
8
Papers
6
Citations
92
Avg. Citations / Paper
15.3
H-Index
2
Papers
1
Citations
74
Avg. Citations / Paper
74
H-Index
1
Contact and Professional Links
Detected Research Keywords
Machine Learning Models
Data Science Pipelines
Electronic Medical Record
Medical Record Mining
Record Mining Integrated
Mining Integrated Approach
Integrated Approach Improve
Approach Improve Healthcare
Improve Healthcare System
Tertiary Level Hospital