Surjit Bhai | Computational Chemistry | Innovative Research Award

Published-on by Indian Scientist

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]

  1. Peer-reviewed journal articles in Computational Chemistry.
  2. Research papers involving molecular simulations and theoretical studies.
  3. Conference publications and scientific communications.
  4. 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]

References

  1. Google Scholar. (n.d.). Scholar profile: Surjit Bhai, Scholar ID 74fJslYAAAAJ. https://scholar.google.com/citations?user=74fJslYAAAAJ&hl=en
  2. 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
  3. 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
  4. 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

Satyamvada Maurya | Computational Biology | Best Researcher Award

Published-on by Indian Scientist

Mrs. Satyamvada Maurya | Computational Biology | Best Researcher Award

ICAR-National Bureau of Fish Genetic Resources | India

Dr. Satyamvada Maurya is a bioinformatics researcher with extensive experience in genomics, computational biology, and drug discovery. She holds a Ph.D. in Bioinformatics, focusing on the design and development of novel anti-tuberculosis agents through computational approaches. Her academic foundation includes a Master’s in Bioinformatics and a Bachelor’s in Biotechnology, which laid the groundwork for her multidisciplinary research. She has worked as a Project Assistant and Young Professional in premier Indian research institutes, contributing to projects in genome analysis, database development, SNP characterization, and functional genomics of aquatic organisms, particularly Clarias magur. Her research interests span next-generation sequencing, genome analysis, protein structure-function prediction, drug design, homology modeling, phylogenetic analysis, and database creation for biological resources. She has authored multiple research articles, book chapters, training manuals, and popular science articles, accumulating 27 citations with an h-index of 3 and i10-index of 1, reflecting the impact of her work. She has received awards including the TEQIP fellowship and best presentation accolades at national and international conferences. Dr. Maurya is committed to advancing bioinformatics applications in both healthcare and aquaculture, bridging computational tools with experimental biology to address complex biological challenges. Her work continues to contribute to the development of innovative solutions in genomics and drug discovery.

Profile: Google Scholar

Featured Publications

Verma, S., Maurya, R., & Maurya, S. (2016). Prediction of gene action and combining ability for yield and quality traits in F1 and F2 generations of wheat (Triticum aestivum L.). Tropical Plant Research, 3(2), 449–459.

Maurya, S., Jain, A., Singh, V., Haque, S., & Mishra, B. N. (2023). Evaluation of Saraca asoca for its anti-tubercular potential via molecular docking and molecular dynamics simulation studies. ChemistrySelect, 8(12), e202204899.

Maurya, S., Alhazmi, A., Vidyarthi, A. S., Jain, A., Singh, V., Khan, F., Haque, S., & Mishra, B. N. (2022). In-silico study reveals potential antitubercular drug targets unique to Mycobacterium tuberculosis H37Rv. Minerva Biotechnology & Biomolecular Research, 34(2), 71–79.

Maurya, S., Kumar, M. S., Kumar, R., & Kushwaha, B. (2024). Role of machine learning and artificial intelligence in transforming aquaculture and fisheries sector. Indian Farming, 74(8), 24–27.

Maurya, S., Jain, A., Rehman, M. T., Hakamy, A., Bantun, F., AlAjmi, M. F., Singh, V., … Mishra, B. N. (2023). In silico identification of novel derivatives of rifampicin targeting Ribonuclease VapC2 of M. tuberculosis H37Rv: Rifampicin derivatives target VapC2 of Mtb H37Rv. Molecules, 28(4), 1652.

Uppula Ramya | Composite Materials | Women Researcher Award

Published-on by Indian Scientist

Mrs. Uppula Ramya | Composite Materials | Women Researcher Award

SR University | India

Dr. U. Ramya is a research scholar in Mechanical Engineering at SR University, Warangal, specializing in advanced composite materials. She holds a Ph.D. in Mechanical Engineering (Composite Materials) from SR University, an M.Tech in Design Engineering from Kakatiya Institute of Technology & Science, and a B.Tech in Mechanical Engineering from SR Engineering College. With substantial experience as an Assistant Professor at Jayamukhi Institute of Technological Sciences, she has taught courses in Machine Design, Strength of Materials, Engineering Drawing, and CAD/FEA Analysis while guiding undergraduate projects on composite materials and finite element simulations. Her research focuses on polymer and elastomer composites, including Carbon Fiber Reinforced Liquid Silicone Rubber (CF-LSR), CF-PEEK, nano-reinforced LSR, ceramifiable fillers, high-temperature and dielectric applications, and mechanical and thermal characterization using techniques such as TGA, FTIR, XRD, and DMA. She also applies molecular dynamics simulations to study polymer–filler interactions. Dr. Ramya has published multiple peer-reviewed articles, holds patents on corrosion-resistant and AI-driven polymer composites, and has a Google Scholar citation count of 2 with an h-index of 1. Recognized for her innovation in composite materials, she was nominated for the Best Researcher Award in 2025. Her work contributes to industrial and electrical applications by advancing high-performance, multifunctional composite materials.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Ramya, U., Sammaiah, P., Subbarao, M., Mahesh, V., & Satheesh Kumar, K. (2025). Advancements in carbon fiber reinforced liquid silicone rubber: A scientometric study. Journal of The Institution of Engineers (India): Series C, 106(1), 495–504.

Ramya, U., Sammaiah, P., & Kumar, K. S. (2025). Scientometric analysis of CF-PEEK composites: Research trends and emerging opportunities. Next Research, 2(3), 100513.