Debajit Sen
Papers
1
Total Citations
2
H-Index
1
About
Dr. Debajit Sen is a researcher at the forefront of applying soft computing and hardware acceleration to pressing biomedical challenges. His work centers on intelligent diagnostic automation, value chain optimization, and the development of hardware-accelerated systems for real-time health analytics. Sen’s most notable contribution is the COVED framework—a hardware-accelerated, soft computing-enabled intelligent system designed for the estimation and identification of nCOVID-19. This work addresses the critical need for rapid, scalable diagnostic tools during the COVID-19 pandemic, integrating value chain principles to enhance detection accuracy and operational efficiency. Although his most-cited paper has garnered 2 citations, its conceptual and technical novelty highlights Sen’s focus on bridging hardware acceleration with AI-driven diagnostics. His research is particularly relevant for students and researchers interested in embedded systems, biomedical AI, and pandemic response technologies. Dr. Sen continues to explore how intelligent systems can transform healthcare delivery, making his work a valuable reference for those seeking to understand the intersection of soft computing, hardware design, and real-world medical applications.
Research Focus
Key Achievements
Top Papers
- 1