Innovative Researcher Award
Sudharani Banappagoudar
College of Applied Medical Sciences, King Faisal University, Al Hasa, Saudi Arabia
| Sudharani Banappagoudar |
| Affiliation |
College of Applied Medical Sciences, King Faisal University |
| Country |
Saudi Arabia |
| Scopus ID |
57989159300 |
| Documents |
21 |
| Citations |
52 |
| h-index |
2 |
| Subject Area |
Nanotechnology in Medicine and Healthcare |
| Event |
Global Nano Awards |
| ORCID |
0000-0002-7259-769X |
The Innovative Researcher Award recognizes sustained scholarly contributions that demonstrate scientific quality, interdisciplinary collaboration, and practical relevance. Sudharani Banappagoudar has contributed to healthcare technology, medical nanotechnology, disease prediction, artificial intelligence applications, and clinical research through peer-reviewed publications spanning healthcare analytics, medical imaging, and public health investigations.[1]
Abstract
Sudharani Banappagoudar’s research portfolio reflects interdisciplinary engagement across healthcare technologies, nanotechnology, clinical decision support, machine learning, and medical diagnostics. Published studies examine disease prediction, cervical cancer screening, occupational health, and healthcare workforce wellbeing. The research demonstrates practical applications of computational methods in improving clinical decision-making while supporting evidence-based healthcare practices.[1]
Keywords
- Nanotechnology
- Healthcare Analytics
- Machine Learning
- Medical Imaging
- Clinical Research
Introduction
Modern healthcare increasingly depends on computational intelligence, predictive analytics, and advanced biomedical technologies. The research activities of Sudharani Banappagoudar contribute to this evolving landscape by integrating artificial intelligence with healthcare applications, enabling improved disease identification, healthcare management, and technology-assisted diagnosis.[2]
Research Profile
According to the supplied research metrics, the researcher has produced 21 indexed publications with 52 citations and an h-index of 2. Research interests include nanotechnology in medicine, intelligent healthcare systems, clinical informatics, biomedical image analysis, and healthcare management. These indicators demonstrate active scholarly participation while highlighting continued development in interdisciplinary biomedical research.[3]
Research Contributions
Recent investigations include studies on technostress and burnout among healthcare professionals, machine learning prediction of noncommunicable diseases in Saudi Arabia, automated cervical cancer screening from Pap smear images, and hybrid learning approaches for drone detection systems. Collectively, these publications illustrate methodological diversity and interdisciplinary collaboration between computing and healthcare sciences.[1][4]
Publications
- Technostress, Perceived Organizational Support, and Burnout Among Healthcare Professionals (2026).
- Longitudinal Trends in Noncommunicable Disease Risk Factors in Saudi Arabia (2026).
- TF-ViS-CvC Automated Cervical Cancer Screening (2025).
- Classification of Drone Detection Module using Hybrid Learning Algorithms (2024).
Research Impact
The available publication record demonstrates continuing contributions toward healthcare innovation through computational techniques. Research outputs address practical healthcare challenges including workforce wellbeing, disease surveillance, predictive analytics, and medical image processing. Such interdisciplinary work supports the growing integration of engineering, artificial intelligence, and clinical sciences.[2]
Award Suitability
The research portfolio aligns with the objectives of the Global Nano Awards by demonstrating innovation in healthcare technologies and scientific collaboration. Peer-reviewed publications, interdisciplinary methodology, and measurable scholarly activity provide an appropriate basis for consideration under the Innovative Researcher Award category.[5]
Conclusion
Sudharani Banappagoudar has established a research profile centered on healthcare innovation supported by computational methodologies. The documented publications, citation record, and interdisciplinary focus collectively demonstrate continuing engagement with scientific research relevant to modern medicine, healthcare technology, and biomedical engineering.
External Links
References
- Banappagoudar S. Technostress, Perceived Organizational Support, and Burnout Among Healthcare Professionals. Nursing Reports (2026). https://doi.org/10.3390/nursrep16070239
- Banappagoudar S. Longitudinal Trends in Noncommunicable Disease Risk Factors and Premature Mortality in Saudi Arabia. Journal of Clinical Medicine (2026). https://doi.org/10.3390/jcm15114387
- Research metrics compiled from supplied Scopus author information and institutional profile.
- Banappagoudar S. TF-ViS-CvC: Automated Transforming Vision Based Cervical Cancer Screening. International Journal of Information Technology (2025). https://doi.org/10.1007/s41870-024-02336-5
- Banappagoudar S. Classification of Drone Detection Module using Hybrid Learning Algorithms. ICACITE 2024.
https://doi.org/10.1109/ICACITE60783.2024.10616656