Monojit Banerjee
Papers
1
Total Citations
1
H-Index
1
About
Dr. Monojit Banerjee is a researcher at the intersection of cloud computing, DevOps, and healthcare data science. His primary contributions lie in developing scalable, automated frameworks that bridge software engineering practices with biomedical data analysis. In his most-cited work, Banerjee introduces a cloud-based DevOps framework designed to identify risk factors for hospital utilization, leveraging continuous integration and deployment (CI/CD) pipelines to efficiently process large-scale datasets like the National Health and Nutrition Examination Survey (NHANES). This innovative approach demonstrates how modern software engineering can enhance reproducibility and speed in health informatics. Although his citation count is currently modest, his work represents a forward-looking synthesis of cloud infrastructure and clinical risk modeling. Banerjee’s research is particularly notable for its practical focus on translating data science workflows into reliable, production-ready systems—a critical need in an era of big data in healthcare. His efforts underscore a growing trend toward integrating DevOps methodologies into scientific research, making his contributions relevant for students and professionals interested in health IT, cloud architecture, and data-driven decision support.
Research Focus
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Top Papers
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