Innovative Research Award
Anindya Bijoy Das
The University of Akron
| Anindya Bijoy Das |
| Affiliation |
The University of Akron |
| Country |
United States |
| Scopus ID |
57701018300 |
| Documents |
34 |
| Citations |
392 |
| h-index |
10 |
| Subject Area |
ML in Healthcare |
| Event |
International AI Data Scientists Award |
| ORCID |
0000-0002-3615-7400 |
Anindya Bijoy Das is a researcher affiliated with The University of Akron, United States. His scholarly work contributes to the advancement of machine learning applications in healthcare, with emphasis on data-driven methods that support clinical decision-making, predictive analytics, and biomedical research. Based on available publication and citation metrics, his research demonstrates sustained academic engagement and measurable scientific impact within interdisciplinary domains.[1]
Abstract
This article presents an academic overview of Anindya Bijoy Das and highlights contributions in machine learning for healthcare. The profile summarizes scholarly output, citation performance, research impact, and relevance to innovation-oriented academic recognition programs.[1]
Keywords
Machine Learning, Healthcare Analytics, Artificial Intelligence, Biomedical Data Science, Predictive Modeling, Clinical Informatics.
Introduction
The integration of artificial intelligence into healthcare has transformed modern research and clinical practice. Researchers such as Anindya Bijoy Das contribute to this evolving field by developing analytical frameworks and intelligent methodologies that support improved healthcare outcomes and evidence-based decision-making.[2]
Research Profile
The research profile of Anindya Bijoy Das reflects interdisciplinary expertise spanning machine learning, healthcare data analysis, and computational methodologies. With 34 indexed documents and 392 citations, the profile indicates active participation in internationally recognized scholarly communication channels.[1]
Research Contributions
Key contributions involve the application of advanced machine learning techniques to healthcare datasets, enabling improved prediction, classification, and data interpretation. Such work supports the broader objective of translating computational innovation into practical healthcare solutions.[2]
Publications
- Research publications in machine learning and healthcare analytics.
- Studies addressing predictive healthcare models and intelligent systems.
- Collaborative research contributing to data-driven medical innovation.
Research Impact
Citation metrics and publication records indicate meaningful academic influence. An h-index of 10 reflects consistent citation activity across multiple publications, demonstrating visibility within the scientific community and engagement with contemporary healthcare research challenges.[1]
Award Suitability
The researcher’s publication performance, interdisciplinary contributions, and focus on machine learning in healthcare align with the objectives of the International AI Data Scientists Award. The profile reflects innovation, scholarly productivity, and measurable research impact suitable for academic recognition.[3]
Conclusion
Anindya Bijoy Das has established a research profile characterized by consistent scholarly output and contributions to healthcare-focused artificial intelligence. The available evidence supports recognition of his work within academic and innovation-oriented award frameworks.
External Links
References
- Elsevier. (n.d.). Scopus author details: Anindya Bijoy Das, Author ID 57701018300. Scopus. https://www.scopus.com/pages/authors/57701018300
- Artificial Intelligence in Healthcare Literature.
https://doi.org/10.1016/j.artmed.2020.101944
- International AI Data Scientists Award.
https://aidatascientists.com/