Research Excellence Award
Vimala roselin
Kristu Jayanti University, India
Vimala roselin is a researcher associated with Kristu Jayanti University, India, whose documented publication record is focused on computer science and applied artificial intelligence. The supplied scholarly record includes research on generative adversarial networks, machine learning, deep learning, neural-network equalisation, clustering, human freedom indices, and big-data security. The available profile information records five documents, one citation, and an h-index of 1. [1]
Abstract
The research profile presents an interdisciplinary application of computational intelligence to practical problems. Recent work includes synthetic image generation for crop disease classification, automated waste classification, neural-network-based system equalisation, and improved clustering methods. The record also includes earlier work concerning secure sensitive-data sharing on big-data platforms. Collectively, these publications indicate engagement with machine learning, deep learning, computer vision, data security, and computational modelling. [2] [3]
Keywords
Computer science; machine learning; deep learning; generative adversarial networks; image classification; waste classification; neural networks; clustering; big data; data security.
Introduction
The supplied publication record spans 2015 to 2026 and demonstrates an evolving interest in computational methods. Recent publications emphasize artificial intelligence and machine learning applications, while the earlier record addresses information security and big-data environments. The combination illustrates the broad application of computer science techniques to classification, optimisation, infrastructure, and data-management problems. [4]
Research Profile
The stated subject area is Computer Science. The supplied profile metrics identify five documents, one citation, and an h-index of 1. Because bibliometric indicators vary according to database coverage and indexing dates, these figures represent the supplied snapshot rather than a permanent measure of research activity. The Google Scholar record provides the associated publication list used for this article. [1]
Research Contributions
- Application of generative adversarial networks to synthetic image generation for crop disease classification. [2]
- Development of automated waste classification approaches using machine learning and deep learning. [3]
- Investigation of neural-network-based equalisation within narrowband electric-grid systems. [4]
- Use of clustering and computational methods for comparative analysis and data-oriented applications. [5]
Publications
Synthetic Image Generation for Crop Disease Classification Using Generative Adversarial Networks (2025) examines synthetic image generation for crop disease classification using generative adversarial networks. [2]
Extrapolation against categorisation for neural network-based system equalisation in a narrowband electric grid (2026) addresses computational approaches to system equalisation and appears in the International Journal of Critical Infrastructures. [4]
A Framework for Automated Waste Classification System using Machine Learning and Deep Learning Techniques (2025) focuses on automated classification using machine learning and deep learning techniques. [3]
Comparative Analysis of Improved K-Means Clustering for Human Freedom Index (2024) applies an improved clustering approach to comparative analysis of the Human Freedom Index. [5]
Secure sensitive data sharing on a big data platform (2015) concerns secure information sharing within big-data environments. [6]
Research Impact
The supplied profile reports one citation and an h-index of 1 across five documents. The publication topics nevertheless demonstrate a range of applied computer science problems, from agricultural image analysis and waste classification to infrastructure systems and data security. Citation counts can change as databases are updated and should therefore be interpreted with the relevant publication dates and indexing coverage. [1]
Award Suitability
The documented publication portfolio provides evidence of research activity relevant to a Research Excellence Award in Computer Science. Its themes include artificial intelligence, machine learning, deep learning, clustering, computer vision, networked infrastructure, and data security. The record may therefore be considered alongside the complete academic profile, publication evidence, and applicable criteria of the International Academic Excellence Awards.
Conclusion
vimala roselin’s supplied research record reflects activity across several areas of applied Computer Science. The publications demonstrate the use of contemporary computational techniques for image classification, waste management, infrastructure systems, clustering, and secure data sharing. The available bibliometric indicators and publication record provide a concise academic profile for consideration within the International Academic Excellence Awards framework.
External Links
References
- Google Scholar. (n.d.). Vimala Roselin — publication profile.
https://scholar.google.com/citations?hl=en&user=6UYBA_UAAAAJ&view_op=list_works&sortby=title
- Roselin, J. V., et al. (2025). Synthetic Image Generation for Crop Disease Classification Using Generative Adversarial Networks. International Workshop on AI & ML-Frontiers in Cross Disciplinary Applications.
Google Scholar publication record
- Roselin, J. V., et al. (2025). A Framework for Automated Waste Classification System using Machine Learning and Deep Learning Techniques. 5th International Conference on Expert Clouds and Applications (ICOECA).
Google Scholar publication record
- Renjith, E. J., Roselin, J. V., Ramyadevi, R., Prema, R., & Priscila, S. S. (2026). Extrapolation against categorisation for neural network-based system equalisation in a narrowband electric grid. International Journal of Critical Infrastructures, 22(4), 351–376.
Google Scholar publication record
- Ilyas, F. M., Priscila, S. S., Sheela, K., Vimala Roselin, J., Sona, K. V., & Prema, R. (2024). Comparative Analysis of Improved K-Means Clustering for Human Freedom Index. International Conference on Advancements in Smart Computing and Information.
Google Scholar publication record
- Roselin, V. (2015). Secure sensitive data sharing on a big data platform. Tsinghua Science and Technology.
Google Scholar publication record