V. Khanaa
Papers
2
Total Citations
15
H-Index
2
About
V. Khanaa is a researcher specializing in software engineering and biomedical image processing, with a particular focus on safety-critical systems and medical imaging. Their most cited work, "Architectural patterns to design software safety based safety-critical systems" (2011, 13 citations), addresses the critical challenge of designing reliable embedded systems where failure could lead to injury or property damage. This paper provides reusable architectural solutions for common design problems in safety-critical applications, helping engineers select appropriate patterns to ensure system integrity. More recently, Khanaa has contributed to medical imaging with "Multimodality Brain Tumor Image Fusion Using Wavelet and Contourlet Transformation" (2023), exploring advanced fusion techniques for improved diagnostic accuracy. While their citation counts are modest, Khanaa's work bridges foundational software safety principles with emerging biomedical technologies, demonstrating a commitment to both theoretical rigor and practical application. Their research is particularly valuable for students and practitioners working on dependable systems or medical image analysis, offering clear, actionable insights into complex design challenges.
Research Focus
Key Achievements
Top Papers
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