Swarnava Biswas
Papers
1
Total Citations
2
H-Index
1
About
Swarnava Biswas is a researcher at the intersection of intelligent systems and healthcare diagnostics, with a focus on leveraging soft computing and hardware acceleration for real-world medical challenges. His most cited work, "COVED: A Hardware Accelerated Soft Computing Enabled Intelligent Value Chain Based Diagnostic Automation for nCOVID-19 Estimation and Identification" (2021), addresses the urgent need for rapid, automated COVID-19 detection during the pandemic. By integrating soft computing techniques with hardware acceleration, Biswas proposed a novel value chain-based framework capable of estimating and identifying nCOVID-19 cases, tackling the virus’s varied spread across demographics and its genetic mutations. Though early in his citation impact, this work demonstrates a forward-thinking approach to combining computational efficiency with diagnostic precision. Biswas’s contributions lie in advancing automated diagnostic systems that can adapt to dynamic health crises, bridging the gap between theoretical AI models and deployable hardware solutions. His research holds promise for scalable, intelligent healthcare tools, positioning him as an emerging voice in applied computational diagnostics and pandemic response technologies.
Research Focus
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Top Papers
- 1