Innovative Research Award
Prof. Dr. Gajendra Sharma
Kathmandu University, Nepal
| Prof. Dr. Gajendra Sharma |
| Affiliation |
Kathmandu University |
| Country |
Nepal |
| Scopus ID |
37075772400 |
| Documents |
18 |
| Citations |
177 |
| h-index |
5 |
| Subject Area |
Internet of Things |
| Event |
Global CSE Awards |
Prof. Dr. Gajendra Sharma is a researcher affiliated with Kathmandu University in Nepal whose documented scholarly work includes studies in e-commerce service quality, computational intelligence, chronic disease risk assessment, and Internet of Things applications. His publications include research addressing digital services and IoT-enabled water supply management, providing a multidisciplinary basis for recognition under the Innovative Research Award category.[1][2][3]
Abstract
Prof. Dr. Gajendra Sharma is affiliated with Kathmandu University, Nepal, and has documented research spanning digital commerce, computational intelligence, chronic disease risk assessment, and Internet of Things applications. His publications address online service quality, machine learning-based health-risk assessment, and IoT-enabled smart-city infrastructure. His work on water supply management applies IoT concepts to leakage monitoring, consumption measurement, automated metering, billing, and remote control. His interdisciplinary publication record demonstrates engagement with applied computing problems and technology-oriented research. The documented studies provide a basis for considering his research activities within the Innovative Research Award category at the Global CSE Awards.[1][2][3]
Keywords
Internet of Things; IoT; smart city; water supply management; computational intelligence; machine learning; chronic disease risk assessment; e-commerce; online service quality; research innovation.
Introduction
Prof. Dr. Gajendra Sharma’s documented research reflects the application of computing and information technologies to practical problems. His published studies cover e-commerce service quality, computational methods for health-risk assessment, and IoT frameworks for smart-city water management, illustrating research across digital services, intelligent systems, and connected infrastructure.[1][2][3]
Research Profile
The research profile represented by the supplied publications combines information systems, machine learning, and Internet of Things research. Sharma’s work includes analysis of online service quality and user satisfaction, a metaheuristic and machine-learning approach to chronic disease risk assessment, and an IoT framework for water supply management in Nepal.[1][2][3]
Research Contributions
The documented contributions include investigation of information and online service quality in e-commerce, development of a combined attribute-selection and learning model for chronic disease risk assessment, and formulation of an IoT framework for water-supply monitoring. These studies address distinct application areas while sharing an emphasis on technology-supported analysis and management.[1][2][3]
Publications
The supplied publication record includes studies published in The Electronic Library, Computational Intelligence and Neuroscience, and Applied Sciences. The first examines e-commerce Website service quality and user satisfaction, the second presents a metaheuristic attribute-selection approach combined with unsupervised and supervised learning, and the third develops an IoT framework for water supply management in Nepal.[1][2][3]
Research Impact
The supplied Scopus metrics report 18 documents, 177 citations, and an h-index of 5 for the identified Scopus author profile. These metrics provide quantitative indicators of indexed publication and citation activity, while the cited studies demonstrate applications in e-commerce, health-risk analytics, and IoT-based smart-city infrastructure.[1][2][3]
Award Suitability
For the Global CSE Awards, the supplied research record provides documented evidence of work involving IoT, intelligent computing, digital services, and applied information technology. The IoT water-management publication and computational intelligence study particularly demonstrate application-oriented research, while the e-commerce study adds a digital-service dimension to the broader research profile.[1][2][3]
Conclusion
The documented publications of Prof. Dr. Gajendra Sharma present a multidisciplinary research profile connecting information systems, computational intelligence, machine learning, and IoT applications. His studies address practical technology challenges in digital commerce, health-risk assessment, and smart-city water management, providing a scholarly basis for presenting his work within an innovative research recognition context.[1][2][3]
External Links
References
- Sharma, G., & Lijuan, W. (2015). The effects of online service quality of e-commerce Websites on user satisfaction. The Electronic Library, 33(3), 468–485. https://doi.org/10.1108/EL-10-2013-0193
https://doi.org/10.1108/EL-10-2013-0193
- Mishra, S., Thakkar, H. K., Singh, P., & Sharma, G. (2022). A decisive metaheuristic attribute selector enabled combined unsupervised-supervised model for chronic disease risk assessment. Computational Intelligence and Neuroscience, 2022, Article 8749353. https://doi.org/10.1155/2022/8749353
https://doi.org/10.1155/2022/8749353
- Gautam, G., Sharma, G., Magar, B. T., Shrestha, B., Cho, S., & Seo, C. (2021). Usage of IoT framework in water supply management for smart city in Nepal. Applied Sciences, 11(12), 5662. https://doi.org/10.3390/app11125662
https://doi.org/10.3390/app11125662