Surjit Bhai | Computational Chemistry | Innovative Research Award

Published-on by Indian Scientist Awards

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

Nagmi Bano | Bioinformatics | Best Researcher Award

Published-on by Indian Scientist Awards

Ms. Nagmi Bano | Bioinformatics | Best Researcher Award

Jamia Millia Islamia- India

Author Profile

Early Academic Pursuits

Nagmi Bano’s academic journey began with a Bachelor of Science degree from the University of Allahabad, Uttar Pradesh, completed between 2017 and 2020. Her passion for bioinformatics led her to pursue a Master of Science degree in the field at Jamia Millia Islamia, New Delhi, where she achieved an impressive CGPA of 9.5. This strong academic foundation set the stage for her advanced research pursuits and professional development.

Professional Endeavors

Nagmi’s professional experience includes working as a Project Assistant at the Translational Bioinformatics Lab of the International Centre for Genetic Engineering and Biotechnology (ICGEB). This role provided her with hands-on experience in cutting-edge bioinformatics research and practical application of her academic knowledge. Additionally, her MSc dissertation focused on understanding the role of drug enumeration towards single capsule-based drug designing and development, further honing her expertise in the field.

Contributions and Research Focus

Currently, Nagmi is a dedicated Ph.D. scholar in Bioinformatics at the Department of Computer Science, Jamia Millia Islamia, New Delhi, under the supervision of Prof. Khalid Raza. Her research centers on the critical issue of overcoming multidrug resistance (MDR) through AI and molecular enumeration techniques. Key areas of her research include:

  • Drug Designing: Developing new strategies to design effective drugs.
  • Machine Learning: Utilizing advanced algorithms to predict and model biological phenomena.
  • Molecular Dynamic Simulation: Simulating the behavior of molecules to understand their interactions.
  • Pharmacophore Modeling: Identifying the essential features of molecules required for biological activity.
  • Protein Modeling: Creating accurate models of protein structures to understand their functions and interactions.

Accolades and Recognition

Nagmi’s dedication and excellence in her field have not gone unnoticed. She has been recognized for her outstanding academic performance and contributions to bioinformatics. Her work at ICGEB and her high CGPA during her MSc are testaments to her commitment and expertise.

Impact and Influence

Nagmi’s work in bioinformatics, particularly her research on MDR, has the potential to significantly impact the field of drug design and development. By leveraging AI and molecular techniques, her research aims to provide innovative solutions to one of the most challenging problems in medicine today. Her contributions are expected to pave the way for more effective treatments and improved patient outcomes.

Legacy and Future Contributions

Nagmi Bano is poised to make substantial contributions to the field of bioinformatics. Her dedication to overcoming multidrug resistance through innovative research methodologies positions her as a future leader in the field. As she continues her Ph.D. studies and beyond, her work is likely to inspire and influence future generations of scientists and researchers.