Sk Hasane Ahammad
Papers
2
Total Citations
36
H-Index
2
About
Sk Hasane Ahammad is a multidisciplinary researcher whose work bridges biomedical imaging and computational fluid dynamics. His most cited paper, "Liver Segmentation using Abdominal CT Scanning to detect Liver Disease Area" (2019, 23 citations), addresses a critical challenge in medical diagnostics: accurately identifying liver disease through automated segmentation of CT scans. By developing methods to isolate liver tissue from abdominal scans, Ahammad’s work supports early detection of conditions that impair the liver’s role in metabolism and nutrient production—a contribution with direct clinical relevance. In parallel, his research extends to renewable energy engineering, as seen in "Modeling and Analysis of Kaplan Turbine Blade Using CFD" (2018, 13 citations). Here, he applies computational fluid dynamics to optimize turbine blade design, enabling virtual testing that reduces reliance on physical prototypes. This dual focus on healthcare and energy reflects a versatile approach to solving real-world problems through computational modeling. With over 36 combined citations, Ahammad’s work demonstrates impact across distinct fields, offering tools that enhance both medical imaging analysis and sustainable energy systems.
Research Focus
Key Achievements
Top Papers
- 1Liver Segmentation using Abdominal CT Scanning to detect Liver Disease Area23 citations · 2019
- 2Modeling and Analysis of Kaplan Turbine Blade Using CFD13 citations · 2018