Innovative Research Award
Surjit Bhai
Assam down town University
| Surjit Bhai |
| Affiliation |
Assam down town University |
| Country |
India |
| Scholar ID |
74fJslYAAAAJ |
| Documents |
18 |
| Citations |
126 |
| h-index |
6 |
| Subject Area |
Computational Chemistry |
| Event |
Indian Scientist Awards |
Surjit Bhai is an academic researcher affiliated with Assam down town University, India. His research activities are primarily associated with Computational Chemistry, an interdisciplinary field integrating chemistry, mathematics, physics, and computer science to investigate molecular structures, chemical processes, and predictive scientific models. His documented scholarly record reflects sustained academic engagement through publications, citations, and research dissemination activities that contribute to the advancement of computational and theoretical chemical sciences.[1]
Abstract
The Innovative Research Award recognizes scholarly contributions that demonstrate originality, scientific relevance, and sustained academic productivity. Surjit Bhai’s research profile highlights active participation in Computational Chemistry, supported by a measurable publication record and citation impact. His academic contributions align with contemporary research priorities involving computational modeling, molecular simulations, and theoretical investigations that support scientific discovery and technological advancement.[1][2]
Keywords
Computational Chemistry; Molecular Modeling; Chemical Informatics; Quantum Chemistry; Scientific Computing; Innovative Research; Theoretical Chemistry; Research Excellence; Chemical Simulations; Academic Scholarship.
Introduction
Computational Chemistry has emerged as a critical scientific discipline that enables researchers to investigate molecular behavior and chemical interactions through computational methods. The field contributes significantly to materials science, pharmaceutical research, environmental studies, and molecular engineering. Recognition programs such as the Innovative Research Award acknowledge researchers whose scholarly efforts contribute to expanding scientific understanding and innovation within these domains.[2]
Research Profile
According to available scholarly metrics, Surjit Bhai has produced eighteen documented research publications and accumulated one hundred twenty-six citations, with an h-index of six. These indicators reflect academic visibility and engagement within the scientific community. His research interests focus on computational approaches to chemical analysis, molecular systems, and theoretical investigations that support scientific advancement.[1]
- Research specialization in Computational Chemistry.
- Experience in molecular modeling and computational analysis.
- Contribution to peer-reviewed scientific literature.
- Participation in interdisciplinary scientific research initiatives.
Research Contributions
The research contributions associated with Surjit Bhai emphasize the application of computational techniques to investigate chemical structures, reaction mechanisms, and molecular properties. Such work supports efficient scientific experimentation by complementing laboratory-based investigations with predictive computational frameworks. Computational Chemistry continues to play an important role in accelerating scientific discovery and reducing experimental complexity across multiple disciplines.[2][3]
- Computational investigation of molecular systems.
- Development and application of theoretical chemical models.
- Support for data-driven scientific analysis.
- Contribution to interdisciplinary computational research.
Publications
The researcher’s publication portfolio reflects continued scholarly engagement and participation in academic communication. Published works contribute to the dissemination of scientific knowledge and provide opportunities for peer review, validation, and future research development.[1]
- Peer-reviewed journal articles in Computational Chemistry.
- Research papers involving molecular simulations and theoretical studies.
- Conference publications and scientific communications.
- Collaborative interdisciplinary research outputs.
Research Impact
Citation-based indicators provide one perspective on scholarly influence and visibility. The research profile associated with Surjit Bhai demonstrates measurable academic impact through citation activity and publication performance. These indicators suggest that his work contributes to ongoing scientific discussions and supports further investigations within Computational Chemistry and related disciplines.[1]
Award Suitability
The Innovative Research Award recognizes originality, scientific rigor, and meaningful scholarly contributions. Based on available academic metrics and documented research activities, Surjit Bhai demonstrates characteristics commonly associated with innovative scientific inquiry, including publication productivity, citation impact, and engagement with computational methodologies that address contemporary scientific challenges. These attributes support consideration for recognition within research excellence programs.[1][4]
Conclusion
Surjit Bhai’s academic profile reflects continued contributions to Computational Chemistry through scholarly publication, citation impact, and research engagement. His work contributes to the broader advancement of computational scientific methodologies and supports knowledge development within chemistry-related disciplines. The Innovative Research Award provides an appropriate framework for recognizing such contributions and encouraging future academic achievements.[1]
External Links
References
- Google Scholar. (n.d.). Scholar profile: Surjit Bhai, Scholar ID 74fJslYAAAAJ. https://scholar.google.com/citations?user=74fJslYAAAAJ&hl=en
- Recyclable Functionalized Material for Sensitive Detection and Exceptional Sorption of Hexavalent Chromium and Permanganate Ions with Biosensing ApplicationsClick to copy article link. https://pubs.acs.org/doi/abs/10.1021/acsabm.1c00609
- Estimation of bisulfate in edible plant foods, dog urine, and drugs: picomolar level detection and bio-imaging in living organisms†
https://pubs.rsc.org/en/content/articlelanding/2017/vz/c9an01078e/unauth
- Probing the Interaction of Nucleobases and Fluorophore-Tagged Nucleobases with Graphene Surface: Adsorption and Fluorescence Studies.
https://chemistry-europe.onlinelibrary.wiley.com/doi/abs/10.1002/slct.201904442